DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs

Yao Yuan Mao, Eve Kovacs, Katrin Heitmann, Thomas D. Uram, Andrew J. Benson, Duncan Campbell, Sofía A. Cora, Joseph Derose, Tiziana Di Matteo, Salman Habib, Andrew P. Hearin, J. Bryce Kalmbach, K. Simon Krughoff, François Lanusse, Zarija Lukić, Rachel Mandelbaum, Jeffrey A. Newman, Nelson Padilla, Enrique Paillas, Adrian PopePaul Milton Ricker, Andrés N. Ruiz, Ananth Tenneti, Cristian A. Vega-Martínez, Risa H. Wechsler, Rongpu Zhou, Ying Zu

Research output: Contribution to journalArticlepeer-review

Abstract

The use of high-quality simulated sky catalogs is essential for the success of cosmological surveys. The catalogs have diverse applications, such as investigating signatures of fundamental physics in cosmological observables, understanding the effect of systematic uncertainties on measured signals and testing mitigation strategies for reducing these uncertainties, aiding analysis pipeline development and testing, and survey strategy optimization. The list of applications is growing with improvements in the quality of the catalogs and the details that they can provide. Given the importance of simulated catalogs, it is critical to provide rigorous validation protocols that enable both catalog providers and users to assess the quality of the catalogs in a straightforward and comprehensive way. For this purpose, we have developed the DESCQA framework for the Large Synoptic Survey Telescope Dark Energy Science Collaboration as well as for the broader community. The goal of DESCQA is to enable the inspection, validation, and comparison of an inhomogeneous set of synthetic catalogs via the provision of a common interface within an automated framework. In this paper, we present the design concept and first implementation of DESCQA. In order to establish and demonstrate its full functionality we use a set of interim catalogs and validation tests. We highlight several important aspects, both technical and scientific, that require thoughtful consideration when designing a validation framework, including validation metrics and how these metrics impose requirements on the synthetic sky catalogs.

Original languageEnglish (US)
Article number36
Number of pages36
JournalAstrophysical Journal, Supplement Series
Volume234
Issue number2
DOIs
StatePublished - Feb 8 2018

Keywords

  • large-scale structure of universe
  • methods: numerical

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

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