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Published August 17, 2022 | Submitted
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Formation of proto-globular cluster candidates in cosmological simulations of dwarf galaxies at z > 4

Abstract

We perform cosmological hydrodynamical simulations to study the formation of proto-globular cluster candidates in progenitors of present-day dwarf galaxies (Mᵥᵢᵣ ≈ 10¹⁰ M_⊙ at z = 0) as part of the "Feedback in Realistic Environment" (FIRE) project. Compact (r_(1/2) < 30 pc), relatively massive (0.5 × 10⁵ ≲ M⋆/M_⊙ ≲ 5 × 10⁵), self-bound stellar clusters form at 11 ≳ z ≳ 5 in progenitors with Mᵥᵢᵣ ≈ 10⁹ M_⊙. Cluster formation is triggered when at least 10⁷ M_⊙ of dense, turbulent gas reaches Σ₉ₐₛ ≈ 10⁴. M_⊙ pc⁻² as a result of the compressive effects of supernova feedback or from cloud-cloud collisions. The clusters can survive for 2−3Gyr; absent numerical effects, they would likely survive substantially longer, perhaps to z = 0. The longest-lived clusters are those that form at significant distance -- several hundreds of pc -- from their host galaxy. We therefore predict that globular clusters forming in progenitors of present-day dwarf galaxies will be offset from any pre-existing stars within their host dark matter halos as opposed to deeply embedded within a well-defined galaxy. Properties of the nascent clusters are consistent with observations of some of the faintest and most compact high-redshift sources in Hubble Space Telescope lensing fields and are at the edge of what will be detectable as point sources in deep imaging of non-lensed fields with the James Webb Space Telescope. By contrast, the star clusters' host galaxies will remain undetectable.

Additional Information

Attribution 4.0 International (CC BY 4.0). MBK acknowledges support from NSF CAREER award AST-1752913, NSF grants AST-1910346 and AST-2108962, NASA grant NNX17AG29G, and HST-AR-15006, HST-AR-15809, HST-GO-15658, HST-GO-15901, HST-GO-15902, HST-AR-16159, and HST-GO-16226 from the Space Telescope Science Institute (STScI), which is operated by AURA, Inc., under NASA contract NAS5-26555. Support for PFH was provided by NSF Research Grants 1911233, 20009234, 2108318, NSF CAREER grant 1455342, and NASA grants 80NSSC18K0562 & HST-AR-15800. AW received support from: NSF grants CAREER 2045928 and 2107772; NASA ATP grant 80NSSC20K0513; HST grants AR-15809 and GO-15902 from STScI; a Scialog Award from the Heising-Simons Foundation; and a Hellman Fellowship. JSB was supported by NSF grant AST-1910346. EQ was supported in part by a Simons Investigator grant from the Simons Foundation and NSF AST grant 2107872. JS was supported by an NSF Astronomy and Astrophysics Postdoctoral Fellowship under award AST-2102729. DRW acknowledges support from HST-GO-15476, HST-GO-15901, HST-GO-15902, HST-AR-16159, and HST-GO-16226 from STScI. This work used the Extreme Science and Engineering Discovery Environment (XSEDE; Towns et al. 2014), via allocation AST140080, and the Frontera computing project at the Texas Advanced Computing Center (via allocations AST21010 and AST20016), which are supported by National Science Foundation awards ACI-1548562 and OAC-1818253, respectively. The analysis in this paper is carried out by python packages Numpy (Harris et al. 2020), matplotlib (Hunter 2007), scipy (Virtanen et al. 2020), and h5py (Collette 2013). DATA AVAILABILITY. The data supporting the plots within this article are available on reasonable request to the corresponding author.

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Additional details

Created:
August 20, 2023
Modified:
October 24, 2023