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C3: A Command-line Catalogue Cross-matching tool for modern astrophysical survey data

Published online by Cambridge University Press:  30 May 2017

Giuseppe Riccio ,
Massimo Brescia ,
Stefano Cavuoti Open the ORCID record for Stefano Cavuoti [Opens in a new window] ,
Amata Mercurio ,
Anna Maria Di Giorgio  and
Sergio Molinari
Giuseppe Riccio
Affiliation:
INAF - Astronomical Observatory of Capodimonte, via Moiariello 16, I-80131 Napoli, Italy
Massimo Brescia
Affiliation:
INAF - Astronomical Observatory of Capodimonte, via Moiariello 16, I-80131 Napoli, Italy
Stefano Cavuoti
Affiliation:
INAF - Astronomical Observatory of Capodimonte, via Moiariello 16, I-80131 Napoli, Italy
Amata Mercurio
Affiliation:
INAF - Astronomical Observatory of Capodimonte, via Moiariello 16, I-80131 Napoli, Italy
Anna Maria Di Giorgio
Affiliation:
INAF - Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, I-00133 Roma, Italy
Sergio Molinari
Affiliation:
INAF - Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, I-00133 Roma, Italy
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Abstract

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In the current data-driven science era, it is needed that data analysis techniques has to quickly evolve to face with data whose dimensions has increased up to the Petabyte scale. In particular, being modern astrophysics based on multi-wavelength data organized into large catalogues, it is crucial that the astronomical catalog cross-matching methods, strongly dependant from the catalogues size, must ensure efficiency, reliability and scalability. Furthermore, multi-band data are archived and reduced in different ways, so that the resulting catalogues may differ each other in formats, resolution, data structure, etc, thus requiring the highest generality of cross-matching features. We present C3 (Command-line Catalogue Cross-match), a multi-platform application designed to efficiently cross-match massive catalogues from modern surveys. Conceived as a stand-alone command-line process or a module within generic data reduction/analysis pipeline, it provides the maximum flexibility, in terms of portability, configuration, coordinates and cross-matching types, ensuring high performance capabilities by using a multi-core parallel processing paradigm and a sky partitioning algorithm.

Keywords

methods: data analysismethods: statisticalcatalogs
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S325: Astroinformatics , October 2016 , pp. 327 - 332
Copyright
Copyright © International Astronomical Union 2017 

References

Becciani, U., et al. 2015 Advanced Environment for Knowledge Discovery in the VIALACTEA Project, Proceedings of ADASS XXV conference, October 2015, Sidney, Australia, in press. eprint arXiv:1511.08619Google Scholar
Benjamin, R. A., et al. 2003 The Publications of the Astronomical Society of the Pacific, 115 (810), 953–964 CrossRefGoogle Scholar
Churchwell, E., et al. 2009 Publications of the Astronomical Society of Pacific, 121 (877), 213–230 Google Scholar
Du, P., et al., 2014 Science China Physics, Mechanics and Astronomy, 57 (3), 577–583 Google Scholar
Gray, L., 2003 Not. Amer. Math. Soc., 50, 200–211 Google Scholar
Lucas, P. W., et al. 2008 Monthly Notices of the Royal Astronomical Society, 391 (1), 136–163 Google Scholar
Riccio, G., et al. 2016 accepted for publication in The Publications of the Astronomical Society of the Pacific, eprint arXiv:1611.04431Google Scholar
Sciacca, E., et al. 2016 Milky Way analysis through a Science Gateway: Workflows and Resource Monitoring, Proceedings of 8 th International Workshop on Science Gateways, June 2016, Rome, Italy, submitted.Google Scholar
Taylor, M. B., 2006 in Astronomical Data Analysis Software and Systems XV, ed. Gabriel, C., Arviset, C., Ponz, D., & Enrique, S., Astronomical Society of the Pacific Conference Series, 351, 666.Google Scholar
Van Der Walt, S., et al. 2011 Computing in Science and Engineering, 13, 22 Google Scholar