Unlabeled Rung 0 Dataset for Roman Strong Lens Data Challenge

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 serve as a tutorial for participants. You will familiarize yourself with the systematics of the challenge (e.g. where and how to submit, how to set up mejiro and obtain/generate datasets, where to find relevant documentation) and for us as the organizers to make sure that the data challenge runs smoothly. In this rung, you will train a regression model to determine the Einstein radius of lenses.

This is the unlabeled dataset. It does not include the Einstein radius and a few other related parameters that were included in the labeled dataset. Rung 0 submissions will be scored for this dataset.

Changelog

v2.0: Uses romanisim instead of GalSim

Units of pixels are now DN/s (Roman L2) instead of counts

Effective exposure time is slightly shorter (610 instead of 642 seconds)

Images are 73x73 pixels (8.03") instead of 91x91 pixels (10.01")

v1.2: Correction of typo in dataset metadata. Units of pixels are counts, not counts/sec

v1.1: Correction of minor typos in Jupyter notebook

v1.0: Initial version