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Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era

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arxiv 2110.03769 v2 pith:O2BGDZD4 submitted 2021-10-07 astro-ph.CO

classification astro-ph.CO
keywords validationsciencecatalogcatalogsdarkenergygalaxylsst
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Large simulation efforts are required to provide synthetic galaxy catalogs for ongoing and upcoming cosmology surveys. These extragalactic catalogs are being used for many diverse purposes covering a wide range of scientific topics. In order to be useful, they must offer realistically complex information about the galaxies they contain. Hence, it is critical to implement a rigorous validation procedure that ensures that the simulated galaxy properties faithfully capture observations and delivers an assessment of the level of realism attained by the catalog. We present here a suite of validation tests that have been developed by the Rubin Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC). We discuss how the inclusion of each test is driven by the scientific targets for static ground-based dark energy science and by the availability of suitable validation data. The validation criteria that are used to assess the performance of a catalog are flexible and depend on the science goals. We illustrate the utility of this suite by showing examples for the validation of cosmoDC2, the extragalactic catalog recently released for the LSST DESC second Data Challenge.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 17 citations worldwide. Full citation record

  1. Galaxy Clustering with LSST: Effects of Number Count Bias from Blending

    astro-ph.CO 2024-11 conditional novelty 6.0 of 10

    Blending in LSST-like image simulations biases galaxy redshift distributions and suppresses small-scale clustering beyond 3 sigma, yet leaves inferred Omega_m and galaxy bias on fiducial linear scales statistically unchanged.

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