On the kinetic Sunyaev–Zel'dovich effect as an observational probe for halo spin bias. Issue 3 (19th April 2021)

• Record Type: Journal Article
• Authors: Montero-Dorta, Antonio D; Artale, M Celeste; Abramo, L Raul; Tucci, Beatriz
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 504:Issue 3(2021)
• Page Start: 4568
• Page End: 4582
• Publication Date: 2021-04-19
• Subjects: methods: numerical -- galaxies: clusters: intracluster medium -- galaxies: formation -- galaxies: haloes -- dark matter -- large-scale structure of Universe; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/stab1026
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: We explore the potential of the kinetic Sunyaev–Zel'dovich (kSZ) effect as the cornerstone of a future observational probe for halo spin bias, the secondary dependence of halo clustering on halo spin at fixed halo mass. Using the IllustrisTNG magnetohydrodynamical cosmological simulation, we measure both the rotational component of the kSZ and the thermal SZ (tSZ) effects produced by the baryonic content of more than 50 000 haloes within the halo mass range $11 \lt \log _{10} ({\rm M_{vir}}/ h^{-1} \, {\rm M_{\odot }}) \lesssim 14.5$ . First, we confirm that the magnitude of both effects depends strongly on the total gas and virial mass of the haloes, and that the integrated kSZ signal displays a significant correlation with the angular momentum of the intra-halo gas, particularly for massive haloes. Second, we show that both the integrated kSZ signal and the ratio of the integrated kSZ and tSZ signals trace total halo spin, even though significant scatter exists. Finally, we demonstrate, with high statistical significance, that, in the absence of observational and instrumental uncertainties, these SZ-related statistics can be used to recover most of the underlying IllustrisTNG halo spin bias signal. Our analysis represents the first attempt to develop a future observational probe for halo spin bias, bringing forward alternative routes for measuring the secondary bias effects.