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Solar and Stellar Astrophysics · arXiv:2502.11593 v1 · submitted 17 Feb 2025

A population synthesis study of the Gaia 100 pc unresolved white dwarf-main sequence binary population

Alejandro Santos-García, Santiago Torres, Alberto Rebassa-Mansergas, Alex J. Brown

The paper says

“Additionally, our analysis constrains the common envelope efficiency to 0.1-0.4, consistent with previous findings, and estimates a total completeness of about 25% for the observed sample, confirming the strong observational limitations for unresolved WDMS.”

from the abstract · picked out as the main claim by a classifier

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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. The synthetic data accurately populate the expected regions in the Gaia color-magnitude diagram. However, simulations predict a lower number of extremely low-mass white dwarfs, suggesting potential issues in observed mass derivations. Additionally, our analysis constrains the common envelope efficiency to 0.1-0.4, consistent with previous findings, and estimates a total completeness of about 25% for the observed sample, confirming the strong observational limitations for unresolved WDMS.

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abstract compiled · 2026-09-23 · no language-model review

How the main claim is stated: asserted 0.78

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.67 · human participants 0.01 · controlled comparison 0.29 · randomized assignment 0.02 · states quantitative result 0.98 · compares with prior results 0.92 · mentions code or data availability 0.04

The abstract, sentence by sentence

This table labels the abstract only (arXiv listing abstract v1). The number is the probability the classifier gave the label.

SentenceRoleThe authors' own workStates the main conclusionStrength
Binary stars consisting of a white dwarf and a main sequence star (WDMS) are valuable for studying key astrophysical questions. background 1.00 0.05 0.02 asserted 1.00
However, observational biases strongly affect the known population, particularly unresolved systems where the main sequence star outshines the white dwarf. background 0.77 0.06 0.04 asserted 1.00
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. contribution 1.00 0.56 0.06 asserted 0.85
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. method 1.00 0.64 0.02 asserted 0.99
Selection criteria matching those of Gaia observations are applied to generate synthetic populations comparable to the observed WDMS sample. method 1.00 0.91 0.03 asserted 0.98
The synthetic data accurately populate the expected regions in the Gaia color-magnitude diagram. result 1.00 0.90 0.08 asserted 1.00
However, simulations predict a lower number of extremely low-mass white dwarfs, suggesting potential issues in observed mass derivations. result 0.58 0.90 0.17 hedged possibility 0.96
Additionally, our analysis constrains the common envelope efficiency to 0.1-0.4, consistent with previous findings, and estimates a total completeness of about 25% for the observed sample, confirming the strong observational limitations for unresolved WDMS. result 0.99 0.93 0.47 asserted 0.78

What kind of paper the classifier reports this is: simulation study 1.00 · evidence from simulation or computation 1.00

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  • C citations
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How the labels were made

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,326 input tokens.

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. This record as JSON

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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