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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 

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