Authors
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.Details
| Publication | The Astrophysical Journal Supplement Series, Volume 234, Issue 2, article id. 36, |
| Publication Date | February 2018 |
| DOI | |
| arXiv | arXiv:1709.09665 |
| Bibcode | 2018ApJS..234...36M |
| Collection | |
| Keywords | |
| UAT Keywords (generated)BETA | |
| Bibgroups | |
| E-Print Comment(s) | 16+4 pages, 9 figures, 2+1 tables. Published in the ApJ Supplement. Code repository at https://github.com/LSSTDESC/descqa; ApJS (2018), 234, 36; doi:10.3847/1538-4365/aaa6c3 |