We use No.5 signal with mass ratio q = 8, M=150, d=5.
We still use No.5 signal with mass ratio q = 8, M=150, d=5.
Note that the detector noises used here are different from the ones put into VItamin. This is because, Bilby generates detector noise in a different way (A Gaussian white noise in the complex domain, and the standard deviation $\sigma = 0.5*duration**0.5$ see here https://git.ligo.org/lscsoft/bilby/-/blob/master/bilby/core/utils.py#L322 ). We haven't adopted its method yet.
We use spinning BBH template to do PE run. Fig.4 and Fig.5 have totally the same parameters and noise, just to verify the stability of Bilby's results. To my surprise, it changes a lot.
Fig.4 No.5 signal with mass ratio q = 8, random seed = 100.
@@ -34,7 +35,7 @@ Fig.10 No.2 signal with mass ratio q = 1, random seed = 10000.
# 2. BBH
## (1) Bilby
First, we produce a high mass BBH signal. m1=89, m2=60, distance=3000, to see how it performs with different noises in Bilby.
As we can see, the posteriors are similar, while there is a little difference. The distance isn't estimated accurately. Fig.4 and Fig.5 have totally the same parameters and noise, just to verify the stability of Bilby's results.
As we can see, the posteriors are similar, while there is a little difference. The distance isn't estimated accurately. Fig.11 and Fig.12 have totally the same parameters and noise, just to verify the stability of Bilby's results.
