{"title":"C","authors":"L. Cabrera","doi":"10.2307/j.ctv1fkgcfv.8","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":305883,"journal":{"name":"The Sacred Language of the Abakuá","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Sacred Language of the Abakuá","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2307/j.ctv1fkgcfv.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

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.
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在2007/2008年的夏季,柏林系外行星搜索望远镜II (BEST II)观测到了CoRoT场LRa02。对恒星变异性的首次分析导致了345颗新发现的变星的发表。现在,对该数据集进行更深入的分析,以优化变异性搜索过程。与广泛使用的J指数进行变异性排名相比,为了改进选择过程,已经测试了几种方法和参数。本文描述了一种基于方差统计分析的经验方法来处理光度数据的系统趋势,可以显着降低误检率。最后,与Kabath等人的第一次分析相比,重新分析和方法改进的过程几乎使变星的数量增加了一倍。提出了272个以前未知的周期变量和52颗疑似变异性的恒星的补充目录。给出了19个已知变量的改进星历表。此外,将BEST II结果与CoRoT数据及其自动变异性分类进行了比较。
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