pages.json

[
  {
    "title": "Builders",
    "url": "builders.html",
    "content": "LSST-TVS members LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In TVS Builders and Permanent Data Right Holders TVS Builders A TVS Builder is defined as TVS members who contributed significantly with 2FTE of effort in creating infrastructure for the SC or with an equivalently significant contribution.\n        Contributions that qualify, in addition to infrastructure and software building, include service: serving in any of the boards (membership, publication, builders-status board, or policy-review board), as subgroup coordinator, or as spokesperson or in any other active role in a TVS SC task force, as defined by the task force itself.\n        The effort and commitment must be substantial and over a significant period of time.\n        The builder status is achieved by a process of (self)nomination and award, with the final decision resting in the hands of a committe external to TVS .\n        Simply sitting on a board or any of the bodies specified above does not guarantee the achievement of builder-status. TVS Builders have the right to be asked if they want to be co-authors on TVS publications, as defined in this document .\n        The builders should not abuse this right and should evaluate if their contribution to TVS has in fact facilitated the publication.\n        Their co-authorship on a paper can be appealed, and the publication board is the body who has the right to deny a builder co-authorship on a TVS publication. A TVS member who qualifies for Builder status can also qualify to become a Rubin Permanent Data Rights Holder .\n        As a Rubin Permanent Data Rights Holder, the TVS member would retain Rubin data rights even if exiting the data right environment (US, Chile, and other qualifying countries and institutes).\n        To apply for Rubin Permanent Data Rights Holder status, a TVS Builder must submit a request to the Rubin Director. If you want to nominate a TVS SC member for Builder status (or to self-nominate), use this form . The following is a list of current TVS Builders and Permanent Data Right Holders: - - Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group focuses preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time  (LSST). Learn More Twitter Github Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "LSST-TVS members LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In TVS Builders and Permanent Data Right Holders TVS Builders A TVS Builder is defined as TVS members who contributed signi..."
  },
  {
    "title": "Calltoaction",
    "url": "calltoaction.html",
    "content": "TVS call to action LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Call to action Our commitment to Justice, Equity, Diversity, and Inclusion June 2020 Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group focuses preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time  (LSST). Learn More Twitter Facebook Instagram RSS Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "TVS call to action LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Call to action Our commitment to Justice, Equity, Diversity, and Inclusion June 2020 Rubin LSST Transients and Variabl..."
  },
  {
    "title": "Colloquia",
    "url": "colloquia.html",
    "content": "LSST-TVS events LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In TVS Colloquium Series In addition to our regular meetings, TVS hosts a colloquium series designed to feature a wide range topics in greater detail.\n\t\t\t\t\tThese topics include science both directly related to LSST and also other topics of general interest to our members. We are also keen to feature topics of broad cultural interest, and welcome thought-provoking perspectives on science from all cultures and faiths, as well as from art and history. TVS Colloquia are recorded, and are shared publicly on our YouTube channel (search for Rubin LSST TVS Science Collaboration) with the speaker's permission. The Colloquium Series is organized by Priscila J. Pessi, of Stockholm University, and all members are encouraged to contact\n\t\t\t\t\ther\tvia the LSST Slack  to propose future colloquium topics. Upcoming colloquia Date Title Speaker Feb 27, 2024 Atypical electromagnetic transients from gravitational wave sources Imre Bartos Mar 26, 2024 GausSN: Bayesian Time Delay Estimation for Strongly Lensed Supernovae Erin Hayes Apr 23, 2024 Timedomes: a legacy time-domain survey on the LSST Deep Drilling Fields Maurizio Paolillo May 23, 2024 Attentive Latent Neural Processes for modeling Quasar Variability in the LSST Aman Nadimpalli Raju Jun 18, 2024 cancelled Jul 30, 2024 SNAD: enabling discovery in the era of big data Maria Pruzhinskaya Aug 27, 2024 A fast-cadenced search for gamma-ray burst orphan afterglows with the Deeper, Wider, Faster programme James Freeburn Sep , 2024 No colloquium LSST@Europe6 conference Oct 22, 2024 Leveraging distance metrics for machine learning in time-domain astronomy: DistClassiPy Siddharth Chaini Nov 19, 2024 Science with the ALeRCE community broker Alejandra Muñoz Arancibia Previous colloquia TVS science colloquia has been running since 2021. All previous colloquia can be found in the Rubin LSST TVS Science Collaboration Youtube channel . Rubin LSST Transients and Variable Stars Science Collaboration Twitter Github Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "LSST-TVS events LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In TVS Colloquium Series In addition to our regular meetings, TVS hosts a colloquium series designed to feature a wide range..."
  },
  {
    "title": "Ddfms Meeting 2018",
    "url": "DDFMS_meeting_2018.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Events Become a member Contact us Twitter Github Email LSST TVS Survey Strategy Proposal Preparation Workshop Conference: June 4-5 Unconference-Hackathon: June 6-8 Lehigh University, PA Scope and Purpose The purpose of this workshop is to organize the response of the TVS Science Collaboration to the upcoming LSST Observing Strategy white paper call with expected deadline Fall 2018. This workshop will include discussion of proposals, discussion and hands-on work on the creation of figures of merit (FoM) to evaluate the success of a particular LSST observing strategy to answer a science question, and creation of MAFs (Metric Analysis Framework instances) to evaluate the FoM for a specific LSST observing strategy. This workshop will include observing strategy proposals for Deep Drilling Fields and Minisurveys, as well as Wide-Fast-Deep survey. The workshop is designed to enable collaborative hands-on work and a set of MAFs for various science cases relevant to transient and variable science are expected to be delivered at the end of the week. Resources: On Github: slides, code, etc on Slack: LSSTSC #tvs-2018-june-meeting remote connection info Sponsors: Enabling Science Program Organizers: Scientific Organizing Committee: Local Organizing Committee: Federica Bianco , NYU Joshua Pepper Lehigh Rosaria Bonito, INAF Somayeh\tKhakpash, Lehigh Joshua Pepper , Lehigh Rachel Street , LCO the TVS Deep Drilling Fields and Minisurveys Task Force Invited Speakers: Eric Bellm (LSST) Owen Boberg (LSST) Martin Donachie (TVS) Eric Feigelson (ISSC) Eric Gawiser (DESC) Melissa Graham (LSST - TVS) Michael Johnson (TVS) Bryce Kalmbach (DESC) Elle Ojala (TVS) Monika Soraisam (NOAO) Venue: Lehigh University, Bethlehem, Pennsylvania Conference Venue, STEPS 102, Lehigh University Lodging:\n            Comfort Suites University - mention \"LSST Group\" when you make your reservation by May 20th Getting to the Meeting:\n        Lehigh University is located in Bethlehem, PA.  Bethlehem is in eastern Pennsylvania, about an hour's drive north of Philadelphia and an hour west of New York City.  There is a regional airport nearby called Lehigh Valley International Airport (code ABE).  If you can fly into ABE, the university and the conference hotel are just a 12-minute drive away, with easy access via Uber or Lyft. You can also fly into Newark (EWR) or Philadelphia (PHL) airports.  You can rent a car at either airport and drive to Bethlehem.  Parking at the hotel is free.  If you fly into Newark, you can take a bus to Bethlehem using Transbridge Lines .  Note the bus schedule and fares ahead of time.  If you take the bus, get off at the South Bethlehem bus stop, which is a 5-minute walk from the hotel. Parking: We will have tags that you can hang from your rear-view mirror, and if you have it you can park for free on the 1st level of the Farrington Parking Garage.  The garage is located off of Asa Drive just east of Vine Street.  It has been added to the Google Map for the Meeting Participants: Humna\tAwan Rutgers DESC SC Barbara\tBalmverde Osservatorio Astrofisico di Torino TVS Multiwavelength Characterization/Counterparts Federica Bianco NYU TVS Supernovae Owen \tBoberg LSST & UW Niel\tBrandt Pennsylvania State University TVS Tidal Disruption Events/AGN SC Mi\tDai Rutgers TVS DESC SC Will\tDawson LLNL DESC SC Martin\tDonachie University of Auckland TVS Microlensing Eric\tFeigelson Pennsylvania State University ISSC SC Eric\tGawiser Rutgers DESC SC Melissa\tGraham LSST & UW TVS Supernovae Kelly\tHambleton Villanova TVS Pulsating Variables Dylan\tHilligoss University of Delaware SMWLV SC Michael\tJohnson University of Southampton TVS Fast Transients Bryce\tKalmbach University of Washington DESC SC Somayeh\tKhakpash Lehigh\tUniversity TVS Microlensing Michael\tLund Vanderbuilt TVS Transiting Planets Joshua\tPepper Lehigh University TVS Transiting Planets Andrej\tPrsa Villanova TVS Interacting Binaries Markus\tRabus PUC, Chile TVS Transiting Planets Gordon\tRichards Drexel AGN SC Monika\tSoraisam NOAO Rachel \tStreet LCO TVS Microlensing Victoria Ashley\tVillar Harvard University TVS Classification/Characterization Mark\tWells Pennsylvania State University TVS Interacting Binaries REMOTE PARTICIPANTS Sara \tBonito Osservatorio Astronomico di Palermo TVS Non-degenerate Eruptive Variables Maria Teresa\tBotticella Osservatorio Astronomico di Capodimonte TVS Supernovae Maria \tCarnero Osservatorio Astrofisico di Torino TVS Multiwavelength Characterization/Counterparts Andrea \tPastorello Osservatorio Astronomico di Padova TVS Supernovae Scientific Program: Proposed Splinter Sessions Splinter sessions can be proposed through the sign up form. Splinter sessions will be finalized based on the number of attendees interested. microlensing LMC/SMC variable stars young stars young and fast transients Supernovae/Blazars AGN R tutorial on irregular time series eclipsing binaries non-time critical science young and fast transients young stars",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Events Become a member Contact us Twitter Github Email LSST TVS Survey Strategy Proposal Preparation Workshop Conference: June 4-5 Unconference-Hackathon: June 6-8 Lehigh University, PA Sc..."
  },
  {
    "title": "Documents",
    "url": "documents.html",
    "content": "TVS Documents LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Collaboration Documents A central repository for key collaboration documents, policies, and charters. The google drive folder containing all relevant documents can be found here . File Name Link TVS Publication Policy.pdf View Policy TVS Getting Started Guide.pdf View Document TVS Code of Conduct View Document TVS charter View Document TVS charter supplementary document View Document TVS Authorship Appeal Request Form View Form TVS builder status nomination (Responses) View Form Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group focused on preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time (LSST). Learn More Twitter Github Email © Design: HTML5 UP .",
    "snippet": "TVS Documents LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Collaboration Documents A central repository for key collaboration documents, policies, and charters. The google drive fold..."
  },
  {
    "title": "Events",
    "url": "events.html",
    "content": "LSST-TVS events LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Upcoming Events TVS maintains a Google calendar of all our meetings and events which members are encouraged to import using this link. TVS Science colloquium series Click here for details Colloquia are usually held on a Tuesday at 9 am PST / 6 pm CET via zoom, about once a month. Past Events PCW 2021: Rubin annual all-hands meeting, this year online To register first make a account PCW 2020: Rubin annual all-hands meeting, this year online To register first make a account Rubin LSST metrics hackathon 2020 A hackathon to help users create and run cadence-evaluation metrics in the MAF-OpSim framework POSPONED DUE TO COVID: LSST Supernovae across the Science Collaborations joint conference Conference + Unconference-Hackathon: 2020,\n                        Location: University of Illinois LSST TVS+SMWLV joint conference Conference + Unconference-Hackathon::October 14-18 2019,\n                        Location: University of Delaware LSST TVS workshop 2018 Naples April 9-11, 2018 LSST INAF Cadence Proposals workshop Palermo October 8-10, 2018 LSST CCA Cadence Proposals hackathon Palermo, 2018 Rubin LSST Transients and Variable Stars Science Collaboration TVS Colloquium Series In addition to our regular meetings, TVS hosts a colloquium series designed to feature a wide range scientific and cultural topics in greater detail. Learn More Twitter Github Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "LSST-TVS events LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Upcoming Events TVS maintains a Google calendar of all our meetings and events which members are encouraged to import usi..."
  },
  {
    "title": "Gettingstarted",
    "url": "gettingstarted.html",
    "content": "TVS Getting started LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Getting started How to get startes in TVS June 2020 Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group focuses preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time  (LSST). Learn More Twitter Facebook Instagram RSS Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "TVS Getting started LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Getting started How to get startes in TVS June 2020 Rubin LSST Transients and Variable Stars Science Collaboration Ab..."
  },
  {
    "title": "Index",
    "url": "index.html",
    "content": "LSST-TVS LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes The TVS Science Collaboration The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Transients and Variable (TVS) Stars Collaboration focuses on the study of the transient and variable sky through the LSST data, including a large and diverse range of phenomena: variable events, periodic or not, explosive and eruptive transients, and geometric transients (e.g. eclipsing binaries and planets). Variability is a tell tale of the nature of the objects observed, but it also enables galactic studies (the mapping of the galactic structure), extragalactic studies (the characterization of the intracluster medium), and cosmological studies. Because of their physical and phenomenological diversity, the object we study span a wide range of timescales and present themselves in a range of brightnesses and colors. We work to understand and maximize the potential of LSST in the exploration of the variable and transient sky, one of the 4 science drivers of LSST . LSST also holds great potential for discovery of new transient phenomena, especially at the very short and very long time scales. Continue Reading Apply to become a member! Statement of Values A collaboratively written statement of values for the TVS SC June 2020 The goal of the LSST TVS SC is to advance our understanding of the Universe through science and to create and sustain a research environment in which all members can thrive.\n                                    Supporting an equitable space free of discrimination is first and foremost a matter of social justice. We recognize that academia is embedded within, and takes advantage of, systemic racism that perpetuate white supremacy and suppresses non-white voices and voices of diverse scholars along other axes or privilege. We, as an organization, renew our commitment to be proactive in order to fix and stop this “status quo” in our corner of the Universe.\n                                    The TVS SC is inherently a multinational organization with members from a wide range of cultures and this diversity strengthens our research by bringing in different perspectives and expertise.  We seek to enhance our diversity of membership and to create an educational and research culture that is welcoming and supportive for all members. We encourage people to apply and be an active part of TVS, regardless of their race, color, country of origin, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, disability or veteran status.  We have an ongoing commitment to a range of initiatives to make our organization more equitable and justice, undertaken with the guidance of the Justice, Equity, Diversity, and Inclusion (JEDI) group of the TVS SC.  More information on these activities can be found in our TVS call to action .\n                                    The leadership of the TVS SC and JEDI are responsible for, and all members are empowered to, ensuring full support for these activities. Accountability metrics are explicitly included in the same document. Continue Reading members TVS has over 520 members in 17 countries worldwide June 2020 We are an international organization with members in 5 continents. Membership is currently dominated by US and Chilean members, since those communities have free access to the Rubin data and have been involved with the survey since its start, but many European members have also joined and we are working to break barriers and reach other communities - see our TVS call to action and contact us if you are interested in the Rubin LSST. Our collaboration is organized in 14 groups with common expertise and interests, that are delineating a roadmap to maximize the potential of the LSST survey in the discovery and characterization of the transient sky. Continue Reading Apply to become a member! Contact Contact the co-Chairs for more information: Igor Andreoni - igor.andreoni at unc.edu Sara Bonito - rosaria.bonito at inaf.it Rubin LSST Transients and Variable Stars Science Collaboration Latest June 2024 The Software Taskforce of the TVS SC is happy to announce that the 2nd Intermediate Python for Astronomical\n\t\t\t\t\t\t Software Development workshop (aka InterPython) will take place on July 1-4, 2024. This workshop will be preceded by a single-day mini-workshop on Git Intro on June 26, 2024. The curriculum of the workshop can be found on the website , and its development is supported by the LSST Discovery Alliance Inclusive Collaborations Grant . The organizational details and registration link can be found in the Slack announcement . February 2024 On February 05-09, the TVS SC conveyed the first Intermediate Python for Astronomical\n\t\t\t\t\t\t Software Development workshop . The materials for the workshop were developed based\n\t\t\t\t\t\t on the Intermediate Research Software Development workshop created by the Carpentries community.\n\t\t\t\t\t\t The workshop development was supported by the LSST Discovery Alliance Inclusive Collaborations Grant . The next workshop will be LSST-wide and is expected to be organized by the end of 2024. October 2023 TVS received a LSST Discovery Alliance Inclusive Collaborations Grant and \n                                                     to develop a mentor training program - the program will be coordinated by Shar Daniels. Apply by 4/1 March 2023 TVS welcomes its new co-chairs Igor Andreoni and Sara Bonito !! January 2023 The fist TVS Census is now complete. Information on the TVS population is available here August 2022 The first version of the TVS Roadmap is now public and will be available on the arxiv on Wednesday 8/10/22. Dr. Kelly Hambleton is presenting it for the first time at on Monday 8/8 at IAU General Assembly 2022 - the roadmap current version is accessible here April 2021 The Heising-Simons Foundation awarded $900,000 to enable all astronomers to explore the potential of Rubin Observatory for Galactic, stellar, and Solar System science, through the work of Science Collaborations that are dedicated to these topics. March 2020 Impact of Rubin Observatory LSST Template Acquisition Strategies on Early Science from the Transients and Variable Stars Science Collaboration: Time-critical Science Cases March 2020 Impact of Rubin Observatory LSST Template Acquisition Strategies on Early Science from the Transients and Variable Stars Science Collaboration: Non-time-critical Science Cases About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group focuses preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time  (LSST). Learn More Twitter Github Email © Design: HTML5 UP . Twitter Github Email",
    "snippet": "LSST-TVS LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes The TVS Science Collaboration The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Transients and Variable (TVS) Stars ..."
