Article (Scientific journals)
Comparative performance of selected variability detection techniques in photometric time series data
Sokolovsky, K. V.; Gavras, P.; Karampelas, A. et al.
2017In Monthly Notices of the Royal Astronomical Society, 464 (1), p. 274-292
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Keywords :
Methods: data analysis; Methods: statistical; Stars: variables: general
Abstract :
[en] Photometric measurements are prone to systematic errors presenting a challenge to lowamplitude variability detection. In search for a general-purpose variability detection technique able to recover a broad range of variability types including currently unknown ones, we test 18 statistical characteristics quantifying scatter and/or correlation between brightness measurements. We compare their performance in identifying variable objects in seven time series data sets obtained with telescopes ranging in size from a telephoto lens to 1 m-class and probing variability on time-scales from minutes to decades. The test data sets together include light curves of 127 539 objects, among them 1251 variable stars of various types and represent a range of observing conditions often found in ground-based variability surveys. The real data are complemented by simulations. We propose a combination of two indices that together recover a broad range of variability types from photometric data characterized by a wide variety of sampling patterns, photometric accuracies and percentages of outlier measurements. The first index is the interquartile range (IQR) of magnitude measurements, sensitive to variability irrespective of a time-scale and resistant to outliers. It can be complemented by the ratio of the light-curve variance to the mean square successive difference, 1/η, which is efficient in detecting variability on time-scales longer than the typical time interval between observations. Variable objects have larger 1/η and/or IQR values than non-variable objects of similar brightness. Another approach to variability detection is to combine many variability indices using principal component analysis.We present 124 previously unknown variable stars found in the test data. © 2016 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Sokolovsky, K. V.;  IAASARS, National Observatory of Athens, Penteli, 15236, Greece, Sternberg Astronomical Institute, Moscow State University, Universitetskii pr. 13, Moscow, 119992, Russian Federation, Astro Space Center of Lebedev Physical Institute, Profsoyuznaya Str. 84/32, Moscow, 117997, Russian Federation
Gavras, P.;  IAASARS, National Observatory of Athens, Penteli, 15236, Greece
Karampelas, A.;  IAASARS, National Observatory of Athens, Penteli, 15236, Greece
Antipin, S. V.;  Sternberg Astronomical Institute, Moscow State University, Universitetskii pr. 13, Moscow, 119992, Russian Federation, Institute of Astronomy (Russian Academy of Sciences), Pyatnitskaya Str. 48, Moscow, 119017, Russian Federation
Bellas-Velidis, I.;  IAASARS, National Observatory of Athens, Penteli, 15236, Greece
Benni, P.;  Acton Sky Portal, 3 Concetta Circle, Acton, MA 01720, United States
Bonanos, A. Z.;  IAASARS, National Observatory of Athens, Penteli, 15236, Greece
Burdanov, Artem ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Exotic
Derlopa, S.;  Department of Physics, University of Patras, Patra, 26500, Greece
Hatzidimitriou, D.;  IAASARS, National Observatory of Athens, Penteli, 15236, Greece, Department of Astrophysics, Astronomy and Mechanics, Faculty of Physics, University of Athens, Athens, 15783, Greece
Khokhryakova, A. D.;  Kourovka Astronomical Observatory, Ural Federal University, Mira Str. 19, Ekaterinburg, 620002, Russian Federation
Kolesnikova, D. M.;  Institute of Astronomy (Russian Academy of Sciences), Pyatnitskaya Str. 48, Moscow, 119017, Russian Federation
Korotkiy, S. A.;  Ka-Dar astronomy foundation, PO Box 82, Kuzminki, Moscow region, 142717, Russian Federation
Lapukhin, E. G.;  Reshetnev Siberian State Aerospace University, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation
Moretti, M. I.;  IAASARS, National Observatory of Athens, Penteli, 15236, Greece
Popov, A. A.;  Kourovka Astronomical Observatory, Ural Federal University, Mira Str. 19, Ekaterinburg, 620002, Russian Federation
Pouliasis, E.;  IAASARS, National Observatory of Athens, Penteli, 15236, Greece, Department of Astrophysics, Astronomy and Mechanics, Faculty of Physics, University of Athens, Athens, 15783, Greece
Samus, N. N.;  Sternberg Astronomical Institute, Moscow State University, Universitetskii pr. 13, Moscow, 119992, Russian Federation, Institute of Astronomy (Russian Academy of Sciences), Pyatnitskaya Str. 48, Moscow, 119017, Russian Federation
Spetsieri, Z.;  IAASARS, National Observatory of Athens, Penteli, 15236, Greece, Department of Astrophysics, Astronomy and Mechanics, Faculty of Physics, University of Athens, Athens, 15783, Greece
Veselkov, S. A.;  Reshetnev Siberian State Aerospace University, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation
Volkov, K. V.;  Kourovka Astronomical Observatory, Ural Federal University, Mira Str. 19, Ekaterinburg, 620002, Russian Federation
Yang, M.;  IAASARS, National Observatory of Athens, Penteli, 15236, Greece
Zubareva, A. M.;  Sternberg Astronomical Institute, Moscow State University, Universitetskii pr. 13, Moscow, 119992, Russian Federation, Institute of Astronomy (Russian Academy of Sciences), Pyatnitskaya Str. 48, Moscow, 119017, Russian Federation
More authors (13 more) Less
Language :
English
Title :
Comparative performance of selected variability detection techniques in photometric time series data
Publication date :
2017
Journal title :
Monthly Notices of the Royal Astronomical Society
ISSN :
0035-8711
eISSN :
1365-2966
Publisher :
Oxford University Press
Volume :
464
Issue :
1
Pages :
274-292
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
NSF - National Science Foundation [US-VA] [US-VA]
SVA - Society for Visual Anthropology [US-VA] [US-VA]
NASA - National Aeronautics and Space Administration [US-DC] [US-DC]
ASE - Agence Spatiale Européenne [FR]
Ministry of Education and Science of the Russian Federation [RU]
Hemophilia of South Carolina [US-SC] [US-SC]
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