English

Clumpy Structures within the Turbulent Primordial Cloud

Astrophysics of Galaxies 2024-03-14 v4 Cosmology and Nongalactic Astrophysics

Abstract

The primordial clouds in the mini-halos hatch the first generation stars of the universe, which play a crucial role in cosmic evolution. In this paper, we investigate how the turbulence impacts the structure of primordial star-forming cloud. Previous cosmological simulations of the first star formation predicted a typical mass of around 100M\mathrm{ 100 \, M_\odot}, which conflicts with recent observations of extremely metal-poor stars suggesting a lower mass scale of around 25M\mathrm{25 \, M_\odot}. The discrepancy may arise from unresolved turbulence in the star-forming cloud, driven by primordial gas accretion during mini-halo formation in the previous simulation. To quantitatively examine the turbulence effect on the primordial cloud formation, we employ the adaptive mesh refinement code Enzo\mathtt{Enzo} to model the gas cloud with primordial composition, including artificial-driven turbulence on the cloud scale and relevant gas physics. This artificial-driven turbulence utilizes a stochastic forcing model to mimic the unresolved turbulence inside mini-halos. Our results show that turbulence with high Mach number and compressional mode effectively fragments the cloud into several clumps, each with dense cores of 22.7174.9M\mathrm{22.7 - 174.9 \, M_\odot} that undergo Jeans instability to form stars. Fragmentation caused by intense and compressive turbulence prevents the runaway collapse of the cloud. The self-bound clumps with smaller masses in turbulent primordial cloud suggest a possible pathway to decrease the theoretical mass scale of first stars, further reconciling the mass discrepancy between simulations and observations.

Keywords

Cite

@article{arxiv.2303.00751,
  title  = {Clumpy Structures within the Turbulent Primordial Cloud},
  author = {Ching-Yao Tang and Ke-Jung Chen},
  journal= {arXiv preprint arXiv:2303.00751},
  year   = {2024}
}

Comments

Accepted for publication in MNRAS. (14 pages, 10 figures, 2 tables)

R2 v1 2026-06-28T08:55:06.387Z