Zero Metallicity with Zero CPU Hours: Masses of the First Stars on the Laptop

被引:4
|
作者
Gurian, James [1 ,2 ,3 ]
Jeong, Donghui [1 ,2 ,4 ]
Liu, Boyuan [5 ]
机构
[1] Penn State Univ, Inst Gravitat & Cosmos, University Pk, PA 16802 USA
[2] Penn State Univ, Dept Astron & Astrophys, University Pk, PA 16802 USA
[3] Perimeter Inst Theoret Phys, Waterloo, ON N2L 2Y5, Canada
[4] Korea Inst Adv Study KIAS, Sch Phys, 85 Hoegiro, Seoul 02455, South Korea
[5] Univ Cambridge, Inst Astron, Madingley Rd, Cambridge CB3 0HA, England
来源
ASTROPHYSICAL JOURNAL | 2024年 / 963卷 / 01期
关键词
RADIATIVE FEEDBACK; PRIMORDIAL STARS; COOLING FUNCTION; FRAGMENTATION; CHEMISTRY; BINARIES; H-2; EVOLUTION; COLLAPSE; NUMBER;
D O I
10.3847/1538-4357/ad1e5b
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We develop an analytic model for the mass of the first stars forming in the centers of primordial gas clouds as a function of host halo mass, redshift, and degree of rotation. The model is based on the estimation of key timescales determining the following three processes: the collapse of the gas cloud, the accretion onto the protostellar core, and the radiative feedback of the protostellar core. The final stellar mass is determined by the total mass accreted until the radiative feedback halts the accretion. The analytic estimation, motivated by the result of the full numerical simulations, leads to algebraic expressions allowing an extremely fast execution. Despite its simplicity, the model reproduces the stellar mass scale and its parameter dependencies observed in state-of-the-art cosmological zoom-in simulations. This work clarifies the basic physical principles undergirding such numerical treatments and provides a path to efficiently calibrating numerical predictions against eventual observations of the first stars.
引用
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页数:12
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