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#############################################
# The structure of the name of our trained AI
# [timestamp]_trained_by_[keywords]
#############################################
#20180501
# get new data
# how to get coords for WSM from catalog-SWIRE-v3.tbl
awk '$17~/star/ && $17!~/dust/ { print $1" "$3 }' catalog-SWIRE-v3.tbl > coord_of_star_list
awk '$17~/Galc/ && $17!~/dust/ { print $1" "$3 }' catalog-SWIRE-v3.tbl > coord_of_gala_list
#############################################
# UKIDSS is a set of five surveys. The areas and 5-sigma depths are as follows:
# What are labels of regions in UKIDSS
# name | name of areas | area(sq. degs) | magnitude depths(band K) |
# ELAIS N1 | Deep Extragalactic Survey (DXS) | 35 | 21.0 | extraGalactic
# OPH | Galactic Clusters Survey (GPS) | 1400 | 18.7 | Galactic
#
#############################################
#20180607
#
# * means almost all sources are found in that survey
# % means part of sources are found in that survey
# x means no data found in that survey
#
# region |RA |DEC | GPS | GCS | LAS | DES
# |hhmmss |ddmmss |
#-------------------------------------------------------------
# ELAIS N1 |161100 |550000 | | | | *
# OPH | | | x | * | |
# SER | | | * | | |
# PER | | | % | % | |
# CHA_II | | | x | x | x |
# LUP_I | | | x | x | x |
# LUP_III | | | x | x | x |
# LUP_IV | | | x | x | x |
#
# How to identify categories of surveyes?
#
# GPS | GCS | LAS
# J | Z | Y <== The char on the top right in the txt window mode.
#
# COMPARISON BETWEEN WFCAM AND 2MASS PHOTOMETRIC SYSTEMS
# subscript "w" means WFCAM, an instrument in UKIRT
# subscript "2" means 2MASS
#
# Z_w = J_2 + 0.950(J_2 - H_2)
# Y_w = J_2 + 0.500(J_2 - H_2) + 0.080
# J_w = J_2 - 0.065(J_2 - H_2)
# H_w = H_2 + 0.070(J_2 - H_2) - 0.030
# K_w = K_2 + 0.010(J_2 - K_2)
#
###############################################
# 20180724
# The keywords of statistial property of data set
# update 20181003
#
# allOBS : Imply the dataset of data with all observations.(old name: noloss)
# noX : band X won't be count into numbers of observations or the number of no observations, and infos on band X will be mask.
# maskX : infos on band X will be mask.
# MaxLossX : Tolerate upto X data points are loss within a source.
# slct : select with some filters.
# EC : Extinction correction is applied on this dataset.
# 910 : An example for division, 9 for training, 1 for validating, and 0 for testing.
# CNN : Train with CNN
###############################################
# The name style of dataset
#
# {0}_test_on_{1}
# {0} : The property of AI training set
# {1} : The property of test set
###############################################
# 20180807
# Does Rv = 5.5 make sense in CHA, LUP, OPH, SER, and PER ?
# Please read Chapman, Lai, ... 2009
#
# How to define the curvature of different Rv ?
# Please read https://www.astro.princeton.edu/~draine/dust/dustmix.html
#
###############################################
# 20180911
#
# NICER reference:
# Mapping the interstellar dust with near-infrared observations: An optimized multi-band technique
# Lombardi et al. (2001)
#
###############################################
# 20181003
# The region of YSOs in Evans YSOs list
# Name start end
# CHA_II 1 26
# LUP 27 120
# PER 121 505
# SER 506 732
# OPH 733 1024
#
###############################################
# The name of this machine
# Spectral Classifier of Astronomical Objects (SCAO)
#
# Kate suggests
# Taxonomy of Astrophysics Point source in the InfRared (TAPIR)
#
###############################################
# I want to add a function for reading options from a file instead of arguments.
#
###############################################
# 20190621
# After our submission is rejected, we plan to add:
# 1. More clear definition of source type.
# 2. Science result of our classification.
# 3. More convincing result.
#
# We might show the correlation of YSO on the Pearson’s correlation coefficient
#
###############################################
# 20190715
# Upper limit criteria for each band
# In SCAO, c2d+SWIRE, all-observe, exul_4_7, dataset.
# band flux error
# J 0.00149784692033 0.00249798704832
# H 0.00227441747763 0.00314834524531
# K 0.00225503537577 0.00538726232513
# IR1 0.000373 0.00896
# IR2 0.000315 0.00789
# IR3 0.000107 0.0188
# IR4 0.000216 0.0178
# MP1 0.000898 0.0238
###############################################
# 20190719
# stellarity index -9 indicate saturation in SWIRE XMM-LSS region survey
#
# IRSA table titles
# \catalog = 'Sample Catalog'
# \ A sample table comment
# | ra | dec |
# | double | double |
# | deg | deg |
# | null | null |
# 165.466279 -34.704730
###############################################
# 20190729
# The photometry method we used in UKIDSS is AperMag3,
# which make a aperture with 2 arcsec radius on each source.
#
###############################################
# 20190813
# A null value in GCQE table could indicate:
# Null values for fluxes and their un- certainties are denoted by “-99.00”.
# A null flux value does not necessarily mean a source has a flux below the
# SWIRE sensitivity limit in this band. There are three reasons a null
# value may exist:
# (1) non-detection to the limits of source extraction
# (2) failure of the detected source to meet the CSNR threshold criterion
# (3) lack of coverage in this band.
#
# The third criterion should not apply to null IRAC flux values since we
# have attempted to limit the IRAC-24μm-Optical Catalog to the full IRAC
# coverage area, but we do not guarantee this to be the case.
#
# Caution!!!!!!!!!!!!!!!!
# Don't use the GLIMPSE survey later than GLIMPSE 3D since they are belonged
# the Spitzer Warm Mission, which operated without band 3 and 4.
#
# Usefull: GLIMPSE I, GLIMPSE II, GLIMPSE 3D
# Useless: GLIMPSE 360, Deep GLIMPSE, GLIMPSE Proper, APOGLIMPSE, SMOG, and Cygnus-X
###############################################
# We need JHK detections since we need all 3 bands to do 2MASS-UKIDSS convertion.
# 20210816
# Test github PAT