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.
That is, we fit only the narrow- band features (σline and σNBS) within the frequency bins that were notched out in step 2
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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.