The power spectrum of galaxies from large to small scales: a line-intensity mapping perspective
Year: 2025
Type: article
Abstract: ABSTRACT We present a model for the power spectrum of the density field of galaxies weighted by their star formation rate. This weighting is relevant in line-intensity mapping (lim) when the observed line luminosity is strongly correlated with star formation, as is the case for the H $\alpha$ line. Our model reproduces the measured power spectrum in the illustris tng simulation to within a few per cent across all scales, with fitting parameters that have clear physical interpretations. On scales of tens of megaparsecs, the model accounts for the weighted non-linear bias of galaxies as well as halo exclusion (two-halo term). On smaller scales, it incorporates the weighted distribution of satellite galaxies within haloes (one-halo term). The random sampling of satellite galaxies introduces a galaxy shot noise term to the power spectrum on small scales, and their confinement to haloes introduces a halo shot noise term on large scales. Omitting satellite galaxies from the analysis results in an underestimation of both the large-scale bias and the mean intensity by $\sim 30$ per cent each at $z \sim 1.5$. Assigning the intensity of satellites to the centre of their respective haloes affects the power spectrum on scales $k \gtrsim 0.3\ {\rm h\, Mpc^{-1}}$. Our fitting function provides a well-motivated parametrization that can be used to interpret data from upcoming lim surveys.
Authors: Rui Lan Jun, Tom Theuns, Kana Moriwaki, Sownak Bose
Institutions: The University of Tokyo, Durham University
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,046
Awards: Durham DiRAC-2 petascale facility, DiRAC-2.5 - the pathway to DiRAC Phase 3, G3864028297, Formation Processes of Heavy Elements in the Early Universe Elucidated by Superconducting Nanoelectronics, Large-Scale Numerical Simulations, and Data Science, G4406864956, DiRAC-2.5 DC - Operations 2017-2020, DiRAC: Memory Intensive 2.5y, 次世代広域観測に向けた銀河形成モデルの研究, Formation Processes of Heavy Elements in the Early Universe Elucidated by Superconducting Nanoelectronics, Large-Scale Numerical Simulations, and Data Science, DiRAC: Memory Intensive 2.5x
OpenAlex ID: W4409633142
