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Published December 2022 | public
Journal Article

Gaia spectroscopic orbits validated with LAMOST and GALAH radial velocities

Abstract

The recently published Gaia DR3 catalogue of 181327 spectroscopic binaries (SB) includes the Keplerian elements of each orbit but not the measured radial velocities (RVs) and their epochs. Instead, the catalogue lists a few parameters that characterize the robustness of each solution. In this work, we use two external sources to validate the orbits – 17563 LAMOST DR6 and 6018 GALAH DR3 stars with measured RVs that have Gaia-SB orbits. We compare the expected RVs, based on the Gaia orbits, with the LAMOST and GALAH measurements. Finding some orbits that are inconsistent with these measurements, we constructed a function that estimates the probability of each of the Gaia orbits to be correct, using the published robust parameters. We devise a clean but still very large Gaia single-lined spectroscopic binaries (SB1) sample of 91740 orbits. The sample differs from the parent sample by the absence of – physically unlikely and hence presumably spurious – short-period binaries with high eccentricity. The clean SB1 sample offers the prospect of thorough statistical studies of the binary population after carefully modelling the remaining selection effects. At the first look, two possible features emerge from the clean sample – a paucity of short-period binaries with low-mass primaries, which might be a result of some observational bias, and a subsample of main-sequence binaries on circular orbits, probable evidence for circularization processes.

Additional Information

© 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). We wish to thank Zephyr Penoyre, the reviewer of this work, for the thoughtful comments and suggestions that helped us to substantially improve the original manuscript. This research was supported by Grant No. 2016069 of the United States-Israel Binational Science Foundation (BSF) and by Grant No. I-1498-303.7/2019 of the German-Israeli Foundation for Scientific Research and Development (GIF) to TM and HWR. The research of SS is supported by a Benoziyo prize postdoctoral fellowship. SD acknowledge support from the National Key R&D Program of China (No. 2019YFA0405100), the National Natural Science Foundation of China (grant No. 12133005) and the XPLORER PRIZE. This work has used data from the European Space Agency (ESA) mission Gaia (http://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, http://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. Guoshoujing Telescope (the Large Sky Area Multi-Object Fiber Spectroscopic Telescope LAMOST) is a National Major Scientific Project built by the Chinese Academy of Sciences. Funding for the project has been provided by the National Development and Reform Commission. LAMOST is operated and managed by the National Astronomical Observatories, Chinese Academy of Sciences. This work used the Third Data Release of the GALAH Survey (Buder et al. 2021). The GALAH Survey is based on data acquired through the Australian Astronomical Observatory, under programs: A/2013B/13 (The GALAH pilot survey); A/2014A/25, A/2015A/19, A2017A/18 (The GALAH survey phase 1); A2018A/18 (Open clusters with HERMES); A2019A/1 (Hierarchical star formation in Ori OB1); A2019A/15 (The GALAH survey phase 2); A/2015B/19, A/2016A/22, A/2016B/10, A/2017B/16, A/2018B/15 (The HERMES-TESS program); and A/2015A/3, A/2015B/1, A/2015B/19, A/2016A/22, A/2016B/12, A/2017A/14 (The HERMES K2-follow-up program). We acknowledge the traditional owners of the land on which the AAT stands, the Gamilaraay people, and pay our respects to elders past and present. This paper includes data that have been provided by AAO Data Central (datacentral.org.au). This research made use of astropy,5 a community-developed core Python package for Astronomy (Astropy Collaboration 2013, 2018), topcat tool, described in Taylor (2005), and the cross-match service provided by CDS, Strasbourg. DATA AVAILABILITY. Data used in this study are available upon request from the corresponding author.

Additional details

Created:
August 22, 2023
Modified:
October 24, 2023