  },
  {
    "title": "Lsst Sci Prep",
    "url": "lsst_sci_prep.html",
    "content": "Preparing for Astrophysics with LSST Program LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Preparing for Astrophysics with LSST Program TVS is delighted to be one of the three Science Collaborations participating in the\n\t\t\t\t\t\t\t\t\t\t\t\tnew Preparing for Astrophysics with LSST Program, kindly supported by the Heising-Simons Foundation . All information relating to this program can be found at the program's dedicated website . Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group focuses preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time  (LSST). Learn More Twitter Github Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "Preparing for Astrophysics with LSST Program LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Preparing for Astrophysics with LSST Program TVS is delighted to be one of the three Science..."
  },
  {
    "title": "Meeting Notes",
    "url": "meeting_notes.html",
    "content": "LSST-TVS LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Meeting Notes You can learn more about the work of TVS members through the notes of our regular general meetings,\n\t\t\t\t\t\t\t\twhich typically take place every two weeks. These notes are publicly available and can be accessed\n                                through the links below. Please note that some notes may be restricted to TVS members only. File Name Link TVS General Telecon Meeting Notes View Document TVS Microlensing Subgroup View Document TVS Software Task Force Meeting Notes View Document TVS Survey Strategy Task Force Meeting Notes View Document Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group focuses preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time  (LSST). Learn More Twitter Github Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "LSST-TVS LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Meeting Notes You can learn more about the work of TVS members through the notes of our regular general meetings,\n\t\t\t\t\t\t\t\twhich ..."
  },
  {
    "title": "Members",
    "url": "members.html",
    "content": "LSST-TVS members LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Our Members June 2020 Our Science Collaboration includes over 520 members as of December 2023, spanning 5 continents. The diagram above shows the organizational structure of TVS. Contact our chairs for more information! Apply to become a member! Co-Chairs Igor Andreoni University of North Carolina at Chapel Hill Sara Bonito INAF, Osservatorio Astronomico di Palermo Members Roster Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group focuses preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time  (LSST). Learn More Twitter Github Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "LSST-TVS members LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Our Members June 2020 Our Science Collaboration includes over 520 members as of December 2023, spanning 5 continents. Th..."
  },
  {
    "title": "Menu",
    "url": "menu.html",
    "content": "Intro Members and Roles Subgroups Task Forces Preparatory Science Program Documents Become a Member Contact Us Events Meeting Notes",
    "snippet": "Intro Members and Roles Subgroups Task Forces Preparatory Science Program Documents Become a Member Contact Us Events Meeting Notes"
  },
  {
    "title": "Rmtree",
    "url": "rmtree.html",
    "content": "",
    "snippet": ""
  },
  {
    "title": "Roadmap",
    "url": "roadmap.html",
    "content": "LSST-TVS members LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In TVS Roadmap to Science Explore the outline of our roadmap below and download the full document DOWNLOAD OUR ROADMAP August 2022 Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group that focuses on preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time (LSST). Learn More Twitter Github Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "LSST-TVS members LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In TVS Roadmap to Science Explore the outline of our roadmap below and download the full document DOWNLOAD OUR ROADMAP Augu..."
  },
  {
    "title": "Search",
    "url": "search.html",
    "content": "Search LSST TVS SC LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Search the site Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group that focuses on preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time (LSST). Learn More Twitter Github Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "Search LSST TVS SC LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Search the site Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legac..."
  },
  {
    "title": "Subgroups",
    "url": "subgroups.html",
    "content": "LSST-TVS Subgroups LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Subgroups June 2020 The original version of this embedded page can be found here . Apply to become a member! Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group that focuses on preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time (LSST). Learn More Twitter Github Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "LSST-TVS Subgroups LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Subgroups June 2020 The original version of this embedded page can be found here . Apply to become a member! Rubin LSS..."
  },
  {
    "title": "Subgroups Sidebar",
    "url": "subgroups_sidebar.html",
    "content": "LSST-TVS members Subgroups JEDI: Justice, Equity, Diversity & Inclusion Coordinators: Sara Bonito , INAF - Osservatorio Astronomico di Palermo Anomalies and True novelties Coordinators: Kostya Malanchev , Carnegie Mellon Siddharth Chaini , University of Delaware Classification & Characterization Coordinator: Nina Hernitschek , Universidad de Antofagasta Data Visualizations and Characterizations Coordinators: Sabina Ustamujic Sally Macfarlane Distance Scales Coordinators: Marcella Marconi, INAF - Osservatorio Astronomico di Capodimonte Lovro Palaversa, Ruđer Bošković Institute Fast Transients Coordinator: Shar Daniels, Unviersity of Delaware Compact Binaries Coordinators: Paula Szkody , UW David Buckley , SAAO Ellipsoidal/Eclipsing Binaries Coordinator: Andrej Prsa , Villanova Microlensing Subgroup Coordinator: Somayeh Khakpash , Rutgers Multiwavelength Characterization and Counterparts Coordinator: Raffaella Margutti , UC Berkeley Non-degenerate Eruptive Variables Coordinator: Sara Bonito , INAF Pulsating Variables Coordinator: Kelly Hambleton , Villanova Supernovae Coordinator: Fabio Ragosta , INAF Tidal Disruption Events Coordinator: Sjoert van Velzen , Leiden Observatory Transiting Planets Coordinator: Suber Corley ,\n\t\t\t\t                                Arizona State University currently inactive subgroups Cosmological Galactic Magnetically Active Stars",
    "snippet": "LSST-TVS members Subgroups JEDI: Justice, Equity, Diversity & Inclusion Coordinators: Sara Bonito , INAF - Osservatorio Astronomico di Palermo Anomalies and True novelties Coordinators: Kostya Malanchev , Carnegie Mellon Siddharth Chaini , University of Delaware Classification & Characterization Coo..."
  },
  {
    "title": "Taskforces",
    "url": "taskForces.html",
    "content": "LSST-TVS task forces LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Task Forces 2021-2022 TVS task forces Survey Strategy Task Force Coordinator: Rachel Street This task force coordinates work by TVS members relating to all aspects of survey strategy, in particular working on papers for the planned special edition publication of Cadence Notes. The group also coordinates with similar task forces from other Science Collaborations with overlapping science interests. Data Preview 0 Task Force Coordinator: Sara Bonito This task force is working on a range of projects undertaken for Data Preview 0, and serves as a forum for members to share their progress and troubleshoot issues. In the course of these projects, members will evaluate the functionality of the Rubin Science Platform for their science. Crowded Fields Photometry Task Force Coordinator: Massimo Dall'Ora This task force will continue the productive collaboration started in previous years. It will continue to evaluate the quality of photometry that can be produced from Rubin data products in crowded star fields, and its application for variable star science. We suggest this task also focuses on writing a comprehensive report of their activities up to now. Commissioning Task Force Coordinator: Markus Rabus This task force will liaise with the Rubin commissioning staff, continuing to provide scientific input on activities and observations that benefit TVS science in the commissioning phase of the project. Software Task Force Coordinator: Alex Razim All of the science that TVS will do during LSST will depend on having access to software tools capable of handling LSST data, the rate at which it is delivered, and interfacing with key services in the Rubin \"ecosystem\" such as alert brokers and the Rubin Science Platform. Rubin’s recent call to solicit international in-kind contributions has resulted in a number of teams committing to providing software development effort to be guided by TVS towards software that will benefit our members. This task force will help to conceive and design software that needs to created from scratch or adapted for Rubin, and begin to work with international teams to oversee the development of that software. 2019-2020 TVS task forces MAF TF Metrics (MAFs) were not generally available with the submitted TVS white papers and without them the cadences cannot be evaluated. This means the requested cadences may actually not be simulated, unless a MAF is provided or easily generated by the project members. This TF should: Learn the MAF Review the TVS White Paper submissions for cadence proposals Design and code MAFs for all TVS submissions Create TVS specific (video) tutorials for MAF Science Platform Evaluation Through \"Stack Club\" involvement TF Members will get involved in the LSST “stack club” and this gain access to the LSST Science Platform. This TF should: Gain familiarity with the LSST Science Platform and share it with the rest of TVS, Understand what TVS users need from the Science Platform and evaluate whether the current design will provide it. Report on Stack Club by a member of the club (possibly also member of TVS) Deep and accurate PSF photometry in crowded fields, and search for variable stars TF This TF will follow the success of the deblending TF that analyzed DECAM very crowded fields with DAOPhot with the aim to refine parameters in the LSST Stack to optimize crowded field photometry for variable stars and stacks. This TF should: Perform a full test of the DECam Bulge dataset (2013A-0721) with Scarlet Publish the results of our tests in a refereed paper Publish any scientific result which could arise from our analysis. Commissioning TF The LSST commissioning is planned to start in a year and LSST Project has solicited the involvement of the SCs. This TF should: Design potential on-sky observations which could be done during the commissioning phase in order to test the feasibility of our science cases within TVS. Define minimum requirements useful for the proposed (respective) science cases. Maybe even design tools/metrics to test feasibility. 2018 TVS task forces Characterize a community-broker interface functionality Spokesperson: Markus Rabus, PUC, Chile Crowded Field Photometry Spokesperson: Kelly Hambleton Deep-drilling fields and mini-surveys proposals planning Spokesperson: Sara Bonito, INAF, Italy Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group focuses preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time  (LSST). Learn More Twitter Github Email © Untitled. Design: HTML5 UP . Images: Unsplash .",
    "snippet": "LSST-TVS task forces LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In Task Forces 2021-2022 TVS task forces Survey Strategy Task Force Coordinator: Rachel Street This task force coordina..."
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    "snippet": "Single - Future Imperfect by HTML5 UP Future Imperfect Lorem Ipsum Feugiat Tempus Adipiscing Search Menu Lorem ipsum Feugiat tempus veroeros dolor Dolor sit amet Sed vitae justo condimentum Feugiat veroeros Phasellus sed ultricies mi congue Etiam sed consequat Porta lectus amet ultricies Log In Magn..."
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    "url": "tvssoftware.html",
    "content": "TVS Software Contributions LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In TVS In-Kind Software Contributions Status as of March 2023. Contributions in bold have been presented at a software workshop. The updated list of TVS software contributions can be found here . # ID Contribution Title Lead Category Primary Collaborator Benefitting Collaborations 1 SER-SAG-S1 Science Pipeline Development for analysis of variability of celestial sources in the LSST AGN and TVS Science Collaboration Dr. Andjelka Kovacevic 4.2 - Directable SW dev LSST AGN Science Collaboration LSST AGN Science Collaboration, LSST Transients and Variable Stars Science Collaboration 2 UKD-UKD-S10 Science Software development: spectroscopic classification of transients and 4MOST spectra Prof Mark Sullivan 4.3 - Non-directable SW dev LSST Dark Energy Science Collaboration LSST Dark Energy Science Collaboration, LSST Transients and Variable Stars Science Collaboration 3 ITA-INA-S12 Directable SW contribution for the SMWLV SC: Machine Learning tools for the characterization of stellar populations Dr. Sara Lucatello 4.2 - Directable SW dev LSST Stars Milky Way and Local Volume Science Collaboration LSST Stars Milky Way and Local Volume Science Collaboration, LSST Transients and Variable Stars Science Collaboration 4 CAN-CAN-S4 Science Pipeline Development in the LSST Transient and Variable Star Science Collaboration Dr. Maria Drout 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration 5 CRO-RBI-S1 Science Analysis Infrastructure Effort Dr. Lovro Palaversa 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration, Rubin International Program Coordinator (Software Development) 6 GER-ARI-S1 Target and Observations Management (TOM) system Development in the LSST TVS Science Collaboration Dr. Yiannis Tsapras 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration 7 HUN-KON-S2 Directable Effort in the General Area of Machine Learning Classification and Associated Infrastructure Software Dr. Róbert Szabó (Konkoly Observatory) 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration 8 IND-IUC-S3 Science Pipeline Development in the LSST Transients and Variable stars Science Collaboration Dr. Sukanta Bose 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration 9 ITA-INA-S3 Directable SW contribution for the TVS SC: Development of a software to classify variable stars Rosaria Bonito 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration 10 ITA-INA-S8 Tools for the simulation of Pulsating Stars Ilaria Musella 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration 11 ITA-INA-S10 Directable SW contribution for the SMWLV and TVS SCs: Software Tools for Dr. Massimo Dall’Ora 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration, LSST Stars Milky Way and Local Volume Science Collaboration, Rubin Crowded Field Coordination Group 12 ITA-INA-S15 Tools for classification, full characterization and validation of variable sources Dr. Gisella Clementini 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration 13 ITA-INA-S26 Non-Directable SW contribution for the TVS SC: A Bridge from Gamma to Optical L.A. Antonelli 4.3 - Non-directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration, LSST Stars Milky Way and Local Volume Science Collaboration 14 MAL-ISS-S1 Science Pipeline Development in the LSST TVS Science Collaboration and support for ISSC Dr. Kristian Zarb-Adami 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration 15 NED-UTR-S4 Multi-Messenger Astronomy Science Pipeline Development in the Dr. S Nissanke 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration, LSST Dark Energy Science Collaboration 16 NED-UTR-S5 Construction and maintenance of AGN catalogs to enable early science with LSST alerts Dr. Sjoert van Velzen 4.3 - Non-directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration, NOIRLab CSDC 17 SLO-UNG-S2 Science Pipeline Development in the LSST TVS Science Collaboration Dr. Andreja Gomboc 4.2 - Directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration 18 UKD-UKD-S9 Science Software development: Cross-matching Prof. Tim Naylor. 4.3 - Non-directable SW dev LSST Transients and Variable Stars Science Collaboration LSST Transients and Variable Stars Science Collaboration, LSST Stars Milky Way and Local Volume Science Collaboration Rubin LSST Transients and Variable Stars Science Collaboration About TVS is a Vera C. Rubin Observatory Legacy Survey of Space and Time Science Collaboration (SC). Our SC is a group focused on preparing to study the transient and variable sky with the revolutionary Legacy Survey of Space and Time (LSST). Learn More Twitter Github Email © Design: HTML5 UP .",
    "snippet": "TVS Software Contributions LSST TVS SC Search Menu Intro Members and roles Subgroups Task Forces Preparatory Science Program Become a member Contact us Documents Events Meeting Notes Log In TVS In-Kind Software Contributions Status as of March 2023. Contributions in bold have been presented at a sof..."
