Pre fit and post fit, CLs plots

[ssaha1234]

Dear pyhf community,
I am making prefit and postfit plots for my analysis (similar to what we have in HistFitter), as well as limit setting plots.
Are there some examples scripts to start off with ?

Thank you very much !
Best,
Shreya

[alexander-held]

Hi Shreya, pyhf provides a function to draw the Cls distribution via contrib.viz.brazil.

cabinetry provides functionality to calculate the required information for plots and to draw figures, without having to implement everything from scratch. For pre-/post-fit plots, the relevant modules of cabinetry are model_utils (includes calculation of yields & uncertainties) and visualize (plotting). visualize also can draw a CLs distribution. You can find some examples of the usage in these two notebooks: notebook 1, notebook 2 (from the cabinetry-tutorials repository). For cabinetry, it might also be interesting to note that there is a significant performance improvement for the post-fit uncertainty calculation in preparation (scikit-hep/cabinetry#315).

[matthewfeickert]

There are some additional plotting examples (just with pyhf) in the pyhf tutorial: https://pyhf.github.io/pyhf-tutorial/

[ssaha1234]

Thanks @matthewfeickert for sharing the additional examples :)
Best,
Shreya

[ssaha1234]

Hi @alexander-held,
Thank you very much for the prompt reply and all the links :)) I will read through it and implement it, starting from the examples !
Thanks !
Best,
Shreya