Eclipsing binary populations across the northern Galactic plane from the KISOGP survey

Fangzhou Ren, Richard de Grijs, Huawei Zhang, Licai Deng, Xiaodian Chen, Noriyuki Matsunaga, Chao Liu, Weijia Sun, Hiroyuki Maehara, Nobuharu Ukita, Naoto Kobayashi

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    Abstract

    We present a catalog of eclipsing binaries in the northern Galactic plane from the Kiso Wide-Field Camera Intensive Survey of the Galactic Plane (KISOGP). We visually identified 7055 eclipsing binaries spread across ~330 deg2, including 4197 W Ursa Majoris/EW-type, 1458 β Lyrae/EB-type, and 1400 Algol/EA-type eclipsing binaries. For all systems, I-band light curves were used to obtain accurate system parameters. We derived the distances and extinction values for the EW-type objects from their period–luminosity relation. We also obtained the structure of the thin disk from the distribution of our sample of eclipsing binary systems, combined with those of high-mass star-forming regions and Cepheid tracers. We found that the thin disk is inhomogeneous in number density as a function of Galactic longitude. Using this new set of distance tracers, we constrain the detailed structure of the thin disk. Finally, we report a global parallax zero-point offset of Δπ = −42.1 ± 1.9 (stat.) ± 12.9 (syst.) μas between our carefully calibrated EW-type eclipsing binary positions and those provided by Gaia Early Data Release 3. Implementation of the officially recommended parallax zero-point correction results in a significantly reduced offset. Additionally, we provide a photometric characterization of our EW-type eclipsing binaries that can be applied to further analyses.
    Original languageEnglish
    Article number176
    Number of pages14
    JournalThe Astronomical Journal
    Volume161
    Issue number4
    DOIs
    Publication statusPublished - 1 Apr 2021

    Bibliographical note

    Copyright 2021 The American Astronomical Society. First published in the Astronomical Journal, 161(4), 176, 2021, published by IOP Publishing. The original publication is available at https://doi.org/10.3847/1538-3881/abe30e. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

    Keywords

    • machine-readable tables

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