paper

Cross-correlation of the thermal Sunyaev--Zel'dovich and CMB lensing signals in Planck PR4 data with robust CIB decontamination

arXiv:2308.16260

Abstract

We use the full-mission Planck PR4 data to measure the CMB lensing convergence ()--thermal Sunyaev-Zel'dovich (tSZ, ) cross-correlation, . This is only the second measurement to date of this signal, following Hill \& Spergel (2014). We perform the measurement using foreground-cleaned tSZ maps built from the PR4 frequency maps via a tailored needlet internal linear combination (NILC) code in our companion paper, in combination with the Planck PR4 maps and various systematic-mitigated PR3 maps. A serious systematic is the residual cosmic infrared background (CIB) in the tSZ map, as the high CIB-- correlation can significantly bias the inferred tSZ-- cross-correlation. We mitigate this by deprojecting the CIB in our NILC, using a moment-deprojection approach to avoid leakage due to incorrect modelling of the CIB frequency dependence. We validate our method on mm-sky simulations. We fit a theoretical halo model to our measurement, finding a best-fit amplitude of (for the highest signal-to-noise PR4 map) or (for a PR3 map built from a tSZ-deprojected CMB map), indicating that the data are consistent with our model within -. Although our error bars are similar to those of the 2014 measurement, our method is significantly more robust to CIB contamination. Our moment-deprojection approach lays the foundation for future measurements of this signal with higher signal-to-noise maps from ground-based telescopes, which will precisely probe the astrophysics of the intracluster medium of galaxy groups and clusters in the intermediate-mass (), high- (, c.f. for the tSZ auto-power signal) regime, as well as CIB-decontaminated measurements of tSZ cross-correlations with other large-scale structure probes.

32 pages, 17 Figures. Companion paper to arXiv:2307.01043 . Public code is available to reproduce theory calculations at https://github.com/fmccarthy/tSZ_kappa_halomodel_classsz