rhalphalib 0.3.0

A binned fit intermediate representation library

rhalphalib

Quickstart

CMSSW with EL8/EL9

We use the scram-venv utility to create a python virtual environment in our CMSSW area:

cmsrel CMSSW_14_1_0_pre4
cd CMSSW_14_1_0_pre4/src
cmsenv
scram-venv
cmsenv
git clone https://github.com/cms-analysis/HiggsAnalysis-CombinedLimit.git HiggsAnalysis/CombinedLimit
cd HiggsAnalysis/CombinedLimit
git checkout v10.1.0
scram b -j4
python3 -m pip install git+https://github.com/nsmith-/rhalphalib.git

Elsewhere (no warranty)

First, install Combine v10 using your choice of installation instructions (with CMSSW, using LCG, or inside a Conda environment). In a python virtual environment, run:

python3 -m pip install --user git+https://github.com/nsmith-/rhalphalib.git

Usage

Take a look at test_rhalphalib.py for examples of how to use the package. You can run a test with, e.g.

curl -Ol https://raw.githubusercontent.com/nsmith-/rhalphalib/master/tests/test_rhalphalib.py
python3 test_rhalphalib.py
cd tmp/testModel
. build.sh
combine -M FitDiagnostics model_combined.root

An example output of the final line is:

 <<< Combine >>>
 <<< v10.1.0 >>>
>>> Random number generator seed is 123456
>>> Method used is FitDiagnostics

 --- FitDiagnostics ---
Best fit r: 0.999999  -0.208174/+0.212715  (68% CL)
Done in 0.59 min (cpu), 0.59 min (real)