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Tracing the galaxy-halo connection with galaxy clustering in COSMOS-Web from z = 0.1 to z ~ 12

Louise Paquereau, Clotilde Laigle, Henry Joy McCracken, Marko Shuntov, Olivier Ilbert, Hollis B. Akins, Natalie Allen, Rafael Arango- Togo, Eddie M. Berman, Matthieu Bethermin, Caitlin M. Casey, Jacqueline McCleary, Yohan Dubois, Nicole E. Drakos, Andreas L. Faisst, Maximilien Franco, Santosh Harish, Christian K. Jespersen, Jeyhan S. Kartaltepe, Anton M. Koekemoer, Vasily Kokorev, Erini Lambrides, Rebecca Larson, Daizhong Liu, Damien Le Borgne, Joseph S. W. Lewis, Jed McKinney, Wilfried Mercier, Jason D. Rhodes, Brant E. Robertson, Sune Toft, Maxime Trebitsch, Laurence Tresse, John R. Weaver

TL;DR

This work uses mass-limited galaxy clustering from the COSMOS-Web JWST survey to map the galaxy–halo connection from $z \sim 0.1$ to $z \sim 12$ via halo occupation distribution modeling. By incorporating a non-linear scale-dependent halo bias, it achieves improved fits to clustering data, deriving characteristic halo masses and a redshift-evolving stellar-to-halo mass relationship (SHMR). The study finds unusually high star-formation efficiencies at $z \gtrsim 8$, ambiguous behavior of the SHMR around $z \sim 2-3$, and generally good agreement with semi-empirical models like UniverseMachine but persistent tensions with some hydrodynamical simulations. These results imply bursty, feedback-free star formation in the early universe followed by increasing feedback and halo growth, providing crucial constraints for galaxy formation theories and future simulations.

Abstract

We explore the evolving relationship between galaxies and their dark matter halos from $z \sim 0.1$ to $z \sim 12$ using mass-limited angular clustering measurements in the 0.54 deg$^2$ of the COSMOS-Web survey. This study provides the first measurements of the mass-limited two-point correlation function at $z \ge 10$ and a consistent analysis spanning 13.4 Gyr of cosmic history, setting new benchmarks for future simulations and models. Using a halo occupation distribution (HOD) framework, we derive characteristic halo masses and the stellar-to-halo mass relationship (SHMR) across redshifts and stellar mass bins. Our results first indicate that HOD models fit data at $z \ge 2.5$ best when incorporating a non-linear scale-dependent halo bias, boosting clustering at non-linear scales (r = 10-100 kpc). We find that galaxies at z > 10.5 with $\log(M_\star / M_\odot) \ge 8.85$ are hosted by halos with $M_{\rm h} \sim 10^{10.5}\,M_\odot$, achieving a star formation efficiency (SFE) $M_\star / (f_b M_{\rm h}) $ up to 1 dex higher than at $z \le 1$. The high galaxy bias at $z \ge 8$ suggests that these galaxies reside in massive halos with intrinsic high SFE. Our SHMR evolves significantly with redshift, starting high at $z \ge 10.5$, decreasing until $z \sim 2 - 3$, then increasing again until the present. Current simulations fail to reproduce both massive high-$z$ galaxies and this evolution, while semi-empirical models linking SFE to halo mass, accretion rates, and redshift align with our findings. We propose that $z > 8$ galaxies experience bursty star formation without significant feedback altering their growth, driving the rapid growth of massive galaxies observed by JWST. Over time, increasing feedback efficiency and exponential halo growth suppress star formation. At $z \sim 2 - 3$ and after, halo growth slows down while star formation continues, supported by gas reservoirs in halos.

Tracing the galaxy-halo connection with galaxy clustering in COSMOS-Web from z = 0.1 to z ~ 12

TL;DR

This work uses mass-limited galaxy clustering from the COSMOS-Web JWST survey to map the galaxy–halo connection from to via halo occupation distribution modeling. By incorporating a non-linear scale-dependent halo bias, it achieves improved fits to clustering data, deriving characteristic halo masses and a redshift-evolving stellar-to-halo mass relationship (SHMR). The study finds unusually high star-formation efficiencies at , ambiguous behavior of the SHMR around , and generally good agreement with semi-empirical models like UniverseMachine but persistent tensions with some hydrodynamical simulations. These results imply bursty, feedback-free star formation in the early universe followed by increasing feedback and halo growth, providing crucial constraints for galaxy formation theories and future simulations.

Abstract

We explore the evolving relationship between galaxies and their dark matter halos from to using mass-limited angular clustering measurements in the 0.54 deg of the COSMOS-Web survey. This study provides the first measurements of the mass-limited two-point correlation function at and a consistent analysis spanning 13.4 Gyr of cosmic history, setting new benchmarks for future simulations and models. Using a halo occupation distribution (HOD) framework, we derive characteristic halo masses and the stellar-to-halo mass relationship (SHMR) across redshifts and stellar mass bins. Our results first indicate that HOD models fit data at best when incorporating a non-linear scale-dependent halo bias, boosting clustering at non-linear scales (r = 10-100 kpc). We find that galaxies at z > 10.5 with are hosted by halos with , achieving a star formation efficiency (SFE) up to 1 dex higher than at . The high galaxy bias at suggests that these galaxies reside in massive halos with intrinsic high SFE. Our SHMR evolves significantly with redshift, starting high at , decreasing until , then increasing again until the present. Current simulations fail to reproduce both massive high- galaxies and this evolution, while semi-empirical models linking SFE to halo mass, accretion rates, and redshift align with our findings. We propose that galaxies experience bursty star formation without significant feedback altering their growth, driving the rapid growth of massive galaxies observed by JWST. Over time, increasing feedback efficiency and exponential halo growth suppress star formation. At and after, halo growth slows down while star formation continues, supported by gas reservoirs in halos.
Paper Structure (36 sections, 24 equations, 17 figures, 3 tables)

This paper contains 36 sections, 24 equations, 17 figures, 3 tables.

Figures (17)

  • Figure 1: Top: Galaxy number counts for COSMOS-Web and PRIMER-COSMOS, and the fitted power law in the range $23.0 \le \textrm{m}_{\textrm{F444W}} \le 27.0$ (dashed line). Bottom: Magnitude completeness for COSMOS-Web and PRIMER-COSMOS, defined respectively as the ratio of number counts in COSMOS-Web over PRIMER-COSMOS and as the number counts in PRIMER-COSMOS over the fitted power law. The dotted black line shows the magnitude cut for COSMOS-Web where completeness falls to 80%, used for this work.
  • Figure 2: Stellar mass distribution as a function of redshift of COSMOS-Web sources, with the mass completeness limits for COSMOS-Web in green and COSMOS2020 in blue as given in weaver_cosmos2020_2022. All galaxies after magnitude filtering only are shown. Redshift bins and stellar mass thresholds, used for clustering measurements, are also represented in solid purple lines.
  • Figure 3: Stack of PDF(z) in our two highest redshift bins for galaxies selected either by $z_{\rm PDF}$, $z_{\rm chi2}$, or both. Thin lines are stacks of 15 galaxies and solid lines of 50 galaxies.
  • Figure 4: Number counts of galaxies in our two highest redshift bins after the different cleaning steps applied one after the other. The top bar (dark colors) represents galaxies selected by $z_{\rm PDF}$, and the bottom bar (light colors) $z_{\rm chi2}$-selected galaxies.
  • Figure 5: Redshift distributions for galaxies above the stellar mass completeness limit, in the redshift bins chosen for this work.
  • ...and 12 more figures