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DESC DC2 Data Release Note
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abstract
In preparation for cosmological analyses of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), the LSST Dark Energy Science Collaboration (LSST DESC) has created a 300 deg$^2$ simulated survey as part of an effort called Data Challenge 2 (DC2). The DC2 simulated sky survey, in six optical bands with observations following a reference LSST observing cadence, was processed with the LSST Science Pipelines (19.0.0). In this Note, we describe the public data release of the resulting object catalogs for the coadded images of five years of simulated observations along with associated truth catalogs. We include a brief description of the major features of the available data sets. To enable convenient access to the data products, we have developed a web portal connected to Globus data services. We describe how to access the data and provide example Jupyter Notebooks in Python to aid first interactions with the data. We welcome feedback and questions about the data release via a GitHub repository.
Forward citations
Cited by 4 Pith papers
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LTDE releases a public benchmark of 108 simulated LSST-like observations of lensed quasars and defines metrics to score how accurately photometry methods recover the true light curves.
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Predictions for the Detectability of Milky Way Satellite Galaxies and Outer-Halo Star Clusters with the Vera C. Rubin Observatory
A matched-filter search on simulated LSST data predicts Rubin will detect 89 +/- 20 Milky Way satellite galaxies, about 53 of them previously unknown.
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Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics
Selfish Evolution detects and corrects corrupted labels by training a secondary network on the temporal evolution of a primary network overfitting to individual samples.
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