A transdimensional Bayesian noise model for LIGO/Virgo data improves noise fits and shifts selected astrophysical parameter estimates by up to about 7% in credible-interval width.
This process is possible because the frequency bins notched out in step 2 and reintroduced in step 4 can be treated as independent datasets
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
astro-ph.IM 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Modelling noise in gravitational-wave observatories with transdimensional models
A transdimensional Bayesian noise model for LIGO/Virgo data improves noise fits and shifts selected astrophysical parameter estimates by up to about 7% in credible-interval width.