The power spectrum of galaxies from large to small scales: a line-intensity mapping perspective
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
- Kana Moriwaki (ORCID: https://orcid.org/0000-0003-3349-4070)
- Sownak Bose (ORCID: https://orcid.org/0000-0002-0974-5266)
- Rui Jun (ORCID: https://orcid.org/0009-0006-7907-1283)
- Tom Theuns (ORCID: https://orcid.org/0000-0002-3790-9520)
Institutions
- Durham University (GB)
- The University of Tokyo (JP)
Publication Details
- Journal
- Monthly Notices of the Royal Astronomical Society
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1093/mnras/staf647
- Citations
- 4
- Primary Topic
- Astronomy and Astrophysical Research
- Type
- article
- Field-Weighted Citation Impact
- 4.77
Funders
- UK Research and Innovation
- University of Tokyo
- Science and Technology Facilities Council
- Japan Society for the Promotion of Science