Abstract
We have constructed a new, fast, robust and reliable pipeline to detect variable stars from the ROTSE-IIId archival data. Turkish share of ROTSE-III archive contains approximately one million objects from a large field of view (1.85°) and it considerably covers a large portion of northern sky (δ > − 25°). The unfiltered ROTSE-III magnitude of the objects ranges from 7.7 to 16.9. The main stages of the new pipeline are as follows: Source extraction, astrometry of the objects, light curve generation and inhomogeneous ensemble photometry. A high performance computing (HPC) algorithm has also been implemented into the pipeline where we had a good performance even on a personal computer. Running the algorithms of the pipeline on a cluster decreases analysis time significantly from weeks to hours. The pipeline is especially tested against long period variable stars with periods of a few hundred days (e.g Mira and SR) and variables having periods starting from a few days to a few hundred days were detected.
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Acknowledgements
This project utilizes data obtained by the Robotic Optical Transient Search Experiment (ROTSE). ROTSE is a collaboration of Lawrence Livermore National Lab, Los Alamos National Lab and the University of Michigan (http://www.rotse.net).
All observations were made with the ROTSE–IIId telescope and the archival data of ROTSE–IIId obtained at the TÜBİTAK (Turkish Scientific and Research Council) National Observatory (TUG), so we thank to ROTSE–III Collaboration and TUG for the optical and archival facilities (TUG - ROTSE–IIId projects of Turkish observers).
We also thank Prof. Dr. Ü. Kızıloğlu for consulting, suggestions and helps.
This study was supported by TÜBİTAK with the project TBAG–108T475.
This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France and cdsclient tool located at CDS and NASA Astrophysics Data System Bibliographic Services.
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Güçsav, B.B., Yeşilyaprak, C., Yerli, S.K. et al. A pipeline for the ROTSE–IIId archival data. Exp Astron 33, 197–209 (2012). https://doi.org/10.1007/s10686-011-9283-9
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DOI: https://doi.org/10.1007/s10686-011-9283-9