A Pipeline for the ROTSE-IIId Archival Data

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\dgr) and it considerably covers a large portion of northern sky (\(...

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Bibliographic Details
Published in:arXiv.org 2012-01
Main Authors: Güçsav, B B, Yeşilyaprak, C, Yerli, S K, Aksaker, N, Kızıloğlu, Ü, Çoker, D, Dikicioğlu, E, Aydın, M E
Format: Article
Language:English
Subjects:
Algorithms
Astrometry
Field of view
Light curve
Northern sky
Object recognition
Personal computers
Photometry
Pipelines
Variable stars
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Summary: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\dgr) and it considerably covers a large portion of northern sky (\(\delta>-25\dgr\)). 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.
ISSN:2331-8422
DOI:10.48550/arxiv.1108.2823