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  {
    "title": "Index",
    "url": "interpython-workshop/index.html",
    "content": "TVS Intermediate Python for Astronomical Software Development Welcome Fast facts Workshop overview The volunteers Future plans Welcome Modern astronomical research is tightly related to data analysis and writing software. \n\t\t\t\t\t\t\tWhile many university curriculums include introductory courses on programming, most astronomers never\n\t\t\t\t\t\t\tget a proper training on tools and best practices that help to develop reliable, reusable and maintainable software. Intermediate Python for Astronomical Software Development (aka InterPython) workshop aims to mitigate\n\t\t\t\t\t\t\tthis problem. The InterPython workshop is being developed by the team of the TVS SC members, using the Carpentries Intermediate Research Software Development workshop materials as a foundation. Our goal is to create a short but comprehensive software development workshop that would be astronomy-specific\n\t\t\t\t\t\t\tand at the same time would teach the core skill set necessary for the professional programming. The materials are intended for mainly self-mastering mode of learning with the instructors' help when needed.\n\t\t\t\t\t\t\tThe workshop can be taught as a \n\t\t\t\t\t\t\twhole or in parts, in an online or offline mode. The workshop is being developed following the Carpentries standards and the materials are available under the Creative Commons Attribution License. Anyone can share and adapt them to their own needs, and we encourage everyone to use these lessons for organizing your own workshops. Fast Facts Dates 1st InterPython workshop: February 05-09, 2024 Git Intro Workshop: June 26, 2024 2nd InterPython workshop: July 01-04, 2024 Demographics 1st InterPython workshop: ~20 registered participants from the TVS SC community from all over the world, ~50% of them are undergraduate and PhD students Funding LSST DA grant $7500 for workshop developers and instructors honorariums Commitment Develop astronomical software workshop materials and organize at least two workshops in 2024-2025. The materials InterPython workshop website Contacts LSSTSC Slack server, email: shr.razim at gmail.com Workshop Overview The 1st InterPython workshop took five 4-hours sessions, one session per day. In the first three days the lessons implied self-mastering the materials\n                                   with a lot of practical exercises. In the last two days the attendees worked in groups of several people, mastering collaborative tools and best practices. The 2nd InterPython workshop has been rearranged to even out the learning load. The Git related materials have been extracted into a separate 1-day mini-workshop, and the collaborative\n\t\t\t\t   exercises are now included in every session instead of being left for the last days. The curriculum included the following topics: Virtual environments; Jupyter Lab IDE Best practices for Jupyter Lab (and Notebooks) Basics of Git and GitHub Python code style conventions Verifying code style with linters Unit testing Continuous integration with GitHub Debugging Software requirements Software architectures Programming paradigms Code review Creating a Python package Collaborative tools of GitHub The workshop developers, instructors and helpers Alex Razim, Ruder Boscovic Institute, Zagreb, Croatia Markus Hundertmark, Astronomisches Rechen-Institut, Heidelberg, Germany Riley Clarke, University of Delaware, USA Angelica Kovacevic, University of Belgrade, Serbia Konstantin Malanchev, Carnegie Mellon University/LINCC, Pittsburgh, USA Rachel Street, Las Cumbres Observatory, USA Jennifer Sobeck, The California Institute of Technology, USA, Federica Bianco, University of Delaware, USA Azalee Bostroem, University of Arizona, USA Sid Chaini, University of Delaware, USA If you are interested in contributing to the development of materials or joining the instructors' team, feel free to contact us! Future plans The next InterPython workshop is going to take place on June 1-4, 2024. Unlike the first workshop, the second one will be open for participation for the whole LSST community. We also plan to additionally improve the materials of the workshop, e.g. add episodes on using project templates and writing software documentation. © TVS SC 2024. All rights reserved. Design: HTML5 UP",
    "snippet": "TVS Intermediate Python for Astronomical Software Development Welcome Fast facts Workshop overview The volunteers Future plans Welcome Modern astronomical research is tightly related to data analysis and writing software. \n\t\t\t\t\t\t\tWhile many university curriculums include introductory courses on prog..."
  },
  {
    "title": "Index-Checkpoint",
    "url": "interpython-workshop/.ipynb_checkpoints/index-checkpoint.html",
    "content": "TVS Mentoring Training Welcome Fast facts Motivation Workshop overview Requirements Apply now Welcome Join the LSST TVS Mentor Training Program. Because mentorship can be so influential in shaping the future STEMM workforce, its occurrence should not be left to chance or idiosyncratic implementation. ( The Science of Effective Mentoring in STEMM ) Learn more Fast Facts TVS is recruiting 3 participants to attend the 2-day workshop at the CIMER center to learn how to lead culturally-responsive, evidence-based mentorship trainings. Participants will co-facilitate three virtual mentorship trainings for TVS and LSST over the following two years, and receive an honorarium. For more information contact the Program Coordinator, Shar Daniels (shard at udel dot edu or on the LSSTC slack). Dates August 14-15, 2024 Location University of Wisconsin-Madison Funding CIMER training: $2500 Travel support: $1900 Honorarium for hosting trainings: $300/training (three remote training sessions are expected) Total support per participant: $5300 Commitment Co-facilitate three virtual mentorship trainings for TVS and LSST over the following two years. Training program info CIMER Center - Facilitating Entering Mentoring for Institutional Teams Application Apply here by April 1st! Motivation Mentoring is a skill that, like all skills, must be learned. Most academic institutions do not have structures in place to train mentors in effective mentorship practices; to cite The Science of Effective Mentoring in STEMM , “Because mentorship can be so influential in shaping the future STEMM [science, technology, engineering, mathematics, and medicine] workforce, its occurrence should not be left to chance or idiosyncratic implementation. There is a gap between what we know about effective mentoring and how it is practiced in higher education”. Well-intentioned scientists may make mistakes that can impact a junior scientist's career trajectory and retention.\n                                                \n                            This can make the task of mentoring become daunting, especially for a conscientious prospective mentor. It is especially difficult when mentoring is unstructured, when mentors do not have access to training, when mentors are not instructed in how to measure the impact of their mentoring or assess the needs of their mentees, and when mentors aren't certain how to structure their mentorship activities so that they are effective but can fit within their other academic responsibilities. What Makes Mentoring Effective? “The success of mentoring relationships lies in the skills and knowledge of the mentors; yet this also requires developing professional–personal relationships” ( The Science of Effective Mentoring in STEMM ). We are proud to offer TVS members the opportunity for professional mentorship training! Thanks to the support of the LSST Disocovery Alliance through a Heising-Simons foundation grant, we will be able to support the costs of training and travel for three TVS members. The participants will then give back to TVS and LSST by running three remote workshop where more mentors can be trained, generating a self-sustaining community of care and knowledge for mentors and mentees. Program information Workshop Overview From the CIMER Center: \"During this two day “train-the-trainer” workshop from August 14-15, 2024, participants are introduced to Entering Mentoring, a mentor training curriculum that addresses the following key topics: maintaining effective communication, aligning expectations, addressing equity and inclusion, articulating your mentoring plan, assessing understanding, fostering independence, and promoting professional development. Participants will learn evidence-based approaches to implementing this mentor training curriculum and gain the knowledge, confidence, and facilitation skills needed to design and implement the training at their institution or organization.\" “Facilitating Entering Mentoring for Institutional Teams” is designed for those institutions or organizations that are ready to invest in a group of individuals (3-5 people) being trained to deliver culturally responsive mentorship education locally. Each team will work collaboratively throughout the workshop to prepare to meet their implementation goals. \" Requirements Participants must be \"faculty, instructors, staff, or administrators, working with mentors whose trainees are undergraduate students, graduate students, postdocs, or junior faculty,\" from the CIMER center. Participants must legally be able to receive money from a US organization that is not their home institution (please check that this is allowed by your visa status and tax status). Participants must arrange their own travel, and will recieve a fixed amount of travel support. Participants must co-host three future virtual mentor trainings for TVS and LSST. Apply Now Questions? Email or slack Shar Daniels, coordinator, shard at udel dot edu. © Shar Daniels 2024. All rights reserved. Design: HTML5 UP",
    "snippet": "TVS Mentoring Training Welcome Fast facts Motivation Workshop overview Requirements Apply now Welcome Join the LSST TVS Mentor Training Program. Because mentorship can be so influential in shaping the future STEMM workforce, its occurrence should not be left to chance or idiosyncratic implementation..."
  },
  {
    "title": "Index",
    "url": "mentor-training-website/index.html",
    "content": "TVS Mentoring Training Welcome Fast facts Motivation Workshop overview Requirements Apply now Welcome Join the LSST TVS Mentor Training Program. Because mentorship can be so influential in shaping the future STEMM workforce, its occurrence should not be left to chance or idiosyncratic implementation. ( The Science of Effective Mentoring in STEMM ) Learn more Fast Facts TVS is recruiting 3 participants to attend the 2-day workshop at the CIMER center to learn how to lead culturally-responsive, evidence-based mentorship trainings. Participants will co-facilitate three virtual mentorship trainings for TVS and LSST over the following two years, and receive an honorarium. For more information contact the Program Coordinator, Shar Daniels (shard at udel dot edu or on the LSSTC slack). Dates August 14-15, 2024 Location University of Wisconsin-Madison Funding CIMER training: $2500 Travel support: $1900 Honorarium for hosting trainings: $300/training (three remote training sessions are expected) Total support per participant: $5300 Commitment Co-facilitate three virtual mentorship trainings for TVS and LSST over the following two years. Training program info CIMER Center - Facilitating Entering Mentoring for Institutional Teams Application Apply here by April 1st! Motivation Mentoring is a skill that, like all skills, must be learned. Most academic institutions do not have structures in place to train mentors in effective mentorship practices; to cite The Science of Effective Mentoring in STEMM , “Because mentorship can be so influential in shaping the future STEMM [science, technology, engineering, mathematics, and medicine] workforce, its occurrence should not be left to chance or idiosyncratic implementation. There is a gap between what we know about effective mentoring and how it is practiced in higher education”. Well-intentioned scientists may make mistakes that can impact a junior scientist's career trajectory and retention.\n                                                \n                            This can make the task of mentoring become daunting, especially for a conscientious prospective mentor. It is especially difficult when mentoring is unstructured, when mentors do not have access to training, when mentors are not instructed in how to measure the impact of their mentoring or assess the needs of their mentees, and when mentors aren't certain how to structure their mentorship activities so that they are effective but can fit within their other academic responsibilities. What Makes Mentoring Effective? “The success of mentoring relationships lies in the skills and knowledge of the mentors; yet this also requires developing professional–personal relationships” ( The Science of Effective Mentoring in STEMM ). We are proud to offer TVS members the opportunity for professional mentorship training! Thanks to the support of the LSST Disocovery Alliance through a Heising-Simons foundation grant, we will be able to support the costs of training and travel for three TVS members. The participants will then give back to TVS and LSST by running three remote workshop where more mentors can be trained, generating a self-sustaining community of care and knowledge for mentors and mentees. Program information Workshop Overview From the CIMER Center: \"During this two day “train-the-trainer” workshop from August 14-15, 2024, participants are introduced to Entering Mentoring, a mentor training curriculum that addresses the following key topics: maintaining effective communication, aligning expectations, addressing equity and inclusion, articulating your mentoring plan, assessing understanding, fostering independence, and promoting professional development. Participants will learn evidence-based approaches to implementing this mentor training curriculum and gain the knowledge, confidence, and facilitation skills needed to design and implement the training at their institution or organization.\" “Facilitating Entering Mentoring for Institutional Teams” is designed for those institutions or organizations that are ready to invest in a group of individuals (3-5 people) being trained to deliver culturally responsive mentorship education locally. Each team will work collaboratively throughout the workshop to prepare to meet their implementation goals. \" Requirements Participants must be \"faculty, instructors, staff, or administrators, working with mentors whose trainees are undergraduate students, graduate students, postdocs, or junior faculty,\" from the CIMER center. Participants must legally be able to receive money from a US organization that is not their home institution (please check that this is allowed by your visa status and tax status). Participants must arrange their own travel, and will recieve a fixed amount of travel support. Participants must co-host three future virtual mentor trainings for TVS and LSST. Apply Now Questions? Email or slack Shar Daniels, coordinator, shard at udel dot edu. © Shar Daniels 2024. All rights reserved. Design: HTML5 UP",
    "snippet": "TVS Mentoring Training Welcome Fast facts Motivation Workshop overview Requirements Apply now Welcome Join the LSST TVS Mentor Training Program. Because mentorship can be so influential in shaping the future STEMM workforce, its occurrence should not be left to chance or idiosyncratic implementation..."
  },
  {
    "title": "Subgroup Anomalies",
    "url": "subgroups/subgroup_anomalies.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap Active Members LSST TVS SC Subgroup: Anomalies and True Novelties Topic: LSST anomalies and true novelties Our understanding of the Universe has progressed through deliberate, targeted studies of known phenomena, like the supernova campaigns that enabled the discovery of the accelerated expansion of the Universe, as much as through serendipitous, unexpected discoveries: Jupiter’s moons and interstellar objects like 1I/'Oumuamua force us to rethink assumptions and create new theories. Deploying new and powerful instruments in physics, we not only enable the pursuit of anticipated science goals but by expanding the observed parameter space we can uncover anomalies that lead to entirely new forms of understanding of our Universe. Anomaly detection requires exquisite technical expertise in data mining and statistical inference. This subgroup is design to advance technical expertise and develop methodology to detect true novelties in the LSST data. Membership Join the TVS Science Collaboration and this subgroup via the main TVS Webpage .\n                        Note that your application should include your science interests and proposed contributions to the current TVS-anomalies activities described below.\n                        All members are expected to read and abide by the TVS Code of Conduct , the TVS Charter , and the TVS Publication Policy .\n                        Those documents describe the priviledges and responsibilities of TVS membership.\n                        Members may sign the Code of Conduct and Charter using this web form .\n                        We look forward to having you join us! Roadmap The TVS Roadmap living document can be found here .",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap Active Members LSST TVS SC Subgroup: Anomalies and True Novelties Topic: LSST anomalies and true novelties Our understanding of the Universe has progressed through deliberate, targeted studies of known..."
  },
  {
    "title": "Subgroup Compactbinaries",
    "url": "subgroups/subgroup_compactbinaries.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap Active Members LSST TVS SC Subgroup: Compact Binaries Topic of Compact Binaries Compact Binaries comprise a wide range of systems. Those with white dwarf primaries and active accretion are termed cataclysmic variables and include novae, dwarf novae and novalikes. The white dwarfs can have low undetectable magnetic fields or high magnetic fields up to 250 MG that can be found through polarization, Zeeman splitting or cyclotron emission. Their orbital periods are generally short (78 min to several hours) and the donors are usually late main-sequence stars or brown dwarfs. If the donor is also a white dwarf, these double degenerate systems are termed AM CVn stars. The systems containing neutron stars or black holes have higher X-ray luminosities by several orders of magnitude and thus are labelled X-ray binaries. Their donors are usually earlier type stars and the orbital periods are longer. The light curves of all of these systems show a large variety of features, including dwarf nova outbursts of 2-9 mags, or high and low states of accretion that can change by several magnitudes. Membership If you are a new member of TVS, you can join the TVS Science Collaboration and this subgroup via the main TVS Webpage .\n                        Note that your application should include your science interests and proposed contributions to the Compact Binaries Subgroup. If you have been a member of Interacting Binaries, you can join this new subgroup by emailing Igor Andreoni or Sara Bonito.\n                        All members are expected to read and abide by the TVS Code of Conduct , the TVS Charter , and the TVS Publication Policy .\n                        Those documents describe the privileges and responsibilities of TVS membership. Members may sign the Code of Conduct and Charter using this web form . We look forward to having you join us! LSST Science LSST data on Compact Binaries will be used in various ways to further understand the stellar makeup of these systems as well as the accretion process. Followup on newly identified transients will determine if they are members of the cataclysmic variable or X-ray binary classes and lead to followup. The long term light curves obtained throughout the 10 year project will provide valuable information on the accretion characteristics of the various subtypes. At the end of the survey time, the large body of new identifications can be compared to population models to determine the evolution of all types of close binaries. Our subgroup aims to form collaborations to accomplish these goals. Roadmap The work anticipated for Compact Binaries is described in the TVS Roadmap living document here . Active Members Subgroup Coordinators: Paula Szkody (UW) and David Buckley (SAAO) Eric Bellm Eric Borowski David Buckley Kevin Burdge Hasan Esenoglu Poshak Gandhi Robert Hynes Knox Long Ilya Mandel Marina Orio Stephen Potter Lilliana Rivera Sandoval Matthias Schreiber Paula Szkody Yue Zhao",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap Active Members LSST TVS SC Subgroup: Compact Binaries Topic of Compact Binaries Compact Binaries comprise a wide range of systems. Those with white dwarf primaries and active accretion are termed catac..."
  },
  {
    "title": "Subgroup Jedi",
    "url": "subgroups/subgroup_jedi.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Active Projects Roadmap References TVS JEDI Justice, Equity, Diversity and Inclusion Group The goal of this subgroup is to make Rubin science accessible to everyone, and to counteract the barriers that too often hold back talented researchers. Membership Subgroup Contact: Rosaria Bonito INAF - Osservatorio Astronomico di Palermo Active Members Federica Bianco University of Delaware Antonio Cucchiara University of the Virgin Islands Rachel Street Las Cumbres University Andjelka Kovacevic University of Belgrade Dragana Ilic University of Belgrade Active Projects Preparing for Astrophysics with LSST Program This program, supported by the Heising-Simons Foundation, aims to help to level the playing field for Rubin researchers by providing Kickstarter grants, support for publication costs, training in software, services and tools relevant to Rubin science and supporting workshops for Science Collaboration members. Full details of this program can be found here . Support for Ukrainian Researchers The crisis in Ukraine has profoundly affected the lives of millions, and we express our deep sympathy to those suffering. We have collated the following resources for anyone displaced by the conflict, and groups providing support, should you wish to contribute. Please note that TVS is unable to verify external organizations and this information is provided on a good-faith basis only. Resources for Displaced Researchers: Science for Ukraine UCL Fellowship Scheme for displaced scientists Volkswagen funding for refugee scholars University of Michigan Scholars at Risk program PAUSE Program Brazilian Program to Welcome Ukrainian Scientists German funding agency Swiss National Science Foundation Scholarships in Sweden for Ukrainian scientists Italian fund to support Ukrainian scientists Polish National Agency for Academic Exchange NAWA Fellowships to support Ukrainian scholars in Poland Statements of Support: Statement by the American Physical Society Appeal by Russian scholars against the war in Ukraine Statement by All European Academies Statement by the Accademia Nazionale Dei Lincei Statement from the International Astronomical Union For more information on this rapidly evolving situation, please see this site. Meeting Notes View the JEDI subgroup meeting notes here. Roadmap Information on the subgroup's roadmap is coming soon. References A list of references is coming soon.",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Active Projects Roadmap References TVS JEDI Justice, Equity, Diversity and Inclusion Group The goal of this subgroup is to make Rubin science accessible to everyone, and to counteract the barriers that too often hold ..."
