PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 1, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Evolution of Massive Main-sequence Stars in Rapid Population Synthesis. I. Framework and Implementation

View Full Paper
ABAdam BrčekRHRyosuke HiraiIMIlya Mandel

Key Points

  • This research aims to enhance the understanding of massive star evolution during the main sequence phase by developing a new modeling framework.
  • Developed a framework for main sequence evolution implemented in the COMPAS code.
  • Utilized a semianalytical model to analyze mass-loss and mass-gain effects on massive stars.
  • Included factors such as stellar rejuvenation and mergers in the analysis.
  • The framework predicts more massive helium cores at terminal-age main sequence compared to previous models.
  • Stripped main sequence stars are shown to have more compact radii.
  • The new approach yields systematically higher black hole masses than traditional methods.

Abstract

Abstract Stars spend most of their lifetime on the main sequence (MS), where hydrogen burning establishes the internal chemical structure that governs the subsequent evolution. In massive stars, mass loss through winds and binary interactions can significantly modify this structure during the MS. We present a new MS evolution framework suitable for rapid binary population synthesis, implemented in the COMPAS code. Building on the semianalytical model of Shikauchi et al., our framework captures the evolution of the convective core on the MS under arbitrary mass-loss or mass-gain histories, including a treatment for stellar rejuvenation and MS mergers. This new framework yields more massive helium cores at terminal-age MS, more compact radii in stripped MS stars, and systematically higher black hole masses than commonly used prescriptions. By providing a more realistic treatment of MS evolution, this framework improves the physical consistency of massive stars and binary evolution in rapid population synthesis.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Brček et al. (2026) studied this question.

synapsesocial.com/papers/69f44223967e944ac5565df4https://doi.org/10.3847/1538-4357/ae5b76
Ask AI
Helpful
Bookmark
Share
View Full Paper