bilby issueshttps://git.ligo.org/lscsoft/bilby/-/issues2020-09-28T15:14:12Zhttps://git.ligo.org/lscsoft/bilby/-/issues/505Use NS weights for posterior plots and quantiles2020-09-28T15:14:12ZMatthew PitkinUse NS weights for posterior plots and quantilesIf working with the outputs of nested sampling code and we have the weights stored in the `Result` object we should allow the `plot_corner` function to use all the nested samples, but with weights applied (as is done in [dynesty](https:/...If working with the outputs of nested sampling code and we have the weights stored in the `Result` object we should allow the `plot_corner` function to use all the nested samples, but with weights applied (as is done in [dynesty](https://github.com/joshspeagle/dynesty/blob/master/dynesty/plotting.py#L968) and ultranest). This will reduce the sampling noise especially in the wings of the posteriors. We should also look at the dynesty [quantile](https://github.com/joshspeagle/dynesty/blob/master/dynesty/utils.py#L184) function, which will use the weights to work out quantiles, which again should reduce the random noise on the values.Future