English

Characterizing Protoclusters and Protogroups at z $\sim$ 2.5 Using Ly$\alpha$ Tomography

Astrophysics of Galaxies 2022-05-14 v2 Cosmology and Nongalactic Astrophysics

Abstract

Ly-α\alpha tomography surveys have begun to produce three-dimensional (3D) maps of the intergalactic medium (IGM) opacity at z2.5z \sim 2.5 with Mpc resolution. These surveys provide an exciting new way to discover and characterize high-redshift overdensities, including the progenitors of today's massive groups and clusters of galaxies, known as protogroups and protoclusters. We use the IllustrisTNG-300300 hydrodynamical simulation to build mock maps that realistically mimic those observed in the Ly-α\alpha Tomographic IMACS Survey (LATIS). We introduce a novel method for delineating the boundaries of structures detected in 3D Ly-α\alpha flux maps by applying the watershed algorithm. We provide estimators for the dark matter masses of these structures (at z2.5z\sim2.5), their descendant halo masses at z=0z=0, and the corresponding uncertainties. We also investigate the completeness of this method for the detection of protogroups and protoclusters. Compared to earlier work, we apply and characterize our method over a wider mass range that extends to massive protogroups. We also assess the widely used fluctuating Gunn-Peterson approximation (FGPA) applied to dark-matter-only simulations; we conclude while it is adequate for estimating the Ly-α\alpha absorption signal from moderate-to-massive protoclusters (1014.2M \gtrsim 10^{14.2} M_{\odot}), it artificially merges a minority of lower-mass structures with more massive neighbors. Our methods will be applied to current and future Ly-α\alpha~tomography surveys to create catalogs of overdensities and study environment-dependent galaxy evolution in the Cosmic~Noon~era.

Keywords

Cite

@article{arxiv.2112.03930,
  title  = {Characterizing Protoclusters and Protogroups at z $\sim$ 2.5 Using Ly$\alpha$ Tomography},
  author = {Mahdi Qezlou and Andrew B. Newman and Gwen C. Rudie and Simeon Bird},
  journal= {arXiv preprint arXiv:2112.03930},
  year   = {2022}
}

Comments

18 pages, 18 figures, codes available at https://github.com/mahdiqezlou/LyTomo-Watershed

R2 v1 2026-06-24T08:08:06.687Z