The impact of galaxy bias on cross-correlation tomography

Maleubre, S, Zennaro, M, Alonso, D, McCarthy, I orcid iconORCID: 0000-0002-1286-483X, Schaller, M and Schaye, J The impact of galaxy bias on cross-correlation tomography. Monthly Notices of the Royal Astronomical Society. ISSN 0035-8711 (Accepted)

[thumbnail of The impact of galaxy bias on cross correlation tomography.pdf]
Preview
Text
The impact of galaxy bias on cross correlation tomography.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (825kB) | Preview

Abstract

The cross-correlation of galaxies at different redshifts with other tracers of the large-scale structure can be used to reconstruct the cosmic mean of key physical quantities, and their evolution over billions of years, at high precision. However, a correct interpretation of these measurements must ensure that they are independent of the clustering properties of the galaxy sample used. In this paper we explore different prescriptions to extract tomographic reconstruction measurements and use the FLAMINGO hydrodynamic simulations to show that a robust estimator, independent of the small-scale galaxy bias, can be constructed. We focus on the tomographic reconstruction of the halo bias-weighted electron pressure 〈bPe〉 and star-formation density 〈bρSFR〉, which can be reconstructed from tomographic analysis of Sunyaev-Zel’dovich and cosmic infrared background maps, respectively. We show that these quantities can be reconstructed with an accuracy of 1-3% over a wide range of redshifts, using different galaxy samples. We also show that these measurements can be accurately interpreted using the halo model, assuming a sufficiently reliable model can be constructed for the halo mass function, large-scale halo bias, and for the dependence of the physical quantities being reconstructed on halo mass.

Item Type: Article
Uncontrolled Keywords: 37 Earth Sciences; 51 Physical Sciences; 3705 Geology
Subjects: Q Science > QB Astronomy
Divisions: Astrophysics Research Institute
Publisher: Oxford University Press
Date of acceptance: 29 November 2025
Date of first compliant Open Access: 3 December 2025
Date Deposited: 03 Dec 2025 16:13
Last Modified: 03 Dec 2025 16:13
URI: https://researchonline.ljmu.ac.uk/id/eprint/27662
View Item View Item