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자료유형
학술저널
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저널정보
한국우주과학회 Journal of Astronomy and Space Sciences Journal of Astronomy and Space Sciences 제36권 제4호
발행연도
2019.1
수록면
283 - 292 (10page)

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The purpose of this study was to develop a period analysis algorithm for detecting new variable stars in the time-series data observed by CCD at the Chungbuk National University Observatory in Jincheon (CBNUO). The data used are from a variable star monitoring program of the CBNUO. Many types of variable stars have been monitored since the CBNUO was established in 2008. Among the big data sets, the R filter data of some magnetic cataclysmic variables observed for more than 20 days were chosen to achieve good statistical results. A method related to the basic concept of the period analysis algorithm was adopted. World Coordinate System (WCS) Tools was used to correct the rotation of the observed images and assign the same IDs to the stars included in the analyzed areas. The developed algorithm was applied to the data of DO Dra observed for 67 days, TT Ari for 48 days, RXSJI803 for 39 days, and MU Cam for 30 days. In the observation fields, we found 13 variable stars, five of which were new variable stars not previously reported. Our period analysis algorithm could be tested in the case of observation data mixed with various fields of view because the observations of these cataclysmic variables were carried with 2K CCD as well as 4K CCD at the CBNUO. Our results show that variable stars can be detected using our algorithm even with observational data for which the field of view has changed. Our algorithm will be useful to detect new variable stars and analyze them based on existing time-series data. The developed algorithm can play an important role as a recycling technique for used data.

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