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http://dx.doi.org/10.5140/JASS.2019.36.4.283

Development of a Period Analysis Algorithm for Detecting Variable Stars in Time-Series Observational Data  

Kim, Dong-Heun (Chungbuk National University Observatory)
Kim, Yonggi (Chungbuk National University Observatory)
Yoon, Joh-Na (Chungbuk National University Observatory)
Im, Hong-Seo (Korea Astronomy and Space Science Institute)
Publication Information
Journal of Astronomy and Space Sciences / v.36, no.4, 2019 , pp. 283-292 More about this Journal
Abstract
The purpose of this study was to develop a period analysis algorithm for detecting new variable stars in the time-series data observed by charge coupled device (CCD). We used the data from a variable star monitoring program of the CBNUO. The R filter data of some magnetic cataclysmic variables observed for more than 20 days were chosen to achieve good statistical results. 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, TT Ari, RXSJ1803, and MU Cam. In these fields, we found 13 variable stars, five of which were new variable stars not previously reported. Our period analysis algorithm were tested in the case of observation data mixed with various fields of view because the observations 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 is 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
Keywords
period analysis; variable star; data reduction; time-series observation;
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1 Pravdo SH, Rabinowitz DL, Helin EF, Lawrence KJ, Bambery RJ, et al., The Near-Earth Asteroid Tracking (NEAT) program: an automated system for telescope control, wide-field imaging, and object detection, Astron. J. 117, 1616-1633 (1999). https://doi.org/10.1086/300769   DOI
2 Roh DG, On the photometric algorithms for the globular cluster system imaging analysis of GALEX mission, Master Thesis, Yonsei University (2002).
3 Schwarzenberg-Czemy A, Fast and statistically optimal period search in uneven sampled observations, Astrophys. J. 460, L107-L110 (1996). https://doi.org/10.1086/309985
4 Schwarzenberg-Czemy A, The correct probability distribution for the phase dispersion minimization periodogram, Astrophys. J. 489, 941-945 (1997). https://doi.org/10.1086/304832   DOI
5 Scotti JV, Gehrels T, Rabinowitz DL, Automated detection of asteroids in real time with the spacewatch telescope, in Asteroids, Comets, and Meteors 1991, eds. Harris A, Bowell E (Lunar and Planetary Institute, Houston , TX, 1992), 541-544.
6 Shin MS, Byun YI, Efficient period search for time series photometry, J Korean Astron. Soc. 37, 79-85 (2004). https://doi.org/10.5303/JKAS.2004.37.2.079   DOI
7 Stokes GH, Evans JB, Viggh HEM, Shelly FC, Pearce EC, Lincoln Near-Earth Asteroid Program (LINEAR), Icarus 148, 21-28 (2000). https://doi.org/10.1006/icar.2000.6493   DOI
8 Udalski A, Szymanski M. Kaluzny J, Kubiak M, Mateo M, The optical gravitational lensing experiment, Acta Astron. 42, 253-284 (1992).
9 Virnina NA, Three new variable stars near TT Ari, Open Eur. J. Var. Stars 124, 1-7 (2010).
10 Virnina, NA, Tsessevich' project: An attempt to find the system YY Dra. I, Open Eur. J. Var. Stars 133, 1-8 (2011).
11 Akerlof C, Alcock C, Allsman R, Axelrod T, Bennett DP, et al., Application of cubic splines to the spectral analysis of unequally spaced data, Astrophys. J. 436, 787-794 (1994). https://doi.org/10.1086/174954   DOI
12 Akerlof CW, Kehoe RL, McKay TA, Rykoff ES, Smith D, The ROTSE-III robotic telescope system, Publ. Astron. Soc. Pac. 115, 132-140 (2003). https://doi.org/10.1086/345490   DOI
13 Alcock C, Allsman RA, Axelrod TS, Bennett DP, Cook KH, et al., The MACHO project: A search for the dark matter in the milky way, Proceedings of a Conference in Honor of Gerry Neugebauer, California Institute of Technology, Pasadena, CA, 16-18 Sep 1993.
14 Andronov IL, Breus VV, Zola S, Determination of characteristics of newly discovered eclipsing binary 2MASS J18024395 + 4003309 = VSX J180243.9+400331, Odessa Astron. Pub. 25/2, 150-151 (2012).
