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Add IRIS-HEP Fellow project: Differentiable Modeling of Systematic Uncertainties #154

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30 changes: 30 additions & 0 deletions projects/2025-atlas-object-corrections.yml
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title: Differentiable Modeling of Systematic Uncertainties in ATLAS Object Corrections
categories:
- Analysis tools
- ML/AI
durations:
- 3 months
experiments:
- ATLAS
skillset:
- Python
- ML
- Statistical Analysis
status:
- In progress
project:
- IRIS-HEP
program:
- IRIS-HEP fellow
location:
- Remote
commitment:
- Part time
mentors:
- Gordon Watts (University of Washington)
mentees:
- name: Cody Tanner
link: /fellows/knottedtree123.html
description: >
This project aims to build a differentiable neural network model to replicate ATLAS object corrections and their systematic uncertainties for small-R jets. The model will enable integration of corrections within gradient-based analysis pipelines, improving computational efficiency and accuracy.
link: /fellows/knottedtree123.html