Issue |
A&A
Volume 674, June 2023
Gaia Data Release 3
|
|
---|---|---|
Article Number | A19 | |
Number of page(s) | 12 | |
Section | Catalogs and data | |
DOI | https://doi.org/10.1051/0004-6361/202243626 | |
Published online | 16 June 2023 |
Gaia Data Release 3
Ellipsoidal variables with possible black hole or neutron star secondaries⋆
1
School of Physics and Astronomy, Tel Aviv University, Tel Aviv 6997801, Israel
e-mail: roygomel6@gmail.com
2
Department of Astronomy, University of Geneva, Chemin Pegasi 51, 1290 Versoix, Switzerland
3
Department of Astronomy, University of Geneva, Chemin d’Ecogia 16, 1290 Versoix, Switzerland
4
Warsaw University Astronomical Observatory Department of Physics, Al. Ujazdowskie 4, 00-478 Warszawa, Poland
Received:
24
March
2022
Accepted:
10
June
2022
As part of Gaia Data Release 3, a large number of ellipsoidal variables were identified with supervised classification. The periodic variability of these ellipsoidals is presumably induced by tidal interaction with a companion in a close binary system. We present 6306 short-period probable ellipsoidal variables with relatively large-amplitude Gaia G-band photometric modulations that indicate a possible massive, undetected secondary. In case of a main-sequence primary, the more massive secondary is probably a compact object – either a black hole or a neutron star, and sometimes a white dwarf. The identification is based on the recently suggested robust modified minimum mass ratio (mMMR) that was derived from the observed ellipsoidal amplitude alone, without the use of the primary mass or radius. We also list a subset of 262 systems with an mMMR higher than unity, for which the probability of a compact secondary is higher. Follow-up observations are needed to verify the true nature of these variables.
Key words: methods: data analysis / techniques: photometric / binaries : close / stars: black holes / stars: neutron / stars: variables: general
Full Table 3 is only available at the CDS via anonymous ftp to cdsarc.cds.unistra.fr (130.79.128.5) or via https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/674/A19
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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