  },
  {
    "title": "Subgroup Magstars",
    "url": "subgroups/subgroup_magstars.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap References Magnetically Active Stars Subgroup Topic Area The Magnetically Active Stars subgroup studies the photometric variability from stars induced by the presence of surface magnetism. This includes Sun-like stars whose brightness is modulated by the passage of dark active regions (starspots) and bright faculae, as well as RS CVn and T Tauri variables. The overarching goal is to understand the dynamo processes responsible for generating magnetism in these objects. Membership Subgroup Contact: Ricky Egeland High Altitude Observatory Active Members Marcel Agueros (Institute) Patrick Hartigan (Institute) Suzanne Hawley (Institute) Chris Johns-Krull (Institute) Stella Kafka (Institute) Adam Kowalski (Institute) Nicole Silvestri (Institute) Keivan Stassun (Institute) Lucianne Walkowicz (Institute) LSST Science LSST data on magnetically variable stars will help to address the following science questions: What is the dependence between photometric variability and fundamental properties such as mass and rotation? What fraction of Sun-like main-sequence stars are in a quiescent \"Maunder Minimum\" state? What fraction of Solar Analogues have a Sun-like cycle? Do identical stars have identical magnetic variability? Roadmap The roadmap from the Magnetically Active Stars subgroup is presently under discussion. The roadmap will outline the necessary steps to prepare for LSST data in order to address the science questions above. References Radick et al. 2018, ApJ \"Patterns of Variation for the Sun and Sun-like Stars\" Describes results from 25 years of precision photometry for a sample of 72 Sun-like stars. Hawley et al. 2016, arxiv \"Maximizing Science in the Era of LSST, Stars Study Group Report: Rotation and Magnetic Activity in the Galactic Field Population and in Open Star Clusters\" This is the stars chapter of the Kavli workshop report, which resulted from the community-based study of needed US OIR capabilities in the LSST era. Hawley et. al, arxiv \"A Mini-Survey of the Old Open Cluster M67\", Section 10.4 of \"Science-Driven Optimization of the LSST Observing Strategy\" by the LSST Collaboration, August 2017. Motivates an LSST survey of M67, an open cluster whose relative compactness, age, and location above the galactic plane combine to make it the ideal cluster for a closer look. Hilton et al. 2009, arxiv \"Magnetic Activity: Flares and Stellar Cycles\" Section 8.9 of \"LSST Science Book\" Version 2.0, November 2009. Flaring and activity in M-dwarfs (Section 8.9.1); Potential for activity cycles (Section 8.9.2).",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap References Magnetically Active Stars Subgroup Topic Area The Magnetically Active Stars subgroup studies the photometric variability from stars induced by the presence of surface magnetism. This include..."
  },
  {
    "title": "Subgroup Microlensing",
    "url": "subgroups/subgroup_microlensing.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science & Products Roadmap Active Members LSST TVS SC Subgroup: Microlensing Topic: LSST Microlensing LSST will probe to sufficiently faint magnitudes across such a large area of sky that it will be capable of systematically detecting microlensing events across the whole Southern Sky, and alert on events while in progress. It will measure the mass distribution of isolated black holes, as well as planetary, brown dwarf and stellar lenses in a wider range of galactic environments than ever before. It may even detect lensing in our neighboring galaxies, the Magellenic Clouds. Membership Subgroup Chair: Somayeh Khakpash, University of Delaware Our subgroup has 22 members, based in the USA, Germany, France, UK and New Zealand. New members are welcome! If you are an existing member of TVS, please contact the chair via email or LSST Slack to join. Otherwise, you can join the TVS Science Collaboration and indicate microlensing as your primary subgroup via the application form here . All members are expected to read and abide by the TVS Code of Conduct , the TVS Charter , and the TVS Publication Policy . We look forward to having you join us! Science & Products Active Projects Early detection and classification of events from LSST alert data products Developing tools and resources for a coordinated follow-up observing program Verifying microlensing-specific metrics to evaluate LSST survey strategy proposals within the MAF Products Our scientific goals are described in detail in the TVS Roadmap. We also submitted two White Papers in response to the 2018 call for LSST Survey Cadence proposals. The first White Paper outlines a modification to the Wide-Fast-Deep survey strategy that would extend its coverage to include the Galactic Bulge, Plane and Magellenic Clouds. The second White Paper describes how the LSST and WFIRST surveys can be combined and optimize to maximize planetary discoveries in the Galactic Bulge. Microlensing group members are actively developing metrics for the evaluation of survey operations simulations with respect to microlensing science, as well as a number of other open-source software tools for microlensing, including filters for the ANTARES broker , to enable microlensing events to be identified from current survey discoveries. Presentations Search for Intermediate Mass Black Holes Using Gravitational Lensing by Tristan Blaineau of the Laboratoire de l'Accélérateur Linéaire, France, to the Microlensing Group of TVS on 2021 Mar 22. Detecting Microlensing events in the FINK broker by Étienne Bachelet of the Institut d'astrophysique de Paris, Sorbonne Université, France, to the Microlensing Group of TVS on 2022 Sep 12. Meeting Notes Meeting Notes Roadmap Information on the subgroup's roadmap is coming soon. Active Members A list of active members is coming soon.",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science & Products Roadmap Active Members LSST TVS SC Subgroup: Microlensing Topic: LSST Microlensing LSST will probe to sufficiently faint magnitudes across such a large area of sky that it will be capable of systema..."
  },
  {
    "title": "Subgroup Pulsating",
    "url": "subgroups/subgroup_pulsating.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Roadmap Membership Active Members Active Projects Publications LSST TVS SC Subgroup: Pulsating Stars Topic: Rubin LSST Pulsating Stars The Pulsating Star Sub-group is a working group within the Transiting and Variable Star (TVS) Science Collaboration of the Vera C. Rubin Observatory. The purpose of this working group is to: Promote collaborations within the pulsating star community of Rubin LSST; To prepare for the Rubin LSST data in the context of pulsating stars; To advocate for pulsating star science; To fully exploit the Rubin LSST data for the purpose of advancing the understanding of pulsating stars. Currently of interest within the Pulsating Star Sub-group are the following stellar objects: Cepheids, Gamma Doradus Stars, Long Period Variables, Mira variables, RR Lyrae stars, Semi-regular Variables, Slowly Pulsating B Stars, SX Phoenicis, White Dwarf Stars, delta Scuti variables. Roadmap The Pulsating Stars Roadmap can be found here . Membership If you are not already a member of the TVS Science Collaboration, please join via the TVS Webpage . To join the Pulsating Stars Sub-group, specify pulsating stars as your primary or secondary affiliation. If you are already a member of TVS and would like to join the Pulsating Stars Sub-group, please contact Kelly Hambleton (Chair) by email at kelly.hambleton@villanova.edu .\n                            All members are expected to read and abide by the TVS Code of Conduct , the TVS Charter , and the TVS Publication Policy . We look forward to having you join us! Active Members Subgroup Primary Contact: Kelly Hambleton, Villanova University ( kelly.hambleton@villanova.edu ) Keaton Bell Attila Bodi Márcio Catelan Gisella Clementini Massimo Dall'Ora Giulia De Somma Flavia Dell'Agli Marcella Di Criscienzo Giuliana Fiorentino Alessia Garofalo Leo Girardi Shiyuan He Nina Hernitschek Tomislav Jurkic Silvio Leccia Lucas Macri Marcella Marconi Mikako Matsuura Roberto Molinaro Matteo Monelli Ilaria Musella Chow-Choong Ngeow Lovro Palaversa Judith Provencal Vincenzo Ripepi Sumner Starrfield Lukas Steinwender Michael Stroh Esaenwi Sudum Róbert Szabó Tamás Szklenár Paula Szkody Paolo Ventura Active Projects Crowded Fields: This Crowded Field Task Force is actively working to analyze the LSST pipeline, that applies difference imaging analysis to the data, to determine the global detection of individual variable stars and the image-to-image variability detection, in the context of the Alert Brokers. The Task Force is further working to apply forced photometry to LSST-like (DECam) data in preparation for finding pulsating stars in crowded fields using Rubin LSST. White Papers and Publications K. Hambleton, F. Bianco, G. Clementini, M. Dall'Ora, R. Egeland, N. Hernitschek, M. B. Lund, I. Musella, A. Prša and V. Ripepi, Impact of Rubin Observatory LSST Template Acquisition Strategies on Early Science from the Transients and Variable Stars Science Collaboration: Non-time-critical Science Cases, RNASS, 2020, 4, 40. K. Bell , K. Hambleton , M. Lund3 , and R Szabo, A Cadence to Reduce Aliasing in LSST, 2018, arXiv:1812.03142. G. Bono, et al., unVEil the darknesS of The gAlactic buLgE (VESTALE), 2018, arXiv:1812.03124 Clementini, G., et al., The Gaia-LSST Synergy: resolved stellar populations in selected Local Group stellar systems, 2018, arXiv:1812.03298 Olsen, Knut, et al., Mapping the Periphery and Variability of the Magellanic Clouds, 2018, arXiv:1812.03139 Ou, Jia-Yu and Ngeow, Chow-Choong, Difference of Photometric Properties between Regular and Non-Regular Miras in the Magellanic Clouds, 2021, arXiv:2203.00896 Ngeow, Chow-Choong et al., Zwicky Transient Facility and Globular Clusters: The RR Lyrae gri-Band Period-Luminosity-Metallicity and Period-Wesenheit-Metallicity Relations, 2022, arXiv:2203.14475 Hambleton et al., Rubin Observatory LSST Transients and Variable Stars Roadmap, 2022, arXiv:2208.04499",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Roadmap Membership Active Members Active Projects Publications LSST TVS SC Subgroup: Pulsating Stars Topic: Rubin LSST Pulsating Stars The Pulsating Star Sub-group is a working group within the Transiting and Variable Star (TVS)..."
  },
  {
    "title": "Subgroup Supernovae",
    "url": "subgroups/subgroup_supernovae.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap Active Members LSST TVS SC Subgroup: Supernovae Topic: LSST Supernovae The LSST data set will contain millions of supernovae. We're preparing to do science with them. Membership Join the TVS Science Collaboration and this Supernovae subgroup via the main TVS Webpage .\n                        Note that your application should include your science interests and proposed contributions to the current TVS-Supernovae activities described below.\n                        All members are expected to read and abide by the TVS Code of Conduct , the TVS Charter , and the TVS Publication Policy .\n                        Those documents describe the priviledges and responsibilities of TVS membership.\n                        Members may sign the Code of Conduct and Charter using this web form .\n                        The Supernovae subgroup contact and lists of currently active members can be found at the bottom of this page.\n                        We look forward to having you join us! Science: LSST Supernovae In 2019, a poll regarding the science interests and activities of the LSST TVS-SC Supernovae subgroup was done. As expected, the respondents mainly self-identified as observers (with ~20% reporting interest in theory), researching supernova progenitors, explosion mechanisms, and late-stage stellar evolution. As also expected, studies of event rates, host galaxies, and follow-up spectroscopy were the most frequently reported analysis methods for the research goals. A full write-up of the results for the 2019 can be found here . In the 2021 a kickstarter program founded by Las Cumbres Observatory for the activities of the SN subgroup started, so the same poll submitted in 2019 has been repeated in the 2021 to analyse possible changes in the science interests of the group. The results appear in accordance with the poll in 2019 for both the self-identification of the members of the group (with ~20% reporting interest in theory, the majority reports interest in obsevations). As also expected, studies of progenitor system, host galaxies, and follow-up spectroscopy were the most frequently. The slides with the plan for the kickstarter program and the results of the poll can be found here . Supernova Progenitor Systems Which kinds of stars make which kinds of supernovae? How long do stars live, and what happens during the latest stages of evolution before they explode? What are the roles of binary companions for stars that become supernovae? Do characteristics of the local environment or host galaxy affect supernovae? Supernova Explosion Mechanisms How does stellar mass and metallicity affect the nucleosynthetic processes in theromnuclear supernovae? Are supernovae spherically symmetric and, when they're not, why not? Deflagrations, detonations, ingition(s): how does burning proceed? Can external factors such as stellar collisions trigger supernova explosions? Supernovae as Standardizable Candles How can we improve Type Ia peak-brightness standardization? How can core collapse supernovae be improved as standard candles? How can the LSST survey strategy and/or follow-up resources be optimized for improving standardization? (See also the efforts of the Dark Energy Science Collaboration's Supernova Working Group .) Resources to learn more about ... ... LSST and supernova science: (1) LSST: From Science Drivers to Reference Design and Anticipated Data Products , Ivezic et al. (2019) (2) The LSST Science Book, Version 2.0 Chapter 11 (Supernovae) (3) Science-Driven Optimization of the LSST Observing Strategy , Chapters 6.3 (Supernovae as Transients) and 9.5 (Supernova Cosmology and Physics) ... LSST data products and observing strategy: (1) The LSST Data Products Definitions Document Includes alert packet contents, catalog table columns, and image types. (2) This slide deck for a talk on \"The LSST Data Management Systems: Infrastructures for Enabling Multi-Messenger Astrophysics\". (3) Recorded talks for scientists about LSST , including observing strategy, data products, the science platform, photometric pipelines, the alert stream, and commissioning. (4) A Report from the LSST Science Advisory Committee: Recommendations for Operations Simulator Experiments Based on Submitted Cadence Optimization White Papers. (5) The LSST Community Forum has a science topic thread Data Q&A where anyone can ask questions of the LSST Data Management team and recieve a timely, verified answer. Active Projects of the SN Subgroup (1) Photometric classiciation: optimization for SN classification algorithm: the project aims to optimize a Neural Network model to perform the SN photometric classification LSST TVS task force. (2) Alert Brokers: simulation of SN CC alerts for analysis of brokers’ performance: generate ZTF alerts from simulated light curves to test Fink and ALeRCE brokers and compare the results . Old Projects of the SN Subgroup (1) Survey Cadence: proposing and evaluating strategies for the LSST survey with respect to supernova science, e.g., via the deep-drilling fields and mini-survey proposals planning LSST TVS task force. (2) Alert Brokers: preparing to identify targets of interest released via the LSST Alert Stream, e.g., with the LSST TVS task force to characterize the functionality needed from a community broker interface . (3) Light Curve Collections: building and maintaining a collection of observed and model supernova light curves is necessary for our analyses of proposed LSST survey strategies and for developing classification algorithms that will be used in brokers. Check out the GitHub repo LSST-TVSSC/ContributedLCVs and the data set used for the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC) . Roadmap The Roadmap sets a plan for the objectives of the SN group to identify and focus our preparations in the lead-up to LSST operations (e.g., tool development, precursor observations). Active Members Subgroup Contact: Fabio Ragosta, INAF- Astronomical Observatory of Rome ( fabio.ragosta@inaf.it ) Primary Subgroup Members Patrick Aleo Charlotte Angus David Arnett Wynn Jacobson-Galán Sahar Allam Nandita Khetan Umberto Battino Emma Beasor David Bersier Federica Bianco Nadejda Blagorodnova Stéphane Blondin Maria Teresa Botticella Peter J. Brown Yongzhi Cai Stefano Cavuoti Poonam Chandra Ryan Chornock Chris D'Andrea Victor De Los Santos Francisco Forster Buron Willow Fox Fortino Chris Fryer Alex Gagliano Christa Gall Melissa Graham Or Graur Laura Greggio Jens Hjorth Griffin Hosseinzadeh Cosimo Inserra Lucas Izzo Saurabh Jha Masha Lakicevic Xiaolong Li Chris Lintott Ragnhild Lunnan Kate Maguire Konstantin Malanchev Alessio Marino Mikako Matsuura Danny Milisavljevic Maryam Modjaz Anais Möller Matt Nicholl Yen-Chen Pan Andrea Pastorello Daniel Perley Vincenzo Petrecca Tanja Petrushevska Tyler Pritchard Fabio Ragosta Armin Rest Jeonghee Rho Daniel Rothchild Ashley J Ruiter Masao Sako Stephen Smartt Ken Smith Mark Sullivan Giacomo Terreran Jeff Tseng Brad Tucker Stefano Valenti Sam Ward Michael Wood-Vasey David Young Secondary Subgroup Members Iair Arcavi Katie Auchettl Lindsay DeMarchi Syed Uddin Giorgos Leloudas Zoe Ansari Daniel Brethauer Franz Erik Bauer Rahul Biswas Bob Nichol Enzo Brocato Johann Cohen-Tanugi Jeff Cooke Deanne Coppejans Chris Copperwheat Allessandra Corsi Paolo D'Avanzo Mariano Dominguez Maria Drout Adriana Durbala Rob Fender Rose Finn Wen-fai Fong Lluis Galbany Suvi Gezari Giancarlo Ghirlanda Sankalp Gilda James Guillochon Martha Haynes Eliu Huerta Mansi Kasliwal Ming Lian Raffaella Margutti Clara E. Martínez-Vázquez Andrea Melandri Athina Meli Bryan Miller Fred Moolekamp Eric Morganson Kristopher Mortensen Gautham Narayan Peter Nugent Aileen O'Donoghue Silvia Piranomonte James Rhoads Joseph Ribaudo Michael Richmond Ken Shen Nathan Smith Monika Soraisam Sumner Starrfield Robert Stein Michael Stroh Virginia Trimble Sjoert van Velzen Victoria Ashley Villar Jorick Vink Radoslaw Wojtak Alex Kim Alex Malz Andrea Reguitti Anita Bahmanyar Benjamin Rose Chris Lidman Christopher Frohmaier Christopher Stubbs Curtis McCully Dan Scolnic David Jones Emmanuel Gangler Griffin Hosseinzadeh Ivan Baldry Jared Hand Jennifer Lotz Kara Ponder Luca Izzo Lukasz Wyrzykowski Manal Yassine Mark Magee Melissa Graham Mi Dai Michelle Lochner Mickael Rigault Philippe Gris Renée Hložek Ryan Foley Satya Gontcho Sebastian Gomez Steve Kuhlmann Phil Marshall",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap Active Members LSST TVS SC Subgroup: Supernovae Topic: LSST Supernovae The LSST data set will contain millions of supernovae. We're preparing to do science with them. Membership Join the TVS Science Co..."
