New Variable Stars Discovered by Data Mining Images Taken During Recent Asteroid Photometric Observations. Results from the Year 2015

Volume 43 number 2 (2015)

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Riccardo Papini
Carpione Observatory (K49), via Potente 52, San Casciano in val di Pesa, Florence, 50026, Italy; riccardo.papini@yahoo.it
Lorenzo Franco
Balzaretto Observatory (A81), Rome, Italy; lor_franco@libero.it
Alessandro Marchini
Astronomical Observatory, DSFTA, University of Siena (K54), via Roma 56, Siena, 53100, Italy; alessandro.marchini@unisi.it
Fabio Salvaggio
Saronno, 21047, Italy; fsalvaggio@gmail.com

Abstract

During the past year the authors observed several asteroids for the purpose of determining the rotational period. Typically, this task requires a time series images acquisition on a single field for all the night, weather permitting, for a few nights although not consecutive. Routinely checking this “goldmine,” allowed us to discover 14 variable stars not yet listed in catalogs or databases. While the most of the new variables are eclipsing binaries (GSC 01394-01889, GSC 00853-00371, CSS_J171124.7-004042, GSC05065-00218, UCAC4-386-142199, UCAC4 398-127457, UCAC4 384-148138, UCAC4 398-127590, UCAC4-383-155837, GSC-05752-01113, GSC 05765-01271), a few belong to RR Lyrae class (UCAC4 388-136835, 2MASS J20060657-1230376, UCAC4 386-142583). Since asteroid work is definitely time-consuming, follow-up is quite a difficult task for a small group. Further observations of these new variables are therefore strongly encouraged in order to better characterize these stars, especially RR Lyrae ones whose data combined with those taken during professional surveys seem to suggest the presence of a Blazhko effect.