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Individual Star Sampling in Star Formation Simulations: A Semideterministic Model

  • Authors: Yunwei Deng, 云未 邓, Hui Li, 辉 李, Zhiqiang Yan, 智强 闫, Chuizheng Kong, 垂政 孔, Zhi-Yu Zhang, 智昱 张

Yunwei Deng et al 2026 The Astrophysical Journal Supplement Series 286 .

  • Provider: AAS Journals

Caption: Figure 2.

Schematic illustration of the semideterministic (SDT) stellar mass sampling method. At each FoF time step n, the most-massive allowed star ﹩{m}_{1}^{n}﹩ is determined from the IMF ξ(m) such that exactly one star occupies the mass interval ﹩[{m}_{1,{\rm{low}}}^{n},\,{m}_{{\rm{\max }}}^{n}]﹩, where ﹩{m}_{{\rm{\max }}}^{n}﹩ is set by the instantaneous cluster mass ﹩{M}_{{\rm{ecl}}}^{n}﹩. Left panel (Step n + 1): if an existing star already lies within the updated high-mass interval ﹩{m}_{1,{\rm{low}}}^{n+1}\lt m\lt {m}_{{\rm{\max }}}^{n+1}﹩, no new massive seed is formed. Instead, only stochastic sampling is performed below ﹩{m}_{1,{\rm{low}}}^{n+1}﹩, drawing stellar masses from the inverse cumulative IMF with an upper mass limit of ﹩{m}_{1,{\rm{low}}}^{n+1}﹩. Right panel (Step n + 2): if no star occupies the high-mass interval ﹩{m}_{1,{\rm{low}}}^{n+2}\lt m\lt {m}_{{\rm{\max }}}^{n+2}﹩, a new most-massive star of mass ﹩{m}_{1}^{n+2}﹩ is seeded at the identified density peak of the RsvP group. The remaining mass reservoir is then populated through stochastic sampling below ﹩{m}_{1,{\rm{low}}}^{n+2}﹩.

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