  },
  {
    "title": "Subgroup Tde",
    "url": "subgroups/subgroup_tde.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap Active Members LSST TVS SC Subgroup: Tidal Disruption Events Topic: LSST TDEs The LSST images will contain thousands of tidal disruption events. Identifying these valuable transients among a much large population of supernovae and variable AGN is the main challenge that we are preparing for in this subgroup. Membership Join the TVS Science Collaboration and this TDE subgroup via the main TVS Webpage .\n                        Note that your application should include your science interests and proposed contributions to the current TVS-TDE activities described below.\n                        All members are expected to read and abide by the TVS Code of Conduct , the TVS Charter , and the TVS Publication Policy .\n                        Those documents describe the priviledges and responsibilities of TVS membership.\n                        Members may sign the Code of Conduct and Charter using this web form . \n                        The TDE subgroup contact and lists of currently active members can be found at the bottom of this page.\n                        We look forward to having you join us! Active Projects of the TDE Subgroup Survey Cadence: Proposing and evaluating strategies for the LSST survey cadence. We are writing a metric that is optimized for photometric discrimination of SNe and TDEs. For this goal, u-band observations are very important. See also the LSST TVS task force. AGN classification: Removal of AGN is key for an efficient TDE search. Currently, optical transient surveys (e.g. ASASSN, ZTF) use catalogs of known AGN, which are mainly based on spectroscopic observations or WISE photometric selection. However, at the typical redshift of LSST TDEs, these catalog are not deep enough. We need to understand how well can we classify AGN based on the static LSST photometry from the co-add images. Roadmap The TVS Roadmap living document can be found here . Active Members Subgroup Contact: Sjoert van Velzen (sjoert at nyu dot edu) Primary Subgroup Members Suvi Gezari Niel Brandt Katja Bricman Geoffrey Clayton Katie Auchettl S. Bradley Cenko Iair Arcavi Sjoert van Velzen Claudio Ricci Anil Seth Secondary Subgroup Members Edo Berger Giancarlo Ghirlanda Andreja Gomboc Eliu Huerta Kate Maguire Ilya Mandel Eric Morganson Marina Orio Chris Pankow Silvia Piranomonte Om Sharan Salafia David Young Ryan Chornock Scott Anderson Antonino Cucchiara David Bersier Todd Boroson Sergio Campana Kelly Hambleton Matt Nicholl Maurizio Paolillo Tanja Petrushevska Wen-fai Fong Raffaella Margutti Asen Christov",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap Active Members LSST TVS SC Subgroup: Tidal Disruption Events Topic: LSST TDEs The LSST images will contain thousands of tidal disruption events. Identifying these valuable transients among a much large..."
  },
  {
    "title": "Subgroup Template",
    "url": "subgroups/subgroup_template.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap References {Subgroup Name Here} Topic Area {Describe the subgroup in a paragraph here.} Membership Subgroup Contact: {Name} {Institute} Active Members {Member 1 Name} {Institute} {Member 2 Name} {Institute} {Member 3 Name} {Institute} {Member 4 Name} {Institute} LSST Science LSST data on {topic area} will help to address the following science questions: {Question 1} {Elaboration 1} {Question 2} {Elaboration 2} {Question 3} {Elaboration 3} Roadmap The work anticipated for this subgroup is described in the TVS Roadmap living document here . References {Author et al. YYYY, Journal} \"{Title}\" {One-line description.}",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap References {Subgroup Name Here} Topic Area {Describe the subgroup in a paragraph here.} Membership Subgroup Contact: {Name} {Institute} Active Members {Member 1 Name} {Institute} {Member 2 Name} {Insti..."
  },
  {
    "title": "Subgroup Transitingplanets",
    "url": "subgroups/subgroup_transitingplanets.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap Active Members LSST TVS SC Subgroup: Transiting Planets Topic: LSST Transiting Planets As the Rubin Observatory reaches its goal of first light in 2025, its primary focus has been observing the enormous objects and phenomena in our nighttime sky. However, billions of stars that host exoplanets will be buried in the petabytes of data that will eventually make up the LSST archive. We only need to find them. During the planning and implementation phases of LSST, another observatory, GAIA, with another major mission, has been mapping the universe using high-resolution astrometry. In something of a natural next step from the GAIA mission, the images and data that the Rubin Observatory will make during LSST can be studied by leveraging the research made through Phase 3 of the GAIA mission. Obviously, GAIA and Rubin are very different instruments, but there are similarities in observation cadences and the breadth and volume of observations that provide a great jumping-off point for Rubin in the search for exoplanets. Membership Join the TVS Science Collaboration and this Transiting Planets subgroup via the main TVS Webpage .\n                            Your application should include your science interests and proposed contributions to the current TVS-Transiting Planets activities described below.\n                            All members are expected to read and abide by the TVS Code of Conduct , the TVS Charter , and the TVS Publication Policy .\n                            Those documents describe the privileges and responsibilities of TVS membership.\n                            Members may sign the Code of Conduct and Charter using this web form .\n                            The Transiting Planets subgroup contact information and lists of currently active members are at the bottom of this page.\n                            We look forward to having you join us! Science Transit Method The transit method has been responsible for many of the exoplanets confirmed to date. The major question for Rubin will be about the conditions being met for the photometry within the observations. Looking at the usual requirements of exoplanet detection using the transit method, that is, cadence and SNR of flux presents a substantial challenge. Radial Velocity Method The radial velocity method requires high-resolution spectroscopy. The cadence can be infrequent, but regular over long observation periods. However, there is no direct access to spectroscopy within Rubin. Thus, the question may be, can Rubin observations be used jointly with radial velocity? Astrometry Method The Rubin/LSST mission is all about astrometry. The cadence is similar to good radial velocity observations, but exoplanet research has a big question. Can Rubin's parallax and proper motion measurements produce enough SNR to resolve candidate exoplanets? Proposed Projects of the Transiting Planets Subgroup Machine learning: understand the tools and techniques used by the GAIA team to train for exoplanet signals. Commingling: during DP0.2 and DR1, develop techniques to leverage and/or inject GAIA (or other) data into the LSST database to supplement currently missing astrometry data. Pipeline: clarify the astrometry data delivered in each operational release. Conversion: re-develop tools tested during DP0.2 and DR1 to perform in the later operational releases. Joint fitting: identify candidates and collect radial velocity data from spectrographic sources to develop low uncertainty ephemeris for candidate exoplanets. Resources ... LSST and Transiting Exoplanet science: Rubin Observatory LSST Transients and Variable Stars Roadmap , Hambleton et al. (2023) LSST Science Collaborations Observing Strategy White Paper: \"Science-driven Optimization of the LSST Observing Strategy\" Marshall et al. (2017) Transiting Planets with LSST. III. Detection Rate per Year of Operation , Jacklin et al. (2017) Understanding exoplanets and other variable sources in sparsely-sampled time domain surveys , Lund (2017) ... LSST data products and observing strategy: The LSST Data Products Definitions Document Slide deck on LSST Data Management Systems Recorded talks for scientists about LSST Report from the LSST Science Advisory Committee The LSST Community Forum Data Q&A Roadmap The Roadmap sets a plan for the objective the Transiting Planets sub-group to identify and focus our preparations in the lead-up to LSST operations (e.g., tool development, precursor observations). Active Members Subgroup Contact: Suber Corley, Arizona State University ( sdcorle1@asu.edu ). Primary Subgroup Members Francesco Borsa Claudio Caceres David Ciardi Suber Corley Tansu Daylan Jay Farihi Yeshanew Fikre Savannah Jacklin John Kielkopf Michael Lund Josh Pepper Markus Rabus Joseph Rodriguez Dimitar Sasselov Avi Shporer Keivan Stassun Secondary Subgroup Members Zoe Ansari Sarah Casewell Lucas Cieza Felice Cusano Victor De Los Santos Rosanne Di Stefano Martin Donachie Eric Feigelson Roberto Jose Figuera Jaimes Scott Fleming Giacomo Fragione Eric Gaidos Aaron Geller Sankalp Gilda Leanne Guy Shiyuan He Danté Hewitt Ezra Huscher Vicky Kalogera Eamonn Kerins Angela Kochoska Lucas Macri Athina Meli Benjamin Montet Fred Moolekamp Susan Mullally Matthew Penny Josh Pepper Peter Plavchan Loredana Prisinzano Viktor Radovic Nicholas Rattenbury Stephen Ridgway Tarun Ruchandani Andrew Siemion Rachel Street Robert Szabo Virginia Trimble Paolo Ventura Lucianne Walkowicz Mark Wells Deborah Woods",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Topic Membership Science Roadmap Active Members LSST TVS SC Subgroup: Transiting Planets Topic: LSST Transiting Planets As the Rubin Observatory reaches its goal of first light in 2025, its primary focus has been observing the enormou..."
  },
  {
    "title": "Broker Task Force Work Plan",
    "url": "taskForces/broker_task_force_work_plan.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Events Become a member Contact us Twitter Github Email Broker Interface Task Force TVS Task Force Characterize the functionality needed from a community-broker interface 2018 Survey Results How fast do you really need alerts? Members Chair: Rachel Street, Las Cumbres Observatory Spokesperson: Markus Rabus, PUC, Chile Francisco Förster Buron, CMM-UChile / MAS Suvi Gezari, University of Maryland Melissa Graham, University of Washington/LSST Ashish Mahabal, Caltech Gautham Narayan, STScI Keivan Stassun, Vanderbilt University Paula Szkody, University of Washington Stephen Smartt, Queen’s University Belfast Ken Smith, Queen’s University Belfast Context The LSST Data Management (DM) software will deliver an alert package for every object in each image which exhibits some photometric or positional change. The scale of the survey leads us to anticipate millions of alerts per night and hence a computational challenge for astronomers to identify targets of specific interest for their science. In this context, we refer to a ‘broker’ as software which receives alert information, associates it with other data, performs classification functions according to numerous algorithms and criteria, and stores the information in a database. While some astronomers are accustomed to responding to alerts and conducting ‘reactive’ follow-up observations in real-time, for many scientists this mode of operation is unfamiliar, making it difficult for them to envision how they will exploit LSST. Meanwhile, substantial development of broker facilities is ongoing, including ANTARES (NOAO), Lasair (LSST:UK), ALeRCE (Chile). To maximize the science return from LSST as a whole, the user interfaces to these brokers need to be carefully designed to address the needs of the community. Task Force (TF) Goals Stimulate scientists from all fields in astronomy to think through how they will extract targets of interest from LSST, what information and data products they will require at each stage, timescales of delivery and modes of interaction with brokers. Derive and document Scientific and Functional & Performance requirements Work Plan and Deliverables Broker Task Force Gantt Chart Deliverables Develop short introductory document to describe and publicize how the ‘broker ecosystem’ is envisioned to work. Develop questionnaire to be circulated to all LSST-SC members designed to stimulate scientists of all fields to think in detail about how they will conduct their science and hence what they will need from a broker. Conduct the survey and collate the results Develop Science Requirements document based on the results of the survey. Timeline March 9, 2018: Deliver completed broker ecosystem document March 9, 2018: Deliver completed survey questionnaire April 20, 2018: Completed summary of survey responses and statistics May 18, 2018: Complete v1.0 of Science Requirements document June 4-8, 2018: Review v1.0 Science Requirements with broker developers, discussion session at TVS workshop July 6, 2018: Complete v2.0 Science Requirements document",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Events Become a member Contact us Twitter Github Email Broker Interface Task Force TVS Task Force Characterize the functionality needed from a community-broker interface 2018 Survey Result..."
  },
  {
    "title": "Cfp Task Force Work Plan",
    "url": "taskForces/cfp_task_force_work_plan.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Events Become a member Contact us Twitter Github Email Crowded Field Photometry Task Force TVS Task Force Work Plan Members Chair: Massimo Dall’Ora Spokesperson, Secretary: Kelly Hambleton Alessia Garofalo Tatiana Muraveva Michele Fabrizio Paola Marrese Silvia Marinoni Davide Magurno Giuliana Fiorentino Giuseppe Bono Context Information on the context of this task force is coming soon. Task Force (TF) Goals To create a test data set for testing crowded fields. We plan to use DECam (Dark Energy Camera) data from the Galactic Bulge. This may have already been done or be currently underway by the Dark Energy team. We plan to contact the Dark Energy team to determine the status of their work and how we can help. To create metrics to determine the success of the pipeline. These will be based on the recovery of: periods, magnitudes, distance scale determinations and the precision on astrometric solutions. To test the current LSST crowded field algorithms on the DECam data set using our metrics. To test current working code using the DECam data set and our metrics. Optimize the best suited code to perform crowded field photometry on LSST data. Work Plan and Deliverables Gantt Chart CFP Task Force Gantt Chart Before we can create a suitable work plan we need to determine the state of the work that is being undertaken by different groups. We plan to hold telecons with the LSST Data Management team and the Dark Energy team to identify where help is needed and what work needs to be done. Our near term goals are to prepare the DECam data set (if this has not already been done), create our own metrics and determine a figure of merit. Timeline / Milestones Deadline TBD: Create a figure of merit for crowded field photometry. Deadline TBD: Identify the optimal available code for our science requirements (primarily pulsating stars) and optimize if necessary.",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Events Become a member Contact us Twitter Github Email Crowded Field Photometry Task Force TVS Task Force Work Plan Members Chair: Massimo Dall’Ora Spokesperson, Secretary: Kelly Hambleton..."
  },
  {
    "title": "Commissioning Task Force",
    "url": "taskForces/commissioning_task_force.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Commissioning Task Force Members Sara (Rosaria) Bonito Masa Lakicevic Claudia M. Raiteri Markus Rabus Maria Isabel Carnerero Martin Massimo Dall'Ora Andreja Gomboc Johann Cohen-Tanugi Asen Christov Christoph Raab Vincenzo Ripepi Marcella Di Criscienzo Task Force (TF) Goals The goals of the task force are to: Liase with Rubin Commissioning staff Provide scientific input on activities and observations that benefit TVS science in the commissioning phase of the project",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Commissioning Task Force Members Sara (Rosaria) Bonito Masa Lakicevic Claudia M. Raiteri Markus Rabus Maria Isabel Carnerer..."
