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We performed R-band time series observations of the young, metal rich open cluster NGC 2301 for 12 nights in Feb. 2004. B images were also obtained and color magnitude diagrams, having limits of R=19.5 and B=21.5, were produced. Only asmall…

We present a systematic search for variability among the ROSAT All-Sky Survey (RASS) X-ray sources. We generated lightcurves for about 30000 X-ray point sources detected sufficiently high above background. For our variability study…

Astrophysics · Physics 2009-11-07 B. Fuhrmeister , J. H. M. M. Schmitt

The sample of 37 485 suspected OB stars selected by Gontcharov (2008) from the Tycho-2 catalogue has been cleaned of the stars that are not of spectral types OV--A0V. For this purpose, the apparent magnitude $V_T$ from Tycho-2, the absolute…

Solar and Stellar Astrophysics · Physics 2016-07-01 George Gontcharov

As extensive ground-based observations and characterisation of different variable stars are of the utmost importance in preparing optimal input catalogues for space missions, our aim was to search for new variable stars in selected fields…

We proposed a machine learning approach to identify and distinguish dusty stellar sources employing supervised and unsupervised methods and categorizing point sources, mainly evolved stars, using photometric and spectroscopic data collected…

We are entering an era of unprecedented quantities of data from current and planned survey telescopes. To maximise the potential of such surveys, automated data analysis techniques are required. Here we implement a new methodology for…

This paper introduces a novel variability report generator developed for the Large Array Survey Telescope (LAST), a cost-effective multi-purpose telescope array conducting a wide survey of the variable sky in the visible-light spectrum.…

Instrumentation and Methods for Astrophysics · Physics 2023-09-06 Barkotel Zemenu

We propose an object detection algorithm which is efficient and fast enough to be used in (almost) real time with the limited computer capacities onboard satellites. For stars below the saturation limit of the CCD detectors it is based on a…

The Dark Energy Camera (DECam) is a sensitive, wide field instrument mounted at the prime focus of the 4 m V. Blanco Telescope in Chile. Beside its main objectives, i.e. understanding the growth and evolution of structures in the Universe,…

Solar and Stellar Astrophysics · Physics 2023-04-18 A. Franco , A. A. Nucita , F. De Paolis , F. Strafella , S. Sacquegna

Photographic plates of the globular cluster M10 (NGC 6254) that were recorded at the Dominion Astrophysical Observatory between 1931 and 1934 have been digitized with a commercial scanner. The plates have numerous cosmetic issues, and the…

Solar and Stellar Astrophysics · Physics 2025-09-08 T. J. Davidge

The spectroscopic and photometric analysis of sample Am stars are carried out to determine the stellar characteristics of each studied star. The CCD photometric analysis of HD 98851 and HD 207561 show clear evidence of pulsation variability…

Solar and Stellar Astrophysics · Physics 2019-09-17 Gireesh C. Joshi

Stars exhibit a range of variability periods that depend on their mass, age, and evolutionary stage. For space-based photometric data, convolutional neural networks (CNNs) have demonstrated success in recovering and measuring periodic…

Solar and Stellar Astrophysics · Physics 2025-12-24 Meir E. Schochet , Penelope Planet , Zachary R. Claytor , Jamie Tayar , Adina D. Feinstein

We have performed a careful investigation of the 74 candidate variable stars presented by Safanova & Stalin (2011). For this purpose we used our data base of imaging and light curves from Arellano Ferro et al. (2011) and Arellano Ferro et…

Solar and Stellar Astrophysics · Physics 2015-06-05 D. M. Bramich , A. Arellano Ferro , R. Figuera Jaimes , Sunetra Giridhar

The fast classification of new variable stars is an important step in making them available for further research. Selection of science targets from large databases is much more efficient if they have been classified first. Defining the…

Astrophysics · Physics 2009-11-13 J. Debosscher , L. M. Sarro , C. Aerts , J. Cuypers , B. Vandenbussche , R. Garrido , E. Solano

With the availability of large-scale surveys like Kepler and TESS, there is a pressing need for automated methods to classify light curves according to known classes of variable stars. We introduce a new algorithm for classifying light…

Solar and Stellar Astrophysics · Physics 2022-06-30 Nicholas H. Barbara , Timothy R. Bedding , Ben D. Fulcher , Simon J. Murphy , Timothy Van Reeth

We adapt the friends of friends algorithm to the analysis of light curves, and show that it can be successfully applied to searches for transient phenomena in large photometric databases. As a test case we search OGLE-III light curves for…

Solar and Stellar Astrophysics · Physics 2018-10-24 M. Rozyczka , W. Narloch , P. Pietrukowicz , I. B. Thompson , W. Pych

We report the results of a diffraction-limited, photometric variability study of the central 5"x5" of the Galaxy conducted over the past 10 years using speckle imaging techniques on the W. M. Keck I 10 m telescope. Within our limiting…

Astrophysics · Physics 2008-11-26 M. Rafelski , A. M. Ghez , S. D. Hornstein , J. R. Lu , M. Morris

M71 is a nearby, metal-rich globular cluster at low Galactic latitude, where field contamination and spatially variable extinction complicate colour-magnitude diagrams (CMDs) and the identification of cluster member variable stars. Our aims…

Astrophysics of Galaxies · Physics 2026-05-13 C. C. Cortés , D. Deras , A. Arellano Ferro , S. Muneer , I. H. Bustos Fierro

The light curves of variable stars are commonly described using simple trigonometric models, that make use of the assumption that the model parameters are constant in time. This assumption, however, is often violated, and consequently, time…

Instrumentation and Methods for Astrophysics · Physics 2015-05-30 J. Pelt , N. Olspert , M. J. Mantere , I. Tuominen

We report on the automated classification of Hipparcos variable stars by a supervised classification algorithm known as Support Vector Machines. The dataset comprised about 3200 stars, each characterized by 51 features. These are the B-V…

Astrophysics · Physics 2007-12-19 P. G. Willemsen , L. Eyer
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