Monte Carlo population synthesis of post-common-envelope white dwarf binaries and type Ia supernova rate
Iminhaji Ablimit (NAOC), Keiichi Maeda (Kyoto Univ), Xiang-Dong Li, (Nanjing Univ)

TL;DR
This study uses Monte Carlo binary population synthesis to explore the evolution of white dwarf binaries and estimate the type Ia supernova rate, considering various physical assumptions and initial conditions.
Contribution
It introduces a comprehensive Monte Carlo BPS simulation framework with multiple assumptions on physical processes, providing new insights into WD binary populations and supernova progenitors.
Findings
Larger post-CE WD/MS binaries form with lambda_e energy parameter.
Orbital period and mass distributions are affected by input parameters.
The merger rate of double WDs is compared to the SNe Ia rate.
Abstract
Binary population synthesis (BPS) study provides a comprehensive way to understand evolutions of binaries and their end products. Close white dwarf (WD) binaries have crucial characteristics in examining in uence of yetunresolved physical parameters on the binary evolution. In this paper, we perform Monte Carlo BPS simulations, investigating the population of WD/main sequence (WD/MS) binaries and double WD binaries, with a publicly available binary star evolution code under 37 different assumptions on key physical processes and binary initial conditions. We considered different combinations of the binding energy parameter (lambda_g:considering gravitational energy only, lambda_b: considering both gravitational energy and internal energy, and lambda_e:considering gravitational energy, internal energy, and entropy of the envelope, the values of them derived with the MESA code), CE…
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