Modern Astrophysics is based on multi-wavelength data organized into large and heterogeneous catalogs. Hence, the need for efficient, reliable and scalable catalog cross-matching methods plays a crucial role in the era of the petabyte scale. Furthermore, multi-band data have often very different angular resolution, requiring the highest generality of cross-matching features, mainly in terms of region shape and resolution. In this work we present C-3 (Command-line Catalog Cross-match), a multi-platform application designed to efficiently cross-match massive catalogs. It is based on a multi-core parallel processing paradigm and conceived to be executed as a stand-alone command-line process or integrated within any generic data reduction/analysis pipeline, providing the maximum flexibility to the end-user, in terms of portability, parameter configuration, catalog formats, angular resolution, region shapes, coordinate units and cross-matching types. Using real data, extracted from public surveys, we discuss the cross-matching capabilities and computing time efficiency also through a direct comparison with some publicly available tools, chosen among the most used within the community, and representative of different interface paradigms. We verified that the C-3 tool has excellent capabilities to perform an efficient and reliable cross-matching between large data sets. Although the elliptical cross-match and the parametric handling of angular orientation and offset are known concepts in the astrophysical context, their availability in the presented command-line tool makes C-3 competitive in the context of public astronomical tools.

C3, A command-line catalog cross-match tool for large astrophysical catalogs / Riccio, G.; Brescia, M.; Cavuoti, S.; Mercurio, A.; di Giorgio, A. M.; Molinari, S.. - In: PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC. - ISSN 0004-6280. - 129:972(2017). [10.1088/1538-3873/129/972/024005]

C3, A command-line catalog cross-match tool for large astrophysical catalogs

Brescia, M.;
2017

Abstract

Modern Astrophysics is based on multi-wavelength data organized into large and heterogeneous catalogs. Hence, the need for efficient, reliable and scalable catalog cross-matching methods plays a crucial role in the era of the petabyte scale. Furthermore, multi-band data have often very different angular resolution, requiring the highest generality of cross-matching features, mainly in terms of region shape and resolution. In this work we present C-3 (Command-line Catalog Cross-match), a multi-platform application designed to efficiently cross-match massive catalogs. It is based on a multi-core parallel processing paradigm and conceived to be executed as a stand-alone command-line process or integrated within any generic data reduction/analysis pipeline, providing the maximum flexibility to the end-user, in terms of portability, parameter configuration, catalog formats, angular resolution, region shapes, coordinate units and cross-matching types. Using real data, extracted from public surveys, we discuss the cross-matching capabilities and computing time efficiency also through a direct comparison with some publicly available tools, chosen among the most used within the community, and representative of different interface paradigms. We verified that the C-3 tool has excellent capabilities to perform an efficient and reliable cross-matching between large data sets. Although the elliptical cross-match and the parametric handling of angular orientation and offset are known concepts in the astrophysical context, their availability in the presented command-line tool makes C-3 competitive in the context of public astronomical tools.
2017
C3, A command-line catalog cross-match tool for large astrophysical catalogs / Riccio, G.; Brescia, M.; Cavuoti, S.; Mercurio, A.; di Giorgio, A. M.; Molinari, S.. - In: PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC. - ISSN 0004-6280. - 129:972(2017). [10.1088/1538-3873/129/972/024005]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/677681
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