  },
  {
    "title": "Crowded Field Task Force",
    "url": "taskForces/crowded_field_task_force.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Crowded Fields Task Force Deep and Accurate PSF Photometry in Crowded Fields, and Search for Variable Stars Work Plan Members Coordinator: Massimo Dall'Ora Sara Bonito Robert Szabo Patrick Hartigan Ilaria Musella Silvio Leccia Marcella Marconi Contributors Tatiana Muraveva Alessia Garofalo Fred Moolekamp Sara Bonito Giuseppe Bono Gisella Clementini Giuliana Fiorentino Poshak Gandhi Josh Grindlay Michael Johnson Marcella Marconi Marc Moniez Maria Ida Moretti Ilaria Musella Nicholas Rattenbury Abhijit Saha Robert Szabo David Thomas Yiannis Tsapras Context The Original Crowded Field Task Force (upon which this task force was founded) was established to identify, from a users perspective, all the needs and difficulties inherent in the extraction of accurate photometry from point sources in LSST crowded fields. The proposed idea was to create a reference dataset, on which to run well-established codes such as DAOPHOT/ALLFRAME, with the following goals: Create a solid reference catalog; Test custom algorithms to find variable stars; Cross-check the results with those from the LSST code (which was, at that time, under development); Publish possible scientific results. The chosen dataset was the DECam 2013A-0721 (PI: A. Saha), a project focused on the observation of RR Lyrae variable stars in the Galactic bulge, in the ugriz bands. Since the DECam pixel scale and the deepness of the collected images are very similar to those foreseen with LSST, this dataset proved to be ideal for our purposes. We then decided to extend the analysis to the whole field (and eventually add images of the same region collected during other DECam projects), to build a deep and complete photometric database, of both static and variable stars. Important developments that occurred during the analysis phase: Saha et al. (2019) published the first release of their data, focused on the characterization of the RR Lyrae stars. The authors kindly agreed to share their photometric catalogue with us, allowing us to easily calibrate our reduction. The LSST Scarlet deblender was made available to the community. Scarlet adopts a multi-band approach to disentangle embedded sources. The Bulge and Galactic globular cluster present the most ideal benchmark to perform a complete evaluation of its performance on stellar crowded fields. However, since the multi-band (i.e. SED) approach of Scarlet works by adopting a prior of the sources that it is going to measure, a full test of its capabilities is needed, for example, what is the minimum number of bands that can give robust results. Task Force (TF) Goals Given the obtained objectives and experience we have gained, the new Crowded Field Task Force will have the following, updated goals: Perform a full test of the aforementioned dataset with Scarlet; Publish the results of our tests in a refereed paper; Publish any scientific result which could arise from our analysis. Work Plan and Deliverables The proposed deliverables are: Daophot/allframe catalogs on original images, to use as a reference; Scarlet-based photometric catalogs. The photometry will be performed by testing several techniques (aperture photometry, tessellation SExtractor-like, PSF photometry) The proposed metrics are: Photometric accuracy (photometric error as a function of the magnitude) for original and de-blended images; Photometric depth with both original and de-blended images; Minimum combination of photometric bands to get a satisfactory deblending; Optimal combination of photometric bands for the deblending; Variable stars detection and light curves quality with the original and deblended images.",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Crowded Fields Task Force Deep and Accurate PSF Photometry in Crowded Fields, and Search for Variable Stars Work Plan Membe..."
  },
  {
    "title": "Dp0 Task Force",
    "url": "taskForces/dp0_task_force.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Data Preview 0 Task Force Members Coordinator: Sara Bonito Yiannis Tsapras Igor Andreoni Viktor Radovic Masa Lakicevic Dragana Ilic Claudia M. Raiteri Matt Nicholl Markus Rabus Maria Isabel Carnerero Martin Massimo Dall'Ora Andreja Gomboc Johann Cohen-Tanugi Federica Bianco Vincenzo Ripepi Ilaria Musella Silvio Leccia Marcella Di Criscienzo Marcella Marconi Christa Gall Somayeh Khakpash Xiaolong Li Lovro Palaversa Marta Fatovic Andjelka Kovacevic Fabio Ragosta Maria Teresa Botticella Matteo Monelli Decker French Task Force (TF) Goals The goals of the task force are to: Design and conduct a range of projects relevant to TVS Science with the DP0 data Evaluate the utility of the Rubin Science Platform for TVS Science",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Data Preview 0 Task Force Members Coordinator: Sara Bonito Yiannis Tsapras Igor Andreoni Viktor Radovic Masa Lakicevic Drag..."
  },
  {
    "title": "How Fast Do You Need Alerts",
    "url": "taskForces/how_fast_do_you_need_alerts.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Events Become a member Contact us Twitter Github Email How fast do you really need alerts? Whether you need access to LSST alert information within minutes or days, broker developers want to hear from you! Please fill in our very quick community survey. Community Survey",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Events Become a member Contact us Twitter Github Email How fast do you really need alerts? Whether you need access to LSST alert information within minutes or days, broker developers want ..."
  },
  {
    "title": "Interpython Workshop Software Task Force",
    "url": "taskForces/interpython_workshop_software_task_force.html",
    "content": "TVS Intermediate Python for Astronomical Software Development InterPython Workshop Astronomical Software Development Welcome Fast facts Workshop overview The volunteers Future plans Intermediate Python for Astronomical Software Development Modern astronomical research is tightly related to data analysis and writing software. \n\t\t\t\t\tWhile many university curriculums include introductory courses on programming, most astronomers never\n\t\t\t\t\tget a proper training on tools and best practices that help to develop reliable, reusable and maintainable software. Intermediate Python for Astronomical Software Development (aka InterPython) workshop aims to mitigate\n\t\t\t\t\tthis problem. It is being developed by the team of the TVS SC members, using the Carpentries Intermediate Research Software Development workshop materials as a foundation. Our goal is to create a short but comprehensive, astronomy-specific workshop that teaches the core skill set necessary for professional programming. The materials are intended for mainly self-mastering mode of learning with the instructors' help when needed.\n\t\t\t\t\tThe workshop can be taught as a whole or in parts, in an online or offline mode. The workshop is being developed following the Carpentries standards and the materials are available under the Creative Commons Attribution License. Anyone can share and adapt them, and we encourage everyone to use these lessons for organizing your own workshops. Fast Facts Dates 1st Workshop Feb 05-09, 2024 Git Intro June 26, 2024 2nd Workshop July 01-04, 2024 Demographics For the 1st workshop, we had ~20 registered participants from the TVS SC community worldwide, with ~50% being undergraduate and PhD students. Funding LSST DA grant of $7500 for workshop developers and instructors honorariums. Commitment To develop astronomical software workshop materials and organize at least two workshops in 2024-2025. The Materials InterPython Workshop Website Contacts LSSTSC Slack server, or email: shr.razim at gmail.com Workshop Overview The 1st InterPython workshop took five 4-hours sessions. For the first three days, the lessons implied self-mastering the materials with many practical exercises. In the last two days, the attendees worked in groups, mastering collaborative tools and best practices. The 2nd InterPython workshop was rearranged to even out the learning load. The Git-related materials were extracted into a separate 1-day mini-workshop, and collaborative exercises are now included in every session. The curriculum included the following topics: Virtual environments Jupyter Lab IDE Best practices for Jupyter Basics of Git and GitHub Python code style conventions Verifying code style with linters Unit testing Continuous integration Debugging Software requirements Software architectures Programming paradigms Code review Creating a Python package Collaborative tools of GitHub The Workshop Developers, Instructors and Helpers Alex Razim, Ruder Boscovic Institute, Croatia Markus Hundertmark, ARI, Germany Riley Clarke, University of Delaware, USA Angelica Kovacevic, University of Belgrade, Serbia Konstantin Malanchev, CMU/LINCC, USA Rachel Street, Las Cumbres Observatory, USA Jennifer Sobeck, Caltech, USA Federica Bianco, University of Delaware, USA Azalee Bostroem, University of Arizona, USA Sid Chaini, University of Delaware, USA If you are interested in contributing to the development of materials or joining the instructors' team, feel free to contact us! Future Plans We are continuously improving the workshop materials. Future plans include adding episodes on using professional project templates and best practices for writing software documentation. We will continue to offer workshops to the LSST community and beyond. © TVS SC 2025. All rights reserved. Design: HTML5 UP",
    "snippet": "TVS Intermediate Python for Astronomical Software Development InterPython Workshop Astronomical Software Development Welcome Fast facts Workshop overview The volunteers Future plans Intermediate Python for Astronomical Software Development Modern astronomical research is tightly related to data anal..."
  },
  {
    "title": "In Kind Software Task Force",
    "url": "taskForces/in_kind_software_task_force.html",
    "content": "In-kind Contributions Catalogue The TVS Science Collaboration In-Kind Contributions Catalogue Introduction Contributions List Recorded Talks Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email What is the Rubin LSST In-kind Program? 43 teams outside the US and Chile are making in-kind contributions to Rubin Observatory and LSST Science in return for LSST data rights. The International Data Rights Holder list contains all those nominated by international programs for LSST data rights. In addition, there is an extensive compiled list of In-kind Program FAQs , and you can also browse the LSST community forum using the in-kind tag: community.lsst.org/tag/in-kind for In-Kind Program discussions. The In-kind Program spans many varied contributions, providing resources and support to Rubin Operations and the Rubin Science Community. The Rubin LSST Science Collaborations support the CEC and In-kind Program Coordination (IPC) teams in the management of the In-kind contributions with their scientific expertise. The in-kind program is managed collectively by the international programs' Program Managers (PMs), facilitated by the Rubin In-kind Program Coordination Team, which reports to the Rubin Director and Deputy Director of Operations. For a complete list of the In-kind Program contributions and management, please see the program link below. The older list from March 2023 for the In-kind contributions can be found here . Rubin LSST In-kind Program In-kind Contributions Project Directory – 1. Science Software development: spectroscopic classification of transients and 4MOST spectra 2. Software for analysis of variability of celestial sources 3. Machine Learning Classification of Periodic Variable Stars 4. Target and Observations Management (TOM) system Development in the LSST TVS Science Collaboration 5. Software Tools for Stellar Populations in Crowded Fields 6. Tools for the simulation of Pulsating Stars 7. Tools for classification, full characterization and validation of variable sources 8. Cross matching at LSST depths 9. AGN catalogs for transient science 10. Sky Portal for nuclear transients @HPC VEGA 11. Identification of TDEs based solely on LSST photometry Science Software development: spectroscopic classification of transients and 4MOST spectra Contributors: Mark Sullivan (University of Southampton), Chris Frohmaier (University of Southampton) Lead Institution: University of Southampton Country: United Kingdom Project ID: UKD-UKD-S10 Directable: No Duration: 1/10/2020 - 31/3/2027 Recipients: Dark Energy Science Collaboration (DESC)(primary), Transient and Variable Stars (TVS) Science Collaboration Science Cases: Supernova cosmology, Supernova physics, and AGN reverberation mapping Contact:Mark Sullivan m.sullivan@soton.ac.uk Project Description ▼ TiDES (Time Domain Extragalactic Survey) is a survey on the 4-metre Multi-Object Spectrograph Telescope (4MOST), focused on the spectroscopic follow-up of Rubin Observatory LSST extragalactic optical transients. We have 250,000 fibre-hours of spectroscopy time available within the TiDES survey (2% of the total 4MOST fibres). With this, we expect to obtain: Spectroscopic observations of > 30,000 live transients to r AB = 22.5 . Follow up observations of > 200,000 transient host galaxies to obtain redshift measurements for photometric classification and cosmological applications. We expect there to be between 5–10 live (i < 22.5 mag) extragalactic transients per 4MOST field, and we will put a fibre on all of these, effectively giving a magnitude-limited sample. This project focuses on providing non-directable software development effort to ensure the maximal science return from the TiDES dataset for the Rubin Observatory science consortia. This includes using the resulting dataset for supernova cosmology in the DESC (primarily via type Ia supernovae in the Time Domain working group), and understanding supernova physics in the TVS science consortium. The project will thus support developing TiDES into a contributed dataset to DESC and TVS. We will work closely with the DESC Time Domain Working Group to design a selection function for the LSST transient stream to optimise the type Ia SN selection (including host galaxies) for cosmology. We will implement the DESC agreed strategy within the Lasair broker to select supernovae with high-quality LSST light curves (or other measured characteristics). Resources Research Papers Frohmaier et al. (2025) : The 4MOST Time Domain Extragalactic Survey , Accepted by AJ Related Talks An Extraordinary Journey Into the Transient Sky Software for analysis of variability of celestial sources Contributors: Anđelka Kovačević (Inkind Lead, University of Belgrade), Dragana Ilic (Project Manager, University of Belgrade), Sasa Simić (University of Kragujevac, Serbia), Mladen Nikolić (University of Belgrade),  Luka Popović (Project Manager, Astronomical Observatory Belgrade, Serbia) Lead Institution: University of Belgrade-Faculty of Mathematics Country: Serbia Project ID: SER-SAG-S1 Directable: Yes Duration: December 1, 2021 - December 1, 2040 Recipients: Active Galactic Nuclei Science Collaboration, Transient and Variable Stars Science Collaboration Science Cases: Binary Quasar Detection, Quasar Reverberation Mapping, Rare Variability Quasar Discovery Contact:Andjelka Kovacevic, Dragana Ilic andjelka.kovacevic@matf.bg.ac.rs , dragana.ilic@matf.bg.ac.rs Detailed Science Cases Binary Quasar Detection: The project will detect and classify binary quasars through periodicity analysis, with possible extension to star sciences cases. Quasar Reverberation Mapping: It also involves the reconstruction of quasar transfer functions and inference of SMBH physical parameters (e.g., mass, accretion properties, variability timescales), supporting reverberation mapping studies. Rare Variability Discovery: The project also aims on the discovery of quasars with anomalous or rare variability patterns, potentially indicating microlensing, changing-look transitions. Next-Gen Follow-up Targets: The project aims to provide high-confidence targets for follow-up with next-generation observatories such as the ngEHT, LISA, and GRAVITY+, by supplying catalogs of flagged periodic/quasi-periodic sources. Project Description ▼ The integrated development of Quasar Neural Process in Python (QNPy) and Quasar harmonic eXplorer (QhX) delivers a framework for the nonlinear, probabilistic analysis of quasar light curves, addressing the challenges of irregular sampling, noise, and multimodal variability in large time-domain surveys like the Vera C. Rubin LSST. QNPy combines Self-Organizing Maps (SOMs) for clustering with Attentive Latent Neural Processes to reconstruct light curves in a space-context-aware latent representation. In this latent space, Multi-Dimensional Modeling (MDM)  infers supermassive black hole (SMBH)  mass, transfer functions, and characteristic variability time scales. QhX introduces a novel period–period phase space by transforming light curves using wavelets and correlating the resulting time–frequency representations.  QhX introduces a new application of the Intersection over Union (IoU) metric to statistically validate periodic detections across photometric bands, and  both numerical outputs and dynamic visualizations of detected periods, supporting robust classification of multiperiodic signals. A statistical robovetter determines the significance and confidence bounds of detected periods, producing a catalog of reliable periodic quasar candidates. This method enables the detection of complex periodic patterns via a nonlinear correlation density map. The QNPy–QhX framework is modular and interoperable, designed to operate in tandem or be combined with other pipelines and methodologies. This flexibility enables its integration into ensemble workflows for quasar classification, variability characterization, and periodicity detection. The expected outcomes include: Catalogues of binary quasar candidates suitable for follow-up by future observatories. Modeled quasar light curves reconstructed with quantified uncertainties. Inference of transfer functions, SMBH mass, and characteristic time scales of variability from real and simulated quasar light curves. Resources White Papers & Publications Raju et al (2025): A Meta-Learning Framework for Multitask Reverberation Mapping in Active Galactic Nuclei , submitted to A&A. Kovacevic et al (2025): QhX: A Python package for periodicity detection in red noise , submitted to JOSS. White paper - Katelyn Breivik et al. (2022): From Data to Software to Science with the Rubin Observatory LSST Repositories QhX (Quasar harmonics eXplorer) – Periodicity Detection in Red Noise (PyPI) QNPy-Latte (Latent ATTEntive Neural Processes for Quasar Light Curves with parametric recovery) – A QN Analysis Toolkit (PyPI) QNPy (Modeling Quasar time series with Neural processes in Python) – Core QN Toolkit (PyPI) LSST-SER-SAG-S1 – GitHub Repository Related Talks Demo Session Recordings Talks at TVS Software Workshops (YouTube) Rubin Bytes 3: Exploring LSST Software and Tools (YouTube) Machine Learning Classification of Periodic Variable Stars Contributors: Robert Szabo (HUN-REN CSFK, Konkoly Observatory), Tamás Szklenár (HUN-REN CSFK, Konkoly Observatory), Attila Bódi (HUN-REN CSFK, Konkoly Observatory) - left Lead Institution: HUN-REN CSFK, Konkoly Observatory Country: Hungary Project ID: HUN-KON-S2 Directable: Yes Duration: June 1, 2022 - January 1, 2035 Recipients: Transient and Variable Stars Science Collaboration, Stars, Milky Way, and Local Volume (SMWLV) Science Collaboration Science Cases: Variable Stars, RR Lyrae, Cepheids, Young Stellar Objects, Eclipsing Binaries Contact:Robert Szabo szabo.robert@csfk.org Detailed Science Cases Machine-Learning-Based Variable Star Classification: A robust classifier using LSST multicolor photometry and external datasets will assign probabilistic classifications of variable star types. This enables targeted science across the TVS and SMWLV collaborations and forms the foundation for all subsequent science cases. High-Purity RR Lyrae Selection for Blazhko Effect Studies: SMWLV members require a \"pure list\" of RR Lyrae stars classified with > 95% probability and brighter than 22 mag in the g band to