DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs

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 a...

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Detalles Bibliográficos
Autores principales: Cora, Sofía Alejandra, Vega Martínez, Cristian Antonio, The LSST Dark Energy Science Collaboration
Formato: Articulo
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Astronómicas
Large-scale structure of universe
Numerical analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/93586
https://ri.conicet.gov.ar/handle/11336/82726
https://iopscience.iop.org/article/10.3847/1538-4365/aaa6c3
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-93586
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Astronómicas
Large-scale structure of universe
Numerical analysis
spellingShingle Ciencias Astronómicas
Large-scale structure of universe
Numerical analysis
Cora, Sofía Alejandra
Vega Martínez, Cristian Antonio
The LSST Dark Energy Science Collaboration
DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
topic_facet Ciencias Astronómicas
Large-scale structure of universe
Numerical analysis
description 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.
format Articulo
Articulo
author Cora, Sofía Alejandra
Vega Martínez, Cristian Antonio
The LSST Dark Energy Science Collaboration
author_facet Cora, Sofía Alejandra
Vega Martínez, Cristian Antonio
The LSST Dark Energy Science Collaboration
author_sort Cora, Sofía Alejandra
title DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
title_short DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
title_full DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
title_fullStr DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
title_full_unstemmed DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
title_sort descqa: an automated validation framework for synthetic sky catalogs
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/93586
https://ri.conicet.gov.ar/handle/11336/82726
https://iopscience.iop.org/article/10.3847/1538-4365/aaa6c3
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AT vegamartinezcristianantonio descqaanautomatedvalidationframeworkforsyntheticskycatalogs
AT thelsstdarkenergysciencecollaboration descqaanautomatedvalidationframeworkforsyntheticskycatalogs
bdutipo_str Repositorios
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