Unveiling subarcsecond multiplicity in the Pleiades with Gaia multicolor photometry
Dmitry Chulkov

TL;DR
This study uses Gaia multicolor photometry and astrometric data to identify and analyze subarcsecond binary systems in the Pleiades cluster, revealing a significant binary fraction among low-mass stars.
Contribution
It introduces a novel method leveraging Gaia photometric artifacts to detect close binary stars, including those with unreliable Gaia solutions, in the Pleiades cluster.
Findings
Identified 24 binary systems with 0.1-1 arcsec separation.
Determined a binary fraction of approximately 6%.
Validated findings with high-resolution observations.
Abstract
The list of 409 probable cluster members down to () is compiled for the two degree radius of the Pleiades, based on astrometric data from Gaia DR3 and the PPMXL catalog, along with several radial velocity surveys, including APOGEE and LAMOST. This approach allows for the inclusion of binary stars with unreliable Gaia solutions, thereby eliminating associated bias. Thus, the often-neglected 14 sources with Gaia two-parameter solutions are included. The subsequent analysis of color-magnitude and color-color diagrams exploits artifacts in Gaia photometric data, caused by the different field sizes used to measure fluxes in the , , and passbands, to reveal binary stars with subarcsecond angular separation. The findings are validated with prior high-resolution observations. Overall, cluster members with angular separation between…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomical Observations and Instrumentation · Astro and Planetary Science
