.. toctree:: :hidden: :maxdepth: 1 core advanced config cli api license
cabinetry
is a Python library for building and steering binned template fits.
It interfaces many other libraries to make it easy for an analyzer to run their statistical inference pipeline.
This documentation can be viewed on Read the Docs or locally via
sphinx-build docs docs/_build
open docs/_build/index.html
See the README on github for a simple example of using cabinetry
, and the cabinetry-tutorials repository for a more in-depth version.
- vCHEP 2021
- short talk: https://indico.cern.ch/event/948465/contributions/4324154/
- associated paper: 10.1051/epjconf/202125103067
- PyHEP 2021
- notebook talk: https://indico.cern.ch/event/1019958/contributions/4421868/
This work was supported by the U.S. National Science Foundation (NSF) cooperative agreements OAC-1836650 and PHY-2323298 (IRIS-HEP).