Clustering of DESI Luminous Red Galaxies selected by thermal Sunyaev-Zeldovich effect detection level from ACT+Planck y map

We propose to use the thermal Sunyaev-Zeldovich data to separate galaxies from redshift surveys into distinct subpopulations corresponding to different environments and biases. We expect to reach a higher constraining power similarly to density-split and density-marked clustering, but our splitting/marking criterion is independent of spectroscopic galaxy positions and their systematics. We use DESI Y1 spectroscopic data (LRG clustering catalogs) and public ACT DR6 maps. We cross-correlate the LRGs in different ranges of the detection level in the tSZ y map with the full LRG sample. We detect an increase in correlation function monopole with the tSZ detection level between 10 and 80 Mpc/h. We aim to understand the sensitivity to HOD aspects with AbacusSummit cubic boxes. We investigate the possibility of removing the small-scale non-linearities challenging for theoretical modeling by restricting the sample to low tSZ detection levels. We also explore the connection between the tSZ signal-to-noise and the frequency of close galaxy multiplets.