investigate the incidence and properties of the Blazhko effect using a clean and statistically reliable sample. RR Lyrae-Based Halo Substructure Mapping: A more inclusive \"full list\" of RR Lyrae stars with > 80% classification probability will allow the identification of faint tidal streams and other substructures in the Galactic halo and beyond, extending the reach of Milky Way mapping efforts. Fundamental-Mode Classical Cepheids for y-Band Period-Luminosity Relation: TVS members will use LSST light curves of classical Cepheids pulsating in the fundamental mode, classified with > 90% probability, to test and refine period-luminosity relations, with a particular focus on the y-band where data is currently lacking. LSST-Based Young Stellar Object Identification: Classification of young stellar objects (YSOs) based on LSST multicolor light curves will help TVS members optimally plan and schedule follow-up observations, targeting variability from accretion processes and circumstellar disks. Eclipsing Binary Characterization for Population Synthesis: A curated list of eclipsing binaries with orbital periods between 1 and 100 days will be used to test population synthesis models, offering insights into binary formation, evolution, and statistical properties across the Milky Way. Discovery and Analysis of Periodic Variable Star Populations: Beyond specific subclasses, the classifier will support the discovery and analysis of periodic variable stars including long-period variables, SX Phoenicis, anomalous Cepheids, and more, enabling a wide range of stellar evolution studies. Project Description ▼ We proposed the development of a machine-learning based classification pipeline to incrementally improve classification of periodic variable sources with LSST multicolor light curves as more and more data are coming in during the 10-yr main survey. Since a monolithic classifier would not be able to meet the output purity requirements we propose an iterative modular system with different modules tuned for classification of specific transients and variable stars. We would take advantage of the fact that some of the modules may already be in development in other LSST Science Collaborations and incorporate these when possible in the proposed pipeline. The pipeline will be primarily based on LSST multicolor lightcurves, but would also take advantage of other LSST data products where possible (e.g. real/bogus brokers) as well as data from other surveys. Resources Research Papers Szklenár et al. (2022): Variable Star Classification with a Multiple-input Neural Network , ApJ, 938(1), 37. Szklenár et al. (2020): Image-based Classification of Variable Stars: First Results from Optical Gravitational Lensing Experiment Data , ApJL, 897(1), L12. Repositories CNN training and weight files Related Talks Multicolor LSST variable star classification with neural networks, and more ... Target and Observations Management (TOM) system Development in the LSST TVS Science Collaboration Contributors: Dr. Markus Hundertmark (Heidelberg University), Dr. Yiannis Tsapras (Heidelberg University) Lead Institution: Heidelberg University Country: Germany Project ID: GER-ARI-S1 Directable: Yes Duration: October 1, 2021 - September 30, 2035 Recipients: Transient and Variable Stars Science Collaboration Science Cases: Microlensing, TVS Science Cases Contact: Dr. Yiannis Tsapras ytsapras@ari.uni-heidelberg.de Detailed Science Cases Web-Based Target and Observing System for TVS: A flexible web-based target and observing system will be developed to serve the needs of various TVS science cases. The project includes the development of two demonstration implementations in collaboration with TVS members and subgroups. The first implementation is already in progress in partnership with the Microlensing TVS subgroup, supporting streamlined target selection and follow-up coordination. Project Description ▼ The product to be developed is a Target and Observing Program Management system web-service that will allow TVS members to manage and track active observing programs. The system will be designed to handle observing request management, alert tracking and data administration. Resources Related Talks Update on the microlensing OPM Software Tools for Stellar Populations in Crowded Fields Contributors: M. Dall'Ora (INAF-OACN), G. Bono (Univ. Tor Vergata Rome), M. Di Criscienzo (INAF-OAR), G. Fiorentino (INAF-OAR), I. Musella (INAF-OACN), M. Gholami (INAF-OACN), J. Carvajal (INAF-OACN) Lead Institution: Italian National Institute for Astrophysics (INAF) Country: Italy Project ID: ITA-INAF-S10 Directable: Yes Duration: October 1, 2024 - September 30, 2028 Recipients: Transient and Variable Stars Science Collaboration, Stars, Milky Way, and Local Volume Science Collaboration Science Cases: 3D Age, metallicity and reddening mapping of the Galactic Bulge with RR Lyrae stars, Galactic Bulge pulsating variables census Contact:Massimo Dall'Ora massimo.dallora@inaf.it Project Description ▼ We propose to work within the Crowded Fields Working Group, and in agreement with the SMWLV and TVS Science Collaborations, in the framework of Directable Software, to implement a series of tools focused on obtaining accurate photometry in crowded fields. As a proposed example, we mention our experience in the P.B. Stetson’s ALLFRAME code, which simultaneously fits a master star list on a set of images, cross-correlating fluxes (in different passbands) and positions. This approach allows for enhanced accuracy of the photometry, especially at the faint end of the brightness range. We are available to test this approach and other approaches developed to deal with the LSST data, according to the directable nature of our proposed contribution. In general, we are keen to contribute with specific FTEs and our experience on this matter. INAF plans to provide directable software effort, using INAF-secured funding, at the level of 0.8 FTE per year for 4 years, starting in FY25. This effort will initially come from a senior postdoc (to be hired) who has software engineering skills and a stellar photometry background, supported by our experienced scientists at a lower (but still dedicated) effort level. Deliverable products include: (i) software development for PSF-based reduction of crowded fields. The software will be made available to the Community, starting from its development phase, and fully documented and maintained; (ii) photometric catalogs, produced by the aforementioned software. They will be immediately delivered to the Community, before further analysis takes place, in order to avoid any perceived advantage in the subsequent scientific analysis. Software development will take place in collaboration and agreement with the interested Science Collaborations. On-demand PSF photometry reduction of selected areas is under evaluation. Tools for the simulation of Pulsating Stars Contributors: Ilaria Musella (INAF-Astronomical Observatory of Capodimonte (Naples)), Marcella Marconi (INAF-Astronomical Observatory of Capodimonte (Naples)), Massimiliano Gatto (INAF-Astronomical Observatory of Capodimonte (Naples)) Lead Institution: Italian National Institute for Astrophysics (INAF) Astronomical Observatory of Capodimonte (Naples) Country: Italy Project ID: ITA-INA-S8 Directable: Yes Duration: June 1, 2025 - May 31, 2027 Recipients: Transient and Variable Stars Science Collaboration, Stars, Milky Way, and Local Volume Science Collaboration Science Cases: Pulsating star evolution modeling, Synthetic light curves for classification, Variable stars as distance indicators, Light curve fitting for stellar parameters, Pulsators as population tracers Contact:Ilaria Musella ilaria.musella@inaf.it Detailed Science Cases Theoretical Framework for Pulsating Stars: To develop an extensive and detailed theoretical scenario for pulsating stars in different evolutionary phases and for a wide range of physical and chemical properties, representatives of observed variable stars in different Galactic and extragalactic environments and their application to observational data. LSST Pulsating Star Simulations: The simulation of LSST pulsating stars of various classes will be useful for classification and characterization purposes, including training machine learning classification systems. Variable Stars as Population Tracers: To use variable stars as population tracers and distance indicators. Light Curve Fitting for Stellar Parameters: To use the light curve fitting method based on theoretical pulsating models to derive the stellar intrinsic parameters (M, L, Te) of the observed variables and on their distance and reddening. Astrophysical Constraints from Pulsating Stars: To get constraints on the to get constraints on the calibration of the extragalactic distance scale based on Classical Cepheids, through the comparison between theoretical prediction and observations. Project Description ▼ We propose the development of an infrastructure based on extended model sets along with software tools to interpolate among grids of theoretical templates (e.g., light and radial velocity curves, periods, mean magnitudes, colors, etc.) for pulsating variables. The fundamental aims are: To train the developed tools and infrastructure on the extended and detailed model grids for several classes of pulsating stars built by our team. To extend the same tools and infrastructure to theoretical LSST pulsating star templates developed by other teams and under the supervision of the TVS Scientific Collaboration. The implementation will be based on the following components: Web page access to import and export different empirical and/or theoretical light curve databases for different classes of intrinsic variable stars. Interactive software tools to interpolate within the databases and derive the properties of light curves and the associated stellar parameters. Interactive software tools to simulate LSST variable stars starting from empirical or theoretical light curve templates. Resources Research Papers Marconi et al. (2024): The Hertzsprung progression of classical Cepheids in the Gaia era , MNRAS, 529(4), 4210. De Somma et al. (2024): Classical Cepheid pulsation properties in the Rubin-LSST filters , MNRAS, 528(4), 6637. Marconi et al. (2022): New Theoretical Period-Luminosity-Metallicity Relations for RR Lyrae in the Rubin-LSST Filters , ApJ, 934(1), 29. Ragosta et al. (2019): The VMC survey - XXXV. Model fitting of LMC Cepheid light curves , MNRAS, 490(4), 4975. Tools for classification, full characterization and validation of variable sources Contributors: Gisella Clementini, Vincenzo Ripepi, Lorenzo Monti, Tatiana Muraveva, Alessia Garofalo, Massimiliano Gatto Lead Institution: Italian National Institute for Astrophysics (INAF) Country: Italy Project ID: ITA-INA-S15 Directable: Yes Duration: October 1, 2024 - September 30, 2026 Recipients: Transient and Variable Stars Science Collaboration Science Cases: Variable Stars, Cepheids, RR Lyrae stars Contact: Gisella Clementini gisella.clementini@inaf.it Detailed Science Cases Tools for Identification and Validation of LSST Variable Sources: By exploiting catalogues of variable sources and pipelines that we have developed as team charged with the specific processing of RR Lyrae stars and Cepheids observed by Gaia, we will contribute an architecture and specific tools for the identification, classification and validation of variable sources observed by the LSST. Project Description ▼ Catalogues of variable sources of different types will be used to: Intercalibrate the LSST and Gaia datasets using both variable and constant stars within the reach of Gaia and not yet saturated in the LSST. Build training sets for the classification of variable sources observed by LSST. Optimally translate into the LSST passbands the different diagnostic tools developed as part of Coordination Unit 7 (variability) in the Gaia Data Processing and Analysis Consortium (DPAC). Develop and fine-tune various Machine Learning and Deep Learning models for the processing and characterization of RR Lyrae stars and Cepheids. Cross matching at LSST depths Contributors: Tom J. Wilson (Exeter), Tim Naylor (Exeter), UK DAC Team (Edinburgh). Lead Institution: University of Exeter Country: United Kingdom Project ID: UKD-UKD-S9 Directable: No Duration: December 2, 2019 - November 26, 2025 Recipients: Transient and Variable Stars Science Collaboration, Stars, Milky Way, and Local Volume Science Collaboration Science Cases: LSST counterparts in other surveys Contact: Tim Naylor t.naylor@exeter.ac.uk Project Description ▼ LSST catalogues will be so crowded (even far from the Galactic Plane) that standard algorithms for cross-matching with other surveys will fail. Hence, we will provide (through the UK DAC) a service using state-of-the-art cross-matching algorithms that account for the effects of crowding and partially mitigate them. We will offer matches with a wide range of surveys such as VISTA, VPHAS, WISE, and Spitzer, and we will make the software publicly available. Each match will include a probability reflecting the following: The separation of the counterparts and their associated uncertainties in position. The effects of crowding on the accuracy of the catalogue positions. The density of field stars. Optionally, the magnitude of the potential counterpart in comparison to field stars and other counterpart pairs. We will also provide estimates of the effects of crowding on the photometry. Resources Research Papers Wilson, Tom J. (2023): Overcoming separation between counterparts due to unknown proper motions in catalogue cross-matching , RASTI, 2, 1. Wilson, Tom J. (2022): A Parameterized Model for Differential Galaxy Counts at Any Wavelength , RNAAS, 6, 60. Wilson, Tom J., Naylor, Tim. (2018a): A contaminant-free catalogue of Gaia DR2-WISE Galactic plane matches: including the effects of crowding in the cross-matching of photometric catalogues , MNRAS, 481, 2148. Wilson, Tom J., Naylor, Tim. (2018b): Improving catalogue matching by supplementing astrometry with additional photometric information , MNRAS, 473, 5570. Wilson, Tom J.,Naylor, Tim. (2017): The effect of unresolved contaminant stars on the cross-matching of photometric catalogues , MNRAS, 468, 2517. Repositories Matching Across Catalogues using the Astrometric Uncertainty Function and Flux (macauff) - Github Repository AGN catalogs for transient science Contributors: Jannis Necker (Leiden Observatory), Sjoert van Velzen (Leiden Observatory) Lead Institution: Leiden Observatory Country: Netherlands Project ID: NED-UTR-S5 Directable: No Duration: September 1, 2025 - September 1, 2028 Recipients: Transient and Variable Stars Science Collaboration Science Cases: TDEs, SNe, CL AGN and other AGN flares, other extragalactic transients Contact: Dr. Sjoert van Velzen sjoert@strw.leidenuniv.nl Project Description ▼ This contribution has two parts: We will make a catalog of known Active Galactic Nuclei in the Rubin footprint. We will help to identify Active Galactic Nuclei in the Rubin forced photometry data. Sky Portal for Nuclear Transients @ HPC VEGA Contributors: Andrej Filipčič (University of Nova Gorica), Andreja Gomboc (University of Nova Gorica) Lead Institution: University of Nova Gorica Country: Slovenia Project ID: SLO-UNG-S1 Directable: Yes Duration: June 1, 2025 - June 1, 2035 Recipients: Transient and Variable Stars (TVS) Science Collaboration Science Cases: Nuclear Transients: study of all types of nuclear transients including TDEs, AGN, SNe, yet unknown types. Contact: Andrej Filipčič andrej.filipcic@ijs.si Project Description ▼ SkyPortal for nuclear transients @ HPC VEGA is a Lite IDAC which will serve the community by gathering information on all LSST detected nuclear transients in one place. It will offer information on classification results from different brokers, follow-up observations, spectroscopic classification, communication between users etc., i.e., full functionality of a Sky Portal ( https://skyportal.io/ ). Resources Research Papers Michael W. Coughlin et al. (2023): A Data Science Platform to Enable Time-domain Astronomy , ApJS 267 31. Repositories HPC VEGA Portal Identification of TDEs Based Solely on LSST Photometry Contributors: Andreja Gomboc (University of Nova Gorica), Saptashwa Bhattacharyya (University of Nova Gorica), Eduardo Concepcion Castro (University of Nova Gorica) Lead Institution: University of Nova Gorica Country: Slovenia Project ID: SLO-UNG-S2 Directable: Yes Duration: January 7, 2023 - June 1, 2026 Recipients: Transient and Variable Stars Science Collaboration Science Cases: Early and reliable classification of TDEs based on photometry to enable rapid follow-up, MBH mass distribution studies, and exploration of intermediate-mass black holes. Contact: Andreja Gomboc andreja.gomboc@ung.si Project Description ▼ TDEs are ~ 100-1000-times rarer than SNe, have similar rise/decay times and light curves, however are bluer. Currently around 100 TDEs are known. LSST is expected to detect ~10 TDEs/night. Early identification of TDE candidates is crucial to enable fast photometric and spectroscopic follow-up. In particular, catching the light curve peak and covering it well by follow-up observations enables a more accurate determination of MBH mass and type of the disrupted object. The aim of the project is to develop and maintain a TDE filter on the Lasair broker.\n\t\t\t\t\t\t\t\t\t\t\tThe main aim of the filter is pre-peak reliable classification based on: Position in the galactic nucleus Light curve properties (i.e., rise time, LSST colours in 6 bands) The filter is intentionally agnostic of the galaxy type in order to remain unbiased.\n\t\t\t\t\t\t\t\t\t\t\t\tAt a later time, we will consider relaxing the position condition to also catch non-central TDEs. Resources Research Papers Bučar Bricman, K. et al. (2023): Rubin Observatory's Survey Strategy Performance for Tidal Disruption Events , ApJS 268 13. Bricman, Katja., Gomboc, Andreja. (2020): The Prospects of Observing Tidal Disruption Events with the Large Synoptic Survey Telescope , ApJ 890 73. Related Talks Tidal Disruptions of Stars with Rubin Observatory - Andreja Gomboc Workshop Resources Access recordings from our previous workshops and training sessions. YouTube Playlists for Previous Workshops Intermediate Python HPC Workshop View Full Playlist TVS Software Workshop 4 Watch on YouTube TVS Software Workshop 3 View Full Playlist TVS Software Carpentry Workshop 2 View Full Playlist TVS Software Workshop 2 View Full Playlist TVS Software Workshop 1 View Full Playlist Intermediate Python Development Course View Full Playlist The TVS Science Collaboration The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Transients and Variable (TVS) Stars Collaboration focuses on the study of the transient and variable sky through the LSST data, including a large and diverse range of phenomena: variable events, periodic or not, explosive and eruptive transients, and geometric transients (e.g. eclipsing binaries and planets). Variability is a tell tale of the nature of the objects observed, but it also enables galactic studies (the mapping of the galactic structure), extragalactic studies (the characterization of the intracluster medium), and cosmological studies. Because of their physical and phenomenological diversity, the object we study span a wide range of timescales and present themselves in a range of brightnesses and colors. We work to understand and maximize the potential of LSST in the exploration of the variable and transient sky, one of the 4 science drivers of LSST. LSST also holds great potential for discovery of new transient phenomena, especially at the very short and very long time scales. TVS Science Collaboration Website Development Team This website is developed by Meet J. Vyas with the suggestions for the template design by Siddharth Chaini, and the content was reviewed by Oleksandra (Alex) Razim. This website is maintained by the Software Task Force of the Transient and Variable Stars Science Collaboration of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST).",
    "snippet": "In-kind Contributions Catalogue The TVS Science Collaboration In-Kind Contributions Catalogue Introduction Contributions List Recorded Talks Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Gith..."
