1. Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era
- Author
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Eve Kovacs, Yao-Yuan Mao, Michel Aguena, Anita Bahmanyar, Adam Broussard, James Butler, Duncan Campbell, Chihway Chang, Shenming Fu, Katrin Heitmann, Danila Korytov, François Lanusse, Patricia Larsen, Rachel Mandelbaum, Christopher B. Morrison, Constantin Payerne, Marina Ricci, Eli Rykoff, F. Javier Sánchez, Ignacio Sevilla-Noarbe, Melanie Simet, Chun-Hao To, Vinu Vikraman, Rongpu Zhou, Camille Avestruz, Christophe Benoist, Andrew J. Benson, Lindsey Bleem, Aleksandra Ćiprianović, Céline Combet, Eric Gawiser, Shiyuan He, Remy Joseph, Jeffrey A. Newman, Judit Prat, Samuel Schmidt, Anže Slosar, Joe Zuntz, and The LSST Dark Energy Science Collaboration
- Subjects
Astronomy ,QB1-991 ,Astrophysics ,QB460-466 - Abstract
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.
- Published
- 2022
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