PhD student Vasco Gennari led an amazing work where we delved into the secrets of the impact of parametric models for the source mass of binary black holes in GW cosmology.
We present an extensive study on how different parameterizations of the source frame mass spectrum of binary black holes (BBHs) impact the population studies of detected sources. We find that for mass models that are non-evoling in redshift and only model one sharp feature in the mass spectrum, the mass spectrum reconstruction from real data is population prior-dependent. We demonstrate that this can happen when real data contains more than one feature. We also studied a set of parametric models evolving in redshift and found no strong preference against redshift-independent models.
Please, feel free to read our paper and reach out to us for any question or suggestion.
Figure: Reconstruction of the astrophysical (top panel) and detected (bottom panel) mass spectrum for two population models with multiple features. Two different models could not be distinguishable as at the detector they would correspond to the same distribution.




