A population synthesis study of the Gaia 100 pc unresolved white dwarf-main sequence binary population
Alejandro Santos-Garc\'ia, Santiago Torres, Alberto Rebassa-Mansergas, and Alex J. Brown

TL;DR
This study uses population synthesis simulations to analyze unresolved white dwarf-main sequence binaries within 100 pc, comparing results with Gaia data to understand observational biases and binary evolution parameters.
Contribution
It introduces a comprehensive Monte Carlo-based population synthesis model for unresolved WDMS binaries and constrains key evolutionary parameters using Gaia data comparison.
Findings
Synthetic populations match Gaia color-magnitude regions
Predicted low-mass white dwarf numbers are lower than observed
Estimated sample completeness is about 25%
Abstract
Binary stars consisting of a white dwarf and a main sequence star (WDMS) are valuable for studying key astrophysical questions. However, observational biases strongly affect the known population, particularly unresolved systems where the main sequence star outshines the white dwarf. This work aims to comprehensively simulate the population of unresolved WDMS binaries within 100 pc of the Sun and to compare the outcome with the currently most complete volume-limited sample available from Gaia data. We employ a population synthesis code, MRBIN, extensively developed by our group and based on Monte Carlo techniques, which uses a standard binary stellar evolutionary code adapted to cover a wide range of stars across all ages, masses, and metallicities. Selection criteria matching those of Gaia observations are applied to generate synthetic populations comparable to the observed WDMS sample.…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astro and Planetary Science · Astronomy and Astrophysical Research
