Results 21 to 30 of about 4,932,223 (296)
Sparse Logistic Regression for RR Lyrae versus Binaries Classification
The Astrophysical Journal, 2023 RR Lyrae (RRL) stars are old, low-mass, radially pulsating variable stars in their core helium burning phase. They are popular stellar tracers and primary distance indicators since they obey well-defined period–luminosity relations in the near-infrared ...
Piero Trevisan +6 more
doaj +1 more source
The ASAS-SN catalogue of variable stars – IV. Periodic variables in the APOGEE survey [PDF]
Monthly notices of the Royal Astronomical Society, 2019 We explore the synergy between photometric and spectroscopic surveys by searching for periodic variable stars among the targets observed by the Apache Point Observatory Galactic Evolution Experiment (APOGEE) using photometry from the All-Sky Automated ...
M. Pawlak +14 more
semanticscholar +1 more source
Odessa Astronomical Publications, 2017 Measurements of brightness of stars 1AL Ari, FM Leo, LL Aqr, V1125 Tau, V1366 Ori opened in ”HIPPARCOS” experiment are carried out using negatives of the Odessa observatory.
A. P. Solonovich +2 more
doaj +1 more source
A DECam view of the diffuse dwarf galaxy Crater II – Variable stars [PDF]
Monthly notices of the Royal Astronomical Society, 2019 Time series observations of a single dithered field centred on the diffuse dwarf satellite galaxy Crater II were obtained with the Dark Energy Camera (DECam) at the 4m Blanco Telescope at Cerro Tololo Inter-American Observatory, Chile, uniformly ...
A. K. Vivas +13 more
semanticscholar +1 more source
THE INVESTIGATION OF THE CLASSICAL CEPHEID RT Aur PERIOD
Odessa Astronomical Publications, 2017 The outcomes of the research into RT Aur period for the last 93 years are given in the article. New elements of changes in RT Aur brightness have been determined by the authors: J.D.max=2447890,265+3.7283116*E.
A. S. Kosinsky +5 more
doaj +1 more source
A recurrent neural network for classification of unevenly sampled variable stars [PDF]
Nature Astronomy, 2017 Astronomical surveys of celestial sources produce streams of noisy time series measuring flux versus time (‘light curves’). Unlike in many other physical domains, however, large (and source-specific) temporal gaps in data arise naturally due to ...
Brett Naul +3 more
semanticscholar +1 more source
Odessa Astronomical Publications, 2017 Measurements of brightness of stars TX Crv, DP Cam, IRAS 17583+5150 opened in "IRAS" and "HIPPARCOS" experiments are carried out using negatives of the Odessa observatory.
A. P. Solonovich +2 more
doaj +1 more source
Deep multi-survey classification of variable stars [PDF]
Monthly notices of the Royal Astronomical Society, 2018 During the last decade, a considerable amount of effort has been made to classify variable stars using different machine learning techniques. Typically, light curves are represented as vectors of statistical descriptors or features that are used to train
Carlos Aguirre, K. Pichara, I. Becker
semanticscholar +1 more source
SOME RESULTS OF THE U CrB OBSERVATIONS IN 1856 - 2007
Odessa Astronomical Publications, 2017 Historical results over of photometry of eclipsing variable star U CrB (type of EA / SD) are brought after 1856 - 2007. Authors suppose that in the system U CrB there is a trade-out by a substance between components.
V. D. Grigorenko +3 more
doaj +1 more source
Gaia Data Release 2: Variable stars in the colour-absolute magnitude diagram [PDF]
, 2018 The ESA Gaia mission provides a unique time-domain survey for more than 1.6 billion sources with G ~ 21 mag. We showcase stellar variability across the Galactic colour-absolute magnitude diagram (CaMD), focusing on pulsating, eruptive, and cataclysmic ...
L. Eyer +134 more
semanticscholar +1 more source