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ARCO: a program for Automatic Reduction of CCD Observations

Published online by Cambridge University Press:  23 May 2007


E. Distefano
Affiliation:
INAF – Catania Astrophysical Observatory, via S. Sofia 78, 95123 Catania Italy
S. Messina
Affiliation:
INAF – Catania Astrophysical Observatory, via S. Sofia 78, 95123 Catania Italy
G. Cutispoto
Affiliation:
INAF – Catania Astrophysical Observatory, via S. Sofia 78, 95123 Catania Italy
P.S. Parihar
Affiliation:
Indian Institute of Astrophysics, BLOCK II, Koramangala, Bangalore 560034, India
M. Comparato
Affiliation:
INAF – Catania Astrophysical Observatory, via S. Sofia 78, 95123 Catania Italy
I. Busá
Affiliation:
INAF – Catania Astrophysical Observatory, via S. Sofia 78, 95123 Catania Italy
A.F. Lanza
Affiliation:
INAF – Catania Astrophysical Observatory, via S. Sofia 78, 95123 Catania Italy
A.C. Lanzafame
Affiliation:
Dept. of Physics and Astronomy, Catania University, via S. Sofia 78, 95123 Catania Italy
I. Pagano
Affiliation:
INAF – Catania Astrophysical Observatory, via S. Sofia 78, 95123 Catania Italy
K.G. Strassmeier
Affiliation:
Astrophysical Institute Potsdam (AIP), An der Sternwarte 15, 14482 Potsdam, Germany

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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).


Type
Research Article
Copyright
© EAS, EDP Sciences, 2007

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