English

A scaling relation in [C II]-detected galaxies and its likely application in cosmology

Astrophysics of Galaxies 2022-11-10 v1

Abstract

We identify and investigate a possible correlation between the [CII]158μm\rm{[CII]} 158{\mu}m luminosity and linewidth in the [CII]\rm{[CII]}-detected galaxies. Observationally, the strength of the [CII]158μm\rm{[CII]} 158{\mu}m emission line is usually stronger than that of the CO emission line and this [CII]\rm{[CII]} line has been used as another tracer of the galactic characteristics. Moreover, many [CII]\rm{[CII]}-detected galaxies are identified in z>4z > 4. Motivated by previous studies of the CO luminosity - FWHM correlation relation (LFR) and the available new [CII]\rm{[CII]} measurements, we compile samples of the [CII]\rm{[CII]}-detected galaxies in the literature and perform the linear regression analysis. The [CII]\rm{[CII]} LFR is confirmed at a robust level. We also demonstrate the possible application of the [CII]\rm{[CII]} LFR by utilizing it on the distance measurement of the high-zz galaxy. As a result, we extend the cosmic spatial scale beyond the redshift zz of 77. With the outcome of the distance measurement, we constrain the cosmology parameters in the Chevallier-Polarski-Linder model, which considers the evolution of dark energy. Consequently, the uncertainties of the w0\textit{w}_{0} and wa\textit{w}_{a} are reduced significantly when the measured distance data of the [CII]\rm{[CII]}-detected galaxies are included in the cosmological parameter constraint, exemplifying the potential of using the [CII]\rm{[CII]}-detected galaxies as a tracer to constrain the cosmological parameters.

Keywords

Cite

@article{arxiv.2211.04968,
  title  = {A scaling relation in [C II]-detected galaxies and its likely application in cosmology},
  author = {Y. Wu and Yu Gao and Jun-Feng Wang},
  journal= {arXiv preprint arXiv:2211.04968},
  year   = {2022}
}

Comments

18 pages and 6 figures. Accepted for publication in MNRAS. This paper is dedicated to the memory of Prof. Yu Gao