https://github.com/lukasheinrich/histfactory_validation
validating some standalone python code against HistFactory for some simple models
https://github.com/lukasheinrich/histfactory_validation
Last synced: 9 days ago
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validating some standalone python code against HistFactory for some simple models
- Host: GitHub
- URL: https://github.com/lukasheinrich/histfactory_validation
- Owner: lukasheinrich
- Created: 2018-01-23T17:20:34.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-01-24T16:34:38.000Z (almost 8 years ago)
- Last Synced: 2025-01-03T11:04:12.112Z (10 months ago)
- Language: Jupyter Notebook
- Size: 940 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# histfactory_validation
## This was moved to a proper python package at https://github.com/lukasheinrich/pyhf
The HistFactory p.d.f. template is per-se independent of its implementation in ROOT and sometimes, it's useful to be able to run statistical analysis outside
of ROOT, RooFit, RooStats framework.
This repo has some example code for multi-bin histogram-based analysis based on the asymptotic formulas of arxiv:1007.1727 and
So far it only implements a simple model of
* one signal historgam with a NormFactor
* one background histogram with a ShapeSys (uncorrelated bin-by-bin uncertainties)
and validates it against output computed from HistFactory workspaces
## A one bin example
```
nobs = 55, b = 50, db = 7, nom_sig = 10.
```
## A two bin example
```
bin 1: nobs = 100, b = 100, db = 15., nom_sig = 30.
bin 2: nobs = 145, b = 150, db = 20., nom_sig = 45.
```