  },
  {
    "title": "Lsp Task Force Work Plan",
    "url": "taskForces/lsp_task_force_work_plan.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email LSST Science Platform Evaluation TVS Task Force Work Plan Members Chair, Spokesperson: Sara Bonito Rachel Street, LCO Raffaella Margutti, Northwestern University Kelly Hambleton, Villanova University Melissa Graham, University of Washington/LSST Maryam Modjaz, New York University Somayeh Khakpash, Lehigh University Claudia M. Raiteri, INAF - Osservatorio Astrofisico di Torino Filippo D'Ammando, Istituto Nazionale di Astrofisica (INAF) Barbara Balmaverde, INAF - Osservatorio Astrofisico di Torino / SNS-Scuola Normale Maria Isabel Carnerero Martin, INAF - Osservatorio Astrofisico di Torino Massimo Dall'Ora, INAF - Osservatorio Astronomico di Capodimonte Ilaria Musella, INAF - Osservatorio Astronomico di Capodimonte Maria Ida Moretti, INAF - Osservatorio Astronomico di Capodimonte Nicholas Rattenbury, University of Auckland Massimo Brescia Context The LSST Science Platform (LSP) is envisioned as an online portal by which most users will access LSST data products, aside from the alert brokers, since the size and scale of those products is likely to prohibit users downloading large subsets for analysis at their local institutes. The LSP platform consists of three aspects, fully described in LDM-542 : The Portal aspect, designed to enable browsing and interactive visualization of data products The Notebook aspect, which provides a JupyterLab notebook environment for users to run software-based investigations The API aspect, which enables users to query the LSP remotely and programmatically All of these aspects are accessed through the user's browser window, so no software needs to be installed on the user's machine. LSST Project are currently using the LSP for commissioning activities, but relatively few researchers currently have access for scientific use, owing to personnel limitations in supporting users and transitioning the LSP for external use. The Project expect to make the platform accessible to the community later in 2020-2021. Task Force (TF) Goals Nevertheless, it is advantageous for science users to evaluate the LSP as soon as possible. The goals of this Task Force are, therefore: Gain familiarity with the LSP, and share this knowledge with the rest of TVS Understand what TVS users will need from the LSP and evaluate whether the current design will provide it Report on the Stack Club Work Plan and Deliverables Review the LSP design documents available Develop a detailed questionnaire designed to identify the software and data products needed by TVS science, and circulate it. Review all sections of the TVS Roadmap to identify the implied software requirements for the analysis outlined. Update the TVS Roadmap to reflect any software and/or data products that need to be developed to perform the scientific analyses. Report TVS' users requirements for the LSP to the LSST Development team.",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email LSST Science Platform Evaluation TVS Task Force Work Plan Members Chair, Spokesperson: Sara Bonito Rachel Street, LCO Raffa..."
  },
  {
    "title": "Maf Task Force Work Plan",
    "url": "taskForces/maf_task_force_work_plan.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Metrics Analysis Framework Task Force TVS Task Force Work Plan Members Chair, Spokesperson: Federica Bianco Ashley Villar, Harvard University Derex Fox Katja Bricman Maria Teresa Botticella Martin Donachie Ming Lian, University of Delaware Sjoert van Velzen Stephen Ridgway Xiaolong Li, University of Delaware Context Metrics (MAFs) were not generally available with the submitted TVS white papers and without them the cadences cannot be evaluated. This means the requested cadences may actually not be simulated, unless a MAF is provided or easily generated by the project members. Task Force (TF) Goals The goals of MAF task force are to: Learn the MAF Review the TVS White Paper submissions for cadence proposals Design and code MAFs for all TVS submissions Create TVS specific (video) tutorials for MAF Work Plan and Deliverables Gantt Chart MAF Task Force Gantt Chart Deliverables Review the TVS White Paper Design and code metrics for all submissions Run metrics on Opsim Timeline Jun 14, 2019: Learn the MAF Jul 1, 2019: Assign papers to members Jul 15, 2019: Understand the metrics Dec 1, 2019: Finish all Metrics Jan 1, 2020: Run on Opsim March 1, 2020: Summarizing Opsim results",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Metrics Analysis Framework Task Force TVS Task Force Work Plan Members Chair, Spokesperson: Federica Bianco Ashley Villar, ..."
  },
  {
    "title": "Ms Ddf Task Force Work Plan",
    "url": "taskForces/MS_DDF_task_force_work_plan.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Events Become a member Contact us Twitter Github Email Deep-drilling fields and Mini-survey proposals planning TVS Task Force Work Plan Members Chair, Spokesperson: S. Bonito B. Balmaverde F. Bianco M.T. Botticella M. Carnerero G. Clementini F. Cusano M. Dall'Ora F. D'Ammando M. Donachie M. Drout R. Egeland G. Fiorentino A. Garofalo M. Graham K. Hambleton R. Margutti I. Moretti T. Muraveva I. Musella M. Rabus C. Raiteri C. Righi R. Street M. Sullivan R. Szabo J. Pepper A. Prsa Context The Transients and Variable Stars Science collaboration consist of various subgroups with different scientific goals. In order to combine efforts between the different subgroups, a task force has been created. The task force aims at identifying priorities and science cases to be included in the fall 2018 call for Minisurvey & Deep-drilling field LSST proposals. Task Force (TF) Goals Collaborate between different subgroups in TVS. Create mini-survey and deep-drilling field proposals. Work Plan and Deliverables Timeline April 2018: Propose an agenda for the June TVS meeting. June 2018: Initial drafts of mini-survey and deep-drilling field proposals as output from the Jun. 2018 TVS meeting. Fall 2018: Final versions of Mini-survey and deep-drilling field proposals. Initial Proposal Drafts Young stars Microlensing and Milky Way RR Lyrae stars and Cepheids RR Lyrae stars in the inner bulge Supernovae demography and rates Gaia-LSST Synergy and Pulsation Theory Variability and census of Blazers",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Events Become a member Contact us Twitter Github Email Deep-drilling fields and Mini-survey proposals planning TVS Task Force Work Plan Members Chair, Spokesperson: S. Bonito B. Balmaverde..."
  },
  {
    "title": "Software Task Force",
    "url": "taskForces/software_task_force.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Software Task Force Members Coordinator: Olexandra (Alex) Razim Federica Bianco Meet J. Vyas Yiannis Tsapras Michael William Coughlin Viktor Radovic Dragana Ilic Claudia M. Raiteri Andjelka Kovacevic Nina Hernitschek Keivan Stassun Robert Szabo Markus Hundertmark Maria Isabel Carnerero Martin Massimo Dall'Ora Andreja Gomboc Tomislav Jurkic Johann Cohen-Tanugi Luca Izzo Sergey Karpov Asen Christov Matteo Monelli Christoph Raab Ilaria Musella Rachel Street Silvio Leccia Giulia De Somma Marcella Di Criscienzo Marcella Marconi Lovro Palaversa Task Force (TF) Goals The goals of the task force are to: Suggest software to be developed in support of TVS science, and outlining a mechanism for members to propose software for development Review currently available software Review the TVS Science Roadmap to identify needed software packages Define and document software for development and the package requirements Select software to be developed as directable software development by international contributors Design a mechanism to validate software performance Lower the barrier to entry for use of the software by TVS members Resources & Workshops The Software Task Force has conducted several workshops to support the community. This includes a series of four Intermediate Python (Interpython) workshops and a one-day offline workshop at LSST@Europe 7. In-kind software contributions have also stemmed from the efforts of the Software Task Force through the separate 4 Software Workshops. In-Kind Software Contributions Intermediate Python Workshops Meeting Notes Documents",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Software Task Force Members Coordinator: Olexandra (Alex) Razim Federica Bianco Meet J. Vyas Yiannis Tsapras Michael Willia..."
  },
  {
    "title": "Survey Strategy Task Force",
    "url": "taskForces/survey_strategy_task_force.html",
    "content": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Survey Strategy Task Force Members Coordinator: Rachel Street Rosanne Di Stefano Claudia M. Raiteri Igor Andreoni Andjelka Kovacevic Michael William Coughlin Robert Szabo Ilaria Musella Sara (Rosaria) Bonito Silvio Leccia Dragana Ilic Giulia De Somma Marcella Marconi Maria Isabel Carnerero Martin Task Force (TF) Goals The goals of the task force are to: Assist members to complete survey strategy research in a timely manner Coordinate the publication of survey strategy papers Ensure members receive credit for their work Coordinate with survey strategy research conducted by other SCs Present TVS survey strategy research at the 2021 Rubin Project and Community Workshop Current Work Having hosted an interesting discussion on survey strategy during Rubin's annual Project and Community Workshop in August, the Task Force is now focusing on a review of the community-contributed survey strategy metrics in order to recommend to the SCOC a set of metrics that should be run for each science area. Advice from the TVS science subgroups will be sought. Resources Meeting Notes Cadence Note Synthesis Document - SMWLV + TVS Summary spreadsheet of community-contributed metrics Jointly produced by the survey strategy task forces from TVS and SMWLV. Please note this is a copy of the spreadsheet rather than the direct link - please contact Rachel to update.",
    "snippet": "LSST-TVS Transients and Variable Stars LSST Science Collaboration Intro Subgroups Members and roles Task Forces Documents Events Become a member Contact us Twitter Github Email Survey Strategy Task Force Members Coordinator: Rachel Street Rosanne Di Stefano Claudia M. Raiteri Igor Andreoni Andjelka ..."
  },
  {
    "title": "Affiliations",
    "url": "TVSaffiliations/affiliations.html",
    "content": "LSST TVS Collaboration Chord Diagram This is a chord diagram showing the structure of the LSST Transients and Variable Stars Collaboration - TVS and the affiliation to LSST TVS subgroups. Each pair linked by a chord represents two subgroup affiliations that are shared by a number of members proportional to the width of the chord. Roll over each wedge to see more information about each subgroup pair and on the arc to know more about the subgroup.\n            The code is on github , text is parsed and gathered in python and the graphics are created in d3 , leveraging heavily off this demo blogpost by Steve Hall .",
    "snippet": "LSST TVS Collaboration Chord Diagram This is a chord diagram showing the structure of the LSST Transients and Variable Stars Collaboration - TVS and the affiliation to LSST TVS subgroups. Each pair linked by a chord represents two subgroup affiliations that are shared by a number of members proporti..."
  },
  {
    "title": "Affiliations.Save",
    "url": "TVSaffiliations/affiliations.save.html",
    "content": "This is a chord diagram showing the member subgroup affiliations within LSST TVS. Each chord represents the affiliation strength between two subgroups based on the number of common members.\n\nHover over any wedge to see more information about the corresponding subgroup pair, and on the arc to know more about the subgroup. \n\nThe code is on github , text is parsed in gathered and python and  the graphics is created in d3 , leveraging heavily off this demo blogpost by Steve Hall",
    "snippet": "This is a chord diagram showing the member subgroup affiliations within LSST TVS. Each chord represents the affiliation strength between two subgroups based on the number of common members.\n\nHover over any wedge to see more information about the corresponding subgroup pair, and on the arc to know mo..."
  },
  {
    "title": "Ne 110M Admin 0 Countries Lakes.Readme",
    "url": "TVSaffiliations/ne_110m_admin_0_countries_lakes.README.html",
    "content": "Natural Earth  » Blog Archive   » Admin 0 – Countries - Free vector and raster map data at 1:10m, 1:50m, and 1:110m scales Free vector and raster map data at 1:10m, 1:50m, and 1:110m scales Search for: Home Features Downloads Blog Issues Corrections About Admin 0 – Countries There are 258 countries in the world. Greenland as separate from Denmark. Most users will want this file instead of sovereign states, though some users will want map units instead when needing to distinguish overseas regions of France. Natural Earth shows de facto boundaries by default according to who controls the territory, versus de jure . Download countries (210.08 KB) version 5.1.1 Download without boundary lakes (212.3 KB) version 5.1.1 About Countries distinguish between metropolitan (homeland) and independent and semi-independent portions of sovereign states. If you want to see the dependent overseas regions broken out (like in ISO codes, see France for example), use map units instead. Each country is coded with a world region that roughly follows the United Nations setup . Includes some thematic data from the United Nations, U.S. Central Intelligence Agency, and elsewhere. Disclaimer Natural Earth Vector draws boundaries of countries according to defacto status. We show who actually controls the situation on the ground. Please feel free to mashup our disputed areas (link) theme to match your particular political outlook. Known Problems None. Version History 5.1.1 5.1.0 5.0.1 5.0.0 4.1.0 4.0.0 2.0.0 1.4.0 1.3.0 1.1.0 The master changelog is available on Github » This entry was posted\n\t\t\t\t\t\t\t\t\t\t\t\ton Monday, September 21st, 2009 at 10:21 am\t\t\t\t\t\tand is filed under 110m-cultural-vectors .\n\t\t\t\t\t\tYou can follow any responses to this entry through the RSS 2.0 feed.\n\n\t\t\t\t\t\t\t\t\t\t\t\t\tBoth comments and pings are currently closed. Comments (3) Trackbacks Getting rasters into shape from R | John Baumgartner's blog says: July 26, 2012 at 11:32 pm […] earlier. It’s the result of a conversion of a polygon shapefile of country boundaries (from Natural Earth, a fantastic, public domain, physical/cultural spatial data source) to a raster data […] jQUERY e Mappe: jVectorMap | SimPoli says: February 28, 2013 at 5:42 am […] Le mappe sono scaricate da https://www.naturalearthdata.com […] SimPoli » jQUERY e Mappe: jVectorMap says: March 13, 2013 at 2:52 am […] Le mappe sono scaricate da https://www.naturalearthdata.com […] Subscribe: Entries | Comments Search Search for: Links NACIS Tags 10m 50m 90 180 admin-0 bjorn bounding box browser change log corrections countries Downloads error extent ext js forums geoext hans imagery import mapnik maptiler map tiles marine boundary national parks new data nsd openlayers physical labels pngng populated places raster terrestrial hypsography tfw thematic mapping themese tif tilecache tiles time zones towns transportation update visitors world file Recent Comments Aligning Natural Earth Geojson and Raster to render in D3 – BBSCODE on 1:50m Shaded Relief QGIS a Mapping Tool – April Dahn on 1:50m Shaded Relief More Mapping with QGIS – History 502 on 1:50m Shaded Relief buy ivermectin 12 mg tablets on Download URLs – double slash Building A Beautiful And Clear Map From Massive, Complex Data – Slacker News on 1:10m Shaded Relief Recent Forum Topics Natural Earth in Wagner VII by Hugo Ahlenius Downloads are 404ing by Nathaniel Disputed Territories: \"type\" field by alykat ISO code confusion by nth Bad ADM1NAME, encoding in version 3.0.0 and missing diacritics in NAME by pfunes U.S. County Shape File by gzingsheim Projection / Proportion / Compatibility? by Liquidized Download URLs – double slash by vastur map soft – writer: me by krzysztof Unicode encoding issue – ne_10m_lakes.dbf by filter.1 Supported by: © 2009 - 2022. Natural Earth. All rights reserved. Powered by WordPress Staff Login »",
    "snippet": "Natural Earth  » Blog Archive   » Admin 0 – Countries - Free vector and raster map data at 1:10m, 1:50m, and 1:110m scales Free vector and raster map data at 1:10m, 1:50m, and 1:110m scales Search for: Home Features Downloads Blog Issues Corrections About Admin 0 – Countries There are 258 countries ..."
  },
  {
    "title": "Tvs",
    "url": "TVSaffiliations/tvs.html",
    "content": "",
    "snippet": ""
  }
]