Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/6050
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dc.contributor.authorDistefano, E-
dc.contributor.authorMessina, S-
dc.contributor.authorCutispoto, G-
dc.contributor.authorParihar, P. S-
dc.contributor.authorComparato, M-
dc.contributor.authorBusá, I-
dc.contributor.authorLanza, A. F-
dc.contributor.authorLanzafame, A. C-
dc.contributor.authorPagano, I-
dc.contributor.authorStrassmeier, K. G-
dc.date.accessioned2013-04-29T09:19:08Z-
dc.date.available2013-04-29T09:19:08Z-
dc.date.issued2007-
dc.identifier.citationEpchtein, N. and Candidi, M., eds. 1st ARENA Conference on Astronomy at CONCORDIA, EAS Publications Series, 25, 2007, pp. 165–169en
dc.identifier.issn1638-1963-
dc.identifier.urihttp://hdl.handle.net/2248/6050-
dc.descriptionRestricted Accessen
dc.description.abstractThe 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.isoenen
dc.publisherEDP Sciencesen
dc.relation.ispartofseriesEAS Publications Series; 25-
dc.relation.urihttp://dx.doi.org/10.1051/eas:2007089en
dc.rights© EAS EDP Sciencesen
dc.titleARCO: a program for Automatic Reduction of CCD Observationsen
dc.typeArticleen
Appears in Collections:IIAP Publications

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