Rung 1 Dataset for Roman Strong Lens Data Challenge
Authors/Creators
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1.
Washington University in St. Louis
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2.
Stony Brook University
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3.
University of San Francisco
Description
Data Challenge Overview
The Roman Space Telescope is expected to observe O(10^5) galaxy-galaxy strong gravitational lenses, providing high angular resolution images of galaxy-galaxy strong gravitational lenses that can be used to probe the nature of dark matter at sub-galactic scales (Daylan and Birrer 2023, Wedig et al. 2025). The Roman Data Challenge for Dark Matter Substructure with Galaxy-Galaxy Strong Gravitational Lenses provides realistic simulated Roman images of strong lenses with various dark matter substructure populations and challenges the community to test out substructure detection and characterization pipelines.
Dataset Description
The goal of this rung is to distinguish between mass distributions with Cold Dark Matter subhalos and no subhalos. In this rung, you will train a binary classifier to determine whether subhalos are present.
Changelog
- v1.0: Initial version
Files
view_rung_1_dataset.ipynb
Additional details
Related works
- Describes
- Publication: 10.3847/1538-4357/adc24f (DOI)
Funding
- National Aeronautics and Space Administration
- Preparing for a leap: Precursor Strong Lensing Science with Roman Towards Precision Cosmology 80NSSC24K0095
Software
- Repository URL
- https://github.com/astroMusers/mejiro
- Programming language
- Python