Detailed Information on Publication Record
2017
Search for variables in six Galactic open clusters
PAUNZEN, Ernst, Gerald HANDLER, Monika LENDL, Bernhard BAUMANN, Christian RAB et. al.Basic information
Original name
Search for variables in six Galactic open clusters
Authors
PAUNZEN, Ernst (40 Austria, guarantor, belonging to the institution), Gerald HANDLER (40 Austria), Monika LENDL (40 Austria), Bernhard BAUMANN (40 Austria), Christian RAB (40 Austria), Stefan MEINGAST (40 Austria), Monika RODE-PAUNZEN (40 Austria), Martin NETOPIL (40 Austria, belonging to the institution), Victoria ANTOCI (40 Austria), Liying ZHU (156 China), Miloslav ZEJDA (203 Czech Republic, belonging to the institution) and Hrvoje BOZIC (191 Croatia)
Edition
New Astronomy, AMSTERDAM, Elsevier Science, 2017, 1384-1076
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10308 Astronomy
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 0.920
RIV identification code
RIV/00216224:14310/17:00094648
Organization unit
Faculty of Science
UT WoS
000390514400015
Keywords in English
Stars: variables: general; Open clusters and associations: general
Tags
International impact, Reviewed
Změněno: 11/4/2018 21:04, Ing. Nicole Zrilić
Abstract
V originále
Variables in open cluster (known distance, age, and metallicity) fields play an important role in stellar astrophysics because they allow to investigate the interior of stars. Therefore, six Galactic open clusters were selected to search for new variables and to complement data for already known variables. As five of these clusters are younger than 40 Myr, we aim at finding variable high-mass stars such as beta Cephei and Slowly Pulsating B-type stars as well as classical pulsating stars within the instability strip. About 26 000 images (312 h) photometric images were taken at the 0.8 m (Vienna, Austria) and 1.0 m (Hvar, Croatia) telescope using V and I filters. The differential light curves were analyzed with standard time series analysis methods. In total, 11 variables were found in all investigated clusters. For nine of them, we were able to determine their nature and period. In addition, the membership probabilities from the literature were analyzed. (C) 2016 Elsevier B.V. All rights reserved.
Links
GP14-26115P, research and development project |
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