The TAOS Project Stellar Variability II. Detection of 15 Variable Stars
S. Mondal, C.C. Lin, W. P. Chen, Z.-W. Zhang, C. Alcock, T. Axelrod,, F. B. Bianco, Y.-I. Byun, N. K. Coehlo, K. H. Cook, R. Dave, D.-W. Kim, S.-K., King, T. Lee, M. J. Lehner, H.-C. Lin, S. L. Marshal, P. Protopapas, J. A., Rice, M. E. Schwamb, J.-H. Wang, S.-Y. Wang, C.-Y. Wen

TL;DR
This study analyzes TAOS survey data to identify and classify 15 previously unknown variable stars, demonstrating the survey's effectiveness in stellar variability detection over a large sky area.
Contribution
First detection and classification of 15 new variable stars using TAOS photometric data from a specific sky field.
Findings
Identified 81 candidate variables in a 3 square degree field.
Classified 29 variables, including RR Lyrae, Cepheid, delta Scuti, SX Phoenicis, semi-regular, and eclipsing binaries.
Discovered 15 previously unknown variable stars.
Abstract
The Taiwanese-American Occultation Survey (TAOS) project has collected more than a billion photometric measurements since 2005 January. These sky survey data-covering timescales from a fraction of a second to a few hundred days-are a useful source to study stellar variability. A total of 167 star fields, mostly along the ecliptic plane, have been selected for photometric monitoring with the TAOS telescopes. This paper presents our initial analysis of a search for periodic variable stars from the time-series TAOS data on one particular TAOS field, No. 151 (RA = 1767, Dec = 27\degr17\arcmin 30\arcsec, J2000), which had been observed over 47 epochs in 2005. A total of 81 candidate variables are identified in the 3 square degree field, with magnitudes in the range 8 < R < 16. On the basis of the periodicity and shape of the lightcurves, 29 variables, 15 of which were…
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