Comparative performance of selected variability detection techniques in photometric time series data

Sokolovsky, K. V.; Gavras, P.; Karampelas, A.; Antipin, S. V.; Bellas-Velidis, I.; Benni, P.; Bonanos, A. Z.; Burdanov, Artem; Derlopa, S.; Hatzidimitriou, D.; Khokhryakova, A. D.; Kolesnikova, D. M.; Korotkiy, S. A.; Lapukhin, E. G.; Moretti, M. I.; Popov, A. A.; Pouliasis, E.; Samus, N. N.; Spetsieri, Z.; Veselkov, S. A.; Volkov, K. V.; Yang, M.; Zubareva, A. M.

doi:10.1093/mnras/stw2262

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Comparative performance of selected variability detection techniques in photometric time series data

Sokolovsky, K. V.; Gavras, P.; Karampelas, A. et al.

2017 • In Monthly Notices of the Royal Astronomical Society, 464 (1), p. 274-292

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https://hdl.handle.net/2268/238947

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10.1093/mnras/stw2262

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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

More authors (13 more)

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 :

Pages :

274-292

Peer reviewed :

Peer Reviewed verified by ORBi

Funders :

NSF - National Science Foundation
SVA - Society for Visual Anthropology
NASA - National Aeronautics and Space Administration
ASE - Agence Spatiale Européenne
Ministry of Education and Science of the Russian Federation
Hemophilia of South Carolina

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