Gaia Data Release 3: Ellipsoidal variables with possible black hole or neutron star secondaries

R. Gomel*, T. Mazeh, S. Faigler, D. Bashi, L. Eyer, L. Rimoldini, M. Audard, N. Mowlavi, B. Holl, G. Jevardat, K. Nienartowicz, I. Lecoeur, L. Wyrzykowski

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

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.

Original languageEnglish
Article numberA19
JournalAstronomy and Astrophysics
Volume674
DOIs
StatePublished - 1 Jun 2023

Funding

FundersFunder number
European Space Agency
Centre National d’Etudes Spatiales
Staatssekretariat für Bildung, Forschung und Innovation
Belgian Federal Science Policy Office
German-Israeli Foundation for Scientific Research and Development
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Activités Nationales Complémentaires
European Research Council
Istituto Nazionale di Astrofisica
Agenzia Spaziale ItalianaI/058/10/0, 2014-025-R.0, I/037/08/0, 2014-025-R.1.2015
United States-Israel Binational Science FoundationI-1498-303.7/2019
European Union’s Horizon 2020 research and innovation programme670519

    Keywords

    • Binaries: close
    • Methods: data analysis
    • Stars: black holes
    • Stars: neutron
    • Stars: variables: general
    • Techniques: photometric

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