Understand
Vamana is a mixture model framework that infers the astrophysical distribution of chirp mass, mass ratio, and spin component aligned with the orbital angular momentum for the binary black hole population.
- We extend the mixing components in this framework to also model the redshift evolution of merger rate and report all the major one and two-dimensional features in the Binary Black Hole population using the 69 gravitational wave signals detected with a false alarm rate $<1\mathrm{yr}^{-1}$ in the third Gravitational-Wave Transient Catalog (GWTC)-3.
- Endorsing our previous report and a corroborating recent report from LIGO Scientific, Virgo, and KAGRA Collaborations, we observe the chirp mass distribution has multiple peaks and a lack of mergers with chirp masses $10 \textrm{--} 12M_\odot$.
- In addition, we observe aligned spins show mass dependence with heavier binaries exhibiting larger spins, mass ratio shows a dependence on the chirp mass but not on the aligned spin, and the redshift evolution of the merger rate for the peaks in the mass distribution is disparate.