15 Aubourg E, Bareyre P, Brehin S, Gros M, Lachieze-Rey, Search for very lowmass objects in the Galactic Halo, Astron. Astrophys. 301, 1 (1995).
16 Belova AI, Suleimanov VF, Bikmaev IF, Khamitov IM, Zhukov GV, et al., Comparative analysis of photometric variability of TT ARI in the years 1994-1995 and 2001, 2004, Astron. Lett. 39, 111-125 (2013). https://doi.org/10.1134/S1063773713020011   DOI
17 Bertin E, Arnouts S, SExtractor: Software for source extraction, Astron. Astrophys. Suppl. Ser. 117, 393-404 (1996). https://doi.org/10.1051/aas:1996164   DOI
18 Breus VV, Andronov IL, Dubovsky PA, Hegedus T, Kudzej I, et al., Improved photometric characteristics of the newly discovered EW-type system GSC 04370-00206, Odessa Astron. Pub. 23, 19 (2010).
19 Byeon JG, Variable star search in the near earth space survey database, Master Thesis, Yonsei University (2008).
20 Vivas AK, Zinn R, Andrews P, Bailyn C, Baltay C, et al., The QUEST RR Lyrae Survey: confirmation of the clump at 50 kiloparsecs and other overdensiIies in the outer halo, Astrophys. J. 554, L33-L36 (2001). https://doi.org/10.1086/320915   DOI
21 Yoon JN, Lee CU, Cha SM, Kim Y, A construction of an automatic observation system for bright and long period variable starts, J. Astron. Space Sci. 23, 143-152 (2006). https://doi.org/10.5140/JASS.2006.23.2.143   DOI
22 York DG, Adelman J, Anderson JE, Anderson SF, Annis J, et al., The Sloan digital sky survey: technical summary, Astronphys. J. 120, 1579-1587 (2000).
23 Gansicke BT, Marsh TR, Edge A, Rodriguez-Gil P, Steeghs D, et al., Cataclysmic variables from a ROSAT/2MASS selection - I. Four new intermediate polars, Mon. Not. R. Astron. Soc. 361, 141-154 (2005). https://doi.org/10.1111/j.1365-2966.2005.09138.x   DOI
24 Kim TW, Algorithm for asteroid detection using time-series observational data, Master Thesis, Chungbuk National University (2015).
25 Groot PJ, Vreeswijk PM, Huber ME, Everett ME, Howell SB et al., The Faint Sky Variability Survey - I. Goals and data reduction process, Mon. Not. R. Astron. Soc. 339, 427-434 (2003). https://doi.org/10.1046/j.1365-8711.2003.06182.x   DOI
26 Haswell CA, Patterson J, Thorstensen JR, Hellier C, Skillman DR, Pulsations and accretion geometry in YY Draconis: A study based on Hubble space telescope observations, Astrophys. J. 476, 847-864 (1997). https://doi.org/10.1086/303630   DOI
27 Kazarovets EV, Samus NN, Durlevich OV, Kireeva NN, Pastukhova EN, The 78th name-list of variable stars, Inf. Bull. Var. Stars 5721, 1 (2006).
28 Kazarovets EV, Samus NN, Durlevich OV, Kireeva NN, Pastukhova EN, The 80th name-list of variable stars. Part II - RA 6h to 16h, Inf. Bull. Var. Stars 6008, 1 (2011).
29 Khruslov AV, New short-period eclipsing binaries in Camelopardalis, Peremennye Zvezdy Prilozhenie 6, 11 (2006).
30 Mink DJ, WCSTools: Putting image world coordinate systems to use, ASP Conf. Ser. 125, 249 (1997).
31 Monet DG, Levine SE, Canzian B, Ables HD, Bird AR, et al., The USNO-B catalog, Astron. J. 125, 984-993 (2003).   DOI
32 Park HS, Williams GG, Ables E, Band DL, Barthelmy SD, et al., New constraints on simultaneous optical emission from GAMMA-RAY burst measured by the livermore optical transient imaging system experiment, Astrophys. J. 490, L21-L24 (1997). https://doi.org/10.1086/311020   DOI
33 Petit M, Variable Stars (John Wiley & Sons, New York, NY, 1987).
34 Pojmanski G, The all sky automated survey, Acta Astron. 47, 467-481 (1997).   DOI