Studying binary BHs formation channels with Gaussianised correlations

Research on merging black-hole binaries has enhanced our understanding of the stellar-mass black hole population in the Universe. Prior studies have identified important correlations between pairs of parameters that characterize these populations. In this work, I introduce a novel approach, inspired by the versatility of 'normalizing flows', which can simultaneously capture and model the correlation structures across the entire population without being restricted to predefined parameter pairs. Finally, I will present our findings on all the combinations of mass-ratio, effective spin, primary mass and redshift, and their implications for astrophysics.