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Related papers: Automated classification of Hipparcos unsolved var…

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Gaia is undertaking a deep synoptic survey of the Galaxy, but photometry from individual epochs has, as of yet, only been released for a minimal number of sources. We show that it is possible to identify variable stars in Gaia Data Release…

Instrumentation and Methods for Astrophysics · Physics 2021-03-03 Shion Andrew , Samuel J. Swihart , Jay Strader

This paper describes the third part of the photometric data from the 9 x 9 deg ASAS camera monitoring the whole southern hemisphere in V-band. Preliminary list of variable stars based on observations obtained since January 2001 is…

Astrophysics · Physics 2007-05-23 G. Pojmanski , Gracjan Maciejewski

To maximize the discovery potential of future synoptic surveys, especially in the field of transient science, it will be necessary to use automatic classification to identify some of the astronomical sources. The data mining technique of…

Instrumentation and Methods for Astrophysics · Physics 2015-06-18 Kitty K. Lo , Sean Farrell , Tara Murphy , B. M. Gaensler

Hipparcos observations of some variable stars, and especially of long-period (e.g. Mira) variables, reveal a motion of the photocenter correlated with the brightness variation ({variability-induced mover -- VIM), suggesting the presence of…

Astrophysics · Physics 2009-11-07 D. Pourbaix , I. Platais , S. Detournay , A. Jorissen , G. Knapp , V. V. Makarov

Accurate photometry was obtained for all programme stars during the 3.3-year HIPPARCOS mission. The final observing programme included several hundred Mirae (M), semiregular (SR) long-period and irregular (L) variables. A detailed…

Astrophysics · Physics 2007-05-23 M. Grenon , J. A. Mattei , L. Eyer , G. Foster

We present the Extended Hipparcos Compilation (XHIP), a database of all stars in the New Reduction of the Hipparcos Catalog extensively cross-referenced with data from a broad survey of presently available sources. The resulting collection…

Astrophysics of Galaxies · Physics 2015-05-30 Erik Anderson , Charles Francis

Stellar photometric variability offers a novel probe of the interior structure and evolutionary state of stars. Here we present a census of stellar variability on day to decade timescales across the color-magnitude diagram for 73,000 stars…

The identification and analysis of different variable sources is a hot issue in astrophysical research. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) spectroscopic survey has accumulated massive spectral data but…

Solar and Stellar Astrophysics · Physics 2022-03-02 Tingting Xu , Chao Liu , Feng Wang , Weirong Huang , Hui Deng , Ying Mei , Zhong Cao

We identify 339 known and 316 new variable stars of various types among 250000 lightcurves obtained by digitizing 167 30x30cm photographic plates of the Moscow collection. We use these data to conduct a comprehensive test of 18 statistical…

Solar and Stellar Astrophysics · Physics 2016-05-13 K. V. Sokolovsky , D. M. Kolesnikova , A. M. Zubareva , N. N. Samus , S. V. Antipin

[abridged] A "missing data" algorithm is developed to model (ie, reconstruct) the three-dimensional velocity distribution function of a sample of stars using data (velocity measurements) every one of which has one dimension unmeasured (the…

Astrophysics · Physics 2009-11-11 David W. Hogg , Michael R. Blanton , Sam T. Roweis , Kathryn V. Johnston

The Asteroid Terrestrial-impact Last Alert System (ATLAS) carries out its primary planetary defense mission by surveying about 13000 deg^2 at least four times per night. The resulting data set is useful for the discovery of variable stars…

We present ~47,000 periodic variables found during the analysis of 5.4 million variable star candidates within a 20,000 square degree region covered by the Catalina Surveys Data Release-1 (CSDR1). Combining these variables with type-ab RR…

We present a catalog of 150 variable stars, including 13 stars with exoplanet candidates. 37 stars were identified as variables for the first time. As a result of a 2.5-year photometric survey of exoplanets, we have obtained and analyzed…

Variable sources probe a wide range of astrophysical phenomena. We present a catalog of over ten million variable source candidates found in Data Release 1 (DR1) of the Zwicky Transient Facility (ZTF). We perform a periodicity search up to…

Solar and Stellar Astrophysics · Physics 2020-11-04 Eran O. Ofek , Maayane Soumagnac , Guy Nir , Avishay Gal-Yam , Peter Nugent , Frank Masci , Shrinivas R. Kulkarni

The number of known periodic variable stars has increased rapidly in recent years. As an all-sky transit survey, the Transiting Exoplanet Survey Satellite (TESS) plays an important role in detecting low-amplitude variable stars. Using…

Solar and Stellar Astrophysics · Physics 2024-12-10 Xinyi Gao , Xiaodian Chen , Shu Wang , Jifeng Liu

RV variable stars are important in astrophysics. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) spectroscopic survey has provided ~ 6.5 million stellar spectra in its Data Release 4 (DR4). During the survey, ~ 4.7…

In this paper we present the fourth part of the photometric data from the 9x9 deg ASAS camera monitoring the whole southern hemisphere in V-band. Preliminary list (based on observations obtained since January 2001) of variable stars located…

Astrophysics · Physics 2007-05-23 G. Pojmanski , Gracjan Maciejewski

A considerable number of astrometric binaries whose positions on the sky do not obey the standard model of mean position, parallax and linear proper motion, were observed by the Hipparcos satellite. Some of them remain non-discovered, and…

Astrophysics · Physics 2009-11-11 Alexey Goldin , Valeri Makarov

Context. Discovery of new variability classes in large surveys using multivariate statistics techniques such as clustering, relies heavily on the correct understanding of the distribution of known classes as point processes in parameter…

Solar and Stellar Astrophysics · Physics 2015-05-13 L. M. Sarro , J. Debosscher , C. Aerts , M. López

Catalogs of periodic variable stars contain large numbers of periodic light-curves (photometric time series data from the astrophysics domain). Separating anomalous objects from well-known classes is an important step towards the discovery…

Machine Learning · Computer Science 2009-06-19 Umaa Rebbapragada , Pavlos Protopapas , Carla E. Brodley , Charles Alcock