{"title":"VarStar Detect:一个用于半自动探测恒星变化的Python库","authors":"P. Jorge, C. A. Nicolás, C. B. Andrès","doi":"10.17721/2227-1481.12.13-17","DOIUrl":null,"url":null,"abstract":"VarStar Detect is a Python package available on PyPI optimized for the detection of variable stars using photometric measurements. Based on the method of the Least Squares regression, VarStar Detect calculates the amplitude of a trigonometric polynomial data fit as a measure of variability to assess whether the star is indeed variable. In this work, we present the mathematical background of the package and an analysis of the code's functionality based on TESS Sector 1 Data Release.","PeriodicalId":52077,"journal":{"name":"Advances in Astronomy and Space Physics","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"VarStar Detect: a Python library for the semi-automatic detection of stellar variability\",\"authors\":\"P. Jorge, C. A. Nicolás, C. B. Andrès\",\"doi\":\"10.17721/2227-1481.12.13-17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"VarStar Detect is a Python package available on PyPI optimized for the detection of variable stars using photometric measurements. Based on the method of the Least Squares regression, VarStar Detect calculates the amplitude of a trigonometric polynomial data fit as a measure of variability to assess whether the star is indeed variable. In this work, we present the mathematical background of the package and an analysis of the code's functionality based on TESS Sector 1 Data Release.\",\"PeriodicalId\":52077,\"journal\":{\"name\":\"Advances in Astronomy and Space Physics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Astronomy and Space Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17721/2227-1481.12.13-17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ASTRONOMY & ASTROPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Astronomy and Space Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17721/2227-1481.12.13-17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
VarStar Detect: a Python library for the semi-automatic detection of stellar variability
VarStar Detect is a Python package available on PyPI optimized for the detection of variable stars using photometric measurements. Based on the method of the Least Squares regression, VarStar Detect calculates the amplitude of a trigonometric polynomial data fit as a measure of variability to assess whether the star is indeed variable. In this work, we present the mathematical background of the package and an analysis of the code's functionality based on TESS Sector 1 Data Release.
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