IMPROVED VARIABLE STAR SEARCH IN LARGE PHOTOMETRIC DATA SETS: NEW VARIABLES IN CoRoT FIELD LRa02 DETECTED BY BEST II
IMPROVED VARIABLE STAR SEARCH IN LARGE PHOTOMETRIC DATA SETS: NEW VARIABLES IN CoRoT FIELD LRa02 DETECTED BY BEST II
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改进大型光度数据集中的变量星搜索：BEST II 检测到 CoRoT 场 LRa02 中的新变量
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
R. Titz
中科院分区：
文献类型：
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作者：
T. Fruth;P. Kabáth;J. Cabrera;R. Chini;S. Csizmadia;P. Eigmüller;A. Erikson;S. Kirste;R. Lemke;M. Murphy;T. Pasternacki;H. Rauer;R. Titz
在2007/2008年南半球夏季，柏林系外行星搜索望远镜II（BEST II）观测到了CoRoT场LRa 02。第一次对恒星变率的分析导致了345颗新发现的变星的发表。现在，对该数据集进行了更深入的分析，以优化变异性搜索程序。已经测试了几种方法和参数，以改善选择过程相比，广泛使用的J指数的变异性排名。本文介绍了一种经验的方法来处理光度数据的方差统计分析的基础上，可以显着降低错误检测率的系统趋势。最后，再分析和方法改进的过程中，几乎增加了一倍的变星的数量相比，第一次分析由Kabath等人。一个补充目录的272个以前未知的周期变量加上52颗恒星与怀疑的变化。改进的星历给出了19个已知变量在外地。此外，BEST II结果与CoRoT数据及其自动变异性分类进行了比较。
The CoRoT field LRa02 has been observed with the Berlin Exoplanet Search Telescope II (BEST II) during the southern summer 2007/2008. A first analysis of stellar variability led to the publication of 345 newly discovered variable stars. Now, a deeper analysis of this data set was used to optimize the variability search procedure. Several methods and parameters have been tested in order to improve the selection process compared to the widely used J index for variability ranking. This paper describes an empirical approach to treat systematic trends in photometric data based upon the analysis of variance statistics that can significantly decrease the rate of false detections. Finally, the process of reanalysis and method improvement has virtually doubled the number of variable stars compared to the first analysis by Kabath et al. A supplementary catalog of 272 previously unknown periodic variables plus 52 stars with suspected variability is presented. Improved ephemerides are given for 19 known variables in the field. In addition, the BEST II results are compared with CoRoT data and its automatic variability classification.