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Long-term Periodicities of Cataclysmic Variables with Synoptic Surveys

Yang, Michael Ting-Chang and Chou, Yi and Ngeow, Chow-Choong and Hu, Chin-Ping and Su, Yi-Hao and Prince, Thomas A. and Kulkarni, Shrinivas R. and Levitan, David and Laher, Russ and Surace, Jason and Drake, Andrew J. and Djorgovski, Stanislav G. and Mahabal, Ashish A. and Graham, Matthew J. and Donalek, Ciro (2017) Long-term Periodicities of Cataclysmic Variables with Synoptic Surveys. Publications of the Astronomical Society of the Pacific, 129 (979). Art. No. 094202. ISSN 0004-6280. doi:10.1088/1538-3873/aa7a99.

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A systematic study on the long-term periodicities of known Galactic cataclysmic variables (CVs) was conducted. Among 1580 known CVs, 344 sources were matched and extracted from the Palomar Transient Factory (PTF) data repository. The PTF light curves were combined with the Catalina Real-Time Transient Survey (CRTS) light curves and analyzed. Ten targets were found to exhibit long-term periodic variability, which is not frequently observed in the CV systems. These long-term variations are possibly caused by various mechanisms, such as the precession of the accretion disk, hierarchical triple star system, magnetic field change of the companion star, and other possible mechanisms. We discuss the possible mechanisms in this study. If the long-term period is less than several tens of days, the disk precession period scenario is favored. However, the hierarchical triple star system or the variations in magnetic field strengths are most likely the predominant mechanisms for longer periods.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Ngeow, Chow-Choong0000-0001-8771-7554
Prince, Thomas A.0000-0002-8850-3627
Kulkarni, Shrinivas R.0000-0001-5390-8563
Laher, Russ0000-0003-2451-5482
Surace, Jason0000-0001-7291-0087
Djorgovski, Stanislav G.0000-0002-0603-3087
Mahabal, Ashish A.0000-0003-2242-0244
Graham, Matthew J.0000-0002-3168-0139
Additional Information:© 2017 The Astronomical Society of the Pacific. Received 2017 May 21; accepted 2017 June 20; published 2017 July 20. M.T.-C.Y. is grateful to have the anonymous referee for the precious comments and suggestions. M.T.-C.Y. thanks the Ministry of Science and Technology (MOST) of Taiwan for support through the grant MOST 104-2119-M-008-024 (TANGO Project, as the courtesy of W.H.Ip.), NSC 102-2112-M-008-020-MY3, and MOST 105-2112-M-008-012. PTF is a collaboration project in science among the California Institute of Technology, Los Alamos National Laboratory, the University of Wisconsin-Milwaukee, the Oskar Klein Center, the Weizmann Institute of Science, the TANGO Program of the University System of Taiwan, and the Kavli Institute for the Physics and Mathematics of the Universe. C.R.T.S. was supported by the NSF grants of AST-1313422, AST-1413600, and AST-1518308.
Group:Infrared Processing and Analysis Center (IPAC), Palomar Transient Factory, Astronomy Department
Funding AgencyGrant Number
Ministry of Science and Technology (Taipei)104-2119-M-008-024
National Science Foundation of China102-2112-M-008-020-MY3
Ministry of Science and Technology (Taipei)105-2112-M-008-012
Subject Keywords:(stars:) novae – cataclysmic variables – (stars:) binaries (including multiple): close – surveys – catalogs – methods: data analysis – methods: observational
Issue or Number:979
Record Number:CaltechAUTHORS:20170728-091458187
Persistent URL:
Official Citation:Michael Ting-Chang Yang et al 2017 PASP 129 094202
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:79532
Deposited By: Tony Diaz
Deposited On:28 Jul 2017 16:24
Last Modified:15 Nov 2021 17:48

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