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ARCO: a program for Automatic Reduction of CCD Observations

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dc.contributor.author Distefano, E
dc.contributor.author Messina, S
dc.contributor.author Cutispoto, G
dc.contributor.author Parihar, P. S
dc.contributor.author Comparato, M
dc.contributor.author Busá, I
dc.contributor.author Lanza, A. F
dc.contributor.author Lanzafame, A. C
dc.contributor.author Pagano, I
dc.contributor.author Strassmeier, K. G
dc.date.accessioned 2013-04-29T09:19:08Z
dc.date.available 2013-04-29T09:19:08Z
dc.date.issued 2007
dc.identifier.citation Epchtein, N. and Candidi, M., eds. 1st ARENA Conference on Astronomy at CONCORDIA, EAS Publications Series, 25, 2007, pp. 165–169 en
dc.identifier.issn 1638-1963
dc.identifier.uri http://hdl.handle.net/2248/6050
dc.description Restricted Access en
dc.description.abstract The huge amount of CCD photometric data collected by robotic telescopes (as for instance the ICE-T telescope to be installed at Dome-C) requires a fully automated approach to the reduction and analysis procedures. To this end, we are developing a pipeline, making use of IRAF, DAOPHOTII and tasks build up by us, which will enable to automatically extract differential magnitude time series. Both aperture and PSF photometry methods are used to build a proper sample of comparison stars, with the best method between the two being automatically selected. Finally, the search of rotational periods is performed. To test our package, we present results obtained using a 4-year dataset of a field in the Orion Nebula Cluster (ONC) containing about 350 stars (150 of which turned out to be periodic variables). en
dc.language.iso en en
dc.publisher EDP Sciences en
dc.relation.ispartofseries EAS Publications Series; 25
dc.relation.uri http://dx.doi.org/10.1051/eas:2007089 en
dc.rights © EAS EDP Sciences en
dc.title ARCO: a program for Automatic Reduction of CCD Observations en
dc.type Article en


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