Impact of the [C II]_158 μm luminosity scatter on the line-intensity mapping power spectrum from the EoR release_h4g2ne7vqbfwxog2lcwmlrivm4

by Chandra Shekhar Murmu, Karen P. Olsen, Thomas R. Greve, Suman Majumdar, Kanan K. Datta, Bryan R. Scott, T. K. Daisy Leung, Romeel Dave, Gergo Popping, Raul Ortega Ochoa, David Vizgan, Desika Narayanan

Released as a article .

2021  

Abstract

Redshifted [C II]_158 μm line-intensity mapping (LIM) of the Epoch of Reionization (EoR) with ongoing and upcoming experiments like the CONCERTO, TIME and FYST, is a new tool to constrain the role of the early galaxies in reionization. We expect statistics, e.g., the power spectrum of the LIM signal to be detectable by these experiments, which will help us understand the large-scale distribution and astrophysical properties of the [C II]_158 μm line emitters. In this work, unlike a simple semi-analytical approach, we derive the [C II]_158 μm line-luminosity scatter, which arises from various ongoing astrophysical processes under varied environments inside individual galaxies, from a hydrodynamic and radiative transfer simulation of galaxies, to interpret its impact on the power spectrum. We compare the luminosity scatter scenario with best-fit relations obtained from mean and most probable L_[CII] values and find that in both cases, along with a slight, unavoidable diminishing of the luminosity-weighted halo bias, the clustering (large-scale) power spectrum is impacted significantly, in addition to the shot-noise component. In the latter case, the power spectrum is enhanced by a factor of ∼ 2.7-2.9 for 0.1 ≤ k ≤ 1 Mpc^-1 (at z=6); we present this alternative approach to interpret this enhancement in the clustering power in conjunction with a simple analytical model. It is crucial to appropriately model and take line-luminosity scatter into account to interpret the [C II]_158 μm power spectrum from future observations.
In text/plain format

Archived Files and Locations

application/pdf  1.2 MB
file_indxpvz3xzdsrjse7gfg4x342q
arxiv.org (repository)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article
Stage   submitted
Date   2021-12-04
Version   v2
Language   en ?
arXiv  2110.10687v2
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 6776418d-1d49-40d3-a136-fececee7f9bf
API URL: JSON