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With the advent of surveys generating multi-epoch photometry and their discoveries of large numbers of variable stars, the classification of the obtained times series has to be automated. We have developed a classification algorithm for the…

Astrophysics · Physics 2007-05-23 L. Eyer , C. Blake

This paper describes the second part of the photometric data from the 9x9 deg ASAS camera monitoring the whole southern hemisphere in the V-band. Preliminary list of variable stars based on observations obtained since January 2001 is…

Astrophysics · Physics 2007-05-23 G. Pojmanski

This paper describes the first part of the photometric data from the 9x9 deg ASAS cameras monitoring the whole southern hemisphere in V-band. Data acquisition and reduction pipeline is described and preliminary list of variable stars is…

Astrophysics · Physics 2009-07-09 G. Pojmanski

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

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

The All-Sky Automated Survey for Supernovae (ASAS-SN) has recently used over 2000 days of data to identify more than 50,000 variable stars, automatically classify these, determine periods and amplitudes for those that are periodic -- part…

Solar and Stellar Astrophysics · Physics 2019-05-10 John R. Percy , Lucas Fenaux

We describe a methodology to classify periodic variable stars identified using photometric time-series measurements constructed from the Wide-field Infrared Survey Explorer (WISE) full-mission single-exposure Source Databases. This will…

Instrumentation and Methods for Astrophysics · Physics 2015-06-18 Frank J. Masci , Douglas I. Hoffman , Carl J. Grillmair , Roc M. Cutri

The variable stars in the VSX catalog are derived from a multitude of inhomogeneous data sources and classification tools. This inhomogeneity complicates our understanding of variable star types, statistics, and properties, and it directly…

Photometric data from the ASAS - South (declination less than 29 deg) survey have been used for identification of bright stars located near the sources from the ROSAT All Sky Survey Bright Source Catalog (RBSC). In total 6028 stars brighter…

Solar and Stellar Astrophysics · Physics 2012-04-18 M. Kiraga

We present a novel automated methodology to detect and classify periodic variable stars in a large database of photometric time series. The methods are based on multivariate Bayesian statistics and use a multi-stage approach. We applied our…

Instrumentation and Methods for Astrophysics · Physics 2014-06-27 J. Blomme , L. M. Sarro , F. T. O'Donovan , J. Debosscher , T. Brown , M. Lopez , P. Dubath , L. Rimoldini , D. Charbonneau , E. Dunham , G. Mandushev , D. R. Ciardi , J. De Ridder , C. Aerts

We describe the construction of a highly reliable sample of approximately 7,000 optically faint periodic variable stars with light curves obtained by the asteroid survey LINEAR across 10,000 sq.deg of northern sky. Majority of these…

Variable stars play a key role in understanding the Milky Way and the universe. The era of astronomical big data presents new challenges for quick identification of interesting and important variable stars. Accurately estimating the periods…

Instrumentation and Methods for Astrophysics · Physics 2022-12-21 Xiao-Hui Xu , Qing-Feng Zhu , Xu-Zhi Li , Bin Li , Hang Zheng , Jin-Sheng Qiu , Hai-Bin Zhao

The All-Sky Automated Survey for Supernovae (ASAS-SN) is the first optical survey to routinely monitor the whole sky with a cadence of $\sim2-3$ days down to V$\lesssim17$ mag. ASAS-SN has monitored the whole sky since 2014, collecting…

Results of the first two years of observations using the All Sky Automated Survey prototype camera are presented. More than 140 000 stars in 50 Selected Fields covering 300 sq. degrees were monitored each clear night in the I-band resulting…

Astrophysics · Physics 2009-09-15 Pojmanski , G

We accurately identify and classify the variability of A-F stars in the southern continuous viewing zone of the TESS satellite. The brightness limit was set to 10 mag to ensure the utmost reliability of our results and allow for…

Solar and Stellar Astrophysics · Physics 2024-08-06 M. Skarka , Z. Henzl

Based on a search for multi-periodic variability among the semi-regular red variable stars in the database of the All Sky Automated Survey (ASAS), a sample of 72 typical examples is presented. Their period analysis was performed using…

Solar and Stellar Astrophysics · Physics 2015-06-22 I. Fuentes-Morales , N. Vogt

We have developed an interactive PYTHON code and derived crucial ephemeris data of 99.4% of all stars classified as 'Mira' in the ASAS data base, referring to pulsation periods, mean maximum magnitudes and, whenever possible, the amplitudes…

Variable stars, or particularly eclipsing binaries, are very essential astronomical occurrence. Surveys are the backbone of astronomy, and many discoveries of variable stars are the results of surveys. All-Sky Automated Survey (ASAS) is one…

Solar and Stellar Astrophysics · Physics 2015-06-16 Lidia Mayangsari , Rhorom Priyatikanto , Mahasena Putra

We present the results of a massive variability search based on a photometric survey of a six square degree region along the Galactic plane at ($l = 305^\circ$, $b = -0.8^\circ$) and ($l = 330^\circ$, $b = -2.5^\circ$). This survey was…

The stellar evolution theory of massive stars remains uncalibrated with high-precision photometric observational data mainly due to a small number of luminous stars that are monitored from space. Automated all-sky surveys have revealed…

Solar and Stellar Astrophysics · Physics 2017-02-08 Jaan Laur , Indrek Kolka , Tõnis Eenmäe , Taavi Tuvikene , Laurits Leedjärv
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