Update relative binning authored by Colm Talbot's avatar Colm Talbot
...@@ -2,9 +2,6 @@ ...@@ -2,9 +2,6 @@
Compute likelihood difference for Compute likelihood difference for
- Good BNS analysis
- Bad BNS analysis
## [Unit testing](https://git.ligo.org/lscsoft/bilby/-/blob/master/test/gw/likelihood/relative_binning_test.py) ## [Unit testing](https://git.ligo.org/lscsoft/bilby/-/blob/master/test/gw/likelihood/relative_binning_test.py)
As part of the `Bilby` CI unit testing, we verify that the binned likelihood agrees with the regular likelihood as the reference point for a range of cases. As part of the `Bilby` CI unit testing, we verify that the binned likelihood agrees with the regular likelihood as the reference point for a range of cases.
...@@ -40,3 +37,11 @@ We note that while for many of the blue traces, the differences are comparativel ...@@ -40,3 +37,11 @@ We note that while for many of the blue traces, the differences are comparativel
For some successful cases, the mean ln likelihood is > 0.1 in the tails, however, this can easily be corrected using likelihood reweighting. For some successful cases, the mean ln likelihood is > 0.1 in the tails, however, this can easily be corrected using likelihood reweighting.
![image](uploads/9f2075efcca8e13f0d7b3ba7e2831bfc/image.png) ![image](uploads/9f2075efcca8e13f0d7b3ba7e2831bfc/image.png)
### BNS analyses
The fiducial BNS injection has been analyzed with the relative binning likelihood.
In all cases, we see good agreement with the ROQ-likelihood runs and good resampling efficiency.
*TODO*: add figures and numbers here
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