Beschreibung
We present a self-consistent joint analysis of the thermal Sunyaev-Zel’dovich (tSZ) power spectrum and cluster number counts (CNC) in which clusters detected above a signal-to-noise (SNR) threshold are masked from the power spectrum and used instead as the CNC sample, so that the two probes act on non-overlapping halo populations. Using synthetic Planck-like data from a halo-painting pipeline, we show that masking renders the binned bandpower distribution is statistically Gaussian in every multipole bin, whereas the full-sky distribution is highly skewed at large scales. We show that this joint analysis can significantly improve the cosmological constraints but is limited by the modelling of the foreground residuals. We apply this method to FLAMINGO hydrodynamical simulations to investigate how does the shape of the tSZ power spectrum changes if the giant clusters are masked progressively, thereby isolating the contributions of different halo populations to the tSZ signal.