pyhf
Pure-Python HistFactory implementation with tensors and autodiff
Budget
Transparent and open finances.
-$1,069.00 USD
Approved
Reimbursement #227504
pyhf
-$1,066.64 USD
Paid
Reimbursement #224892
pyhf
captions
Debit from pyhf to Rishabh Mehta •
-$1,232.74USD
Paid
Reimbursement #176919
pyhf
$
Today’s balance$1,068.61 USD
Total raised
$10,000.00 USD
Total disbursed
$8,931.39 USD
Estimated annual budget
--.-- USD
About
The HistFactory p.d.f. template [CERN-OPEN-2012-016] 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 is a pure-python implementation of that statistical model for multi-bin histogram-based analysis and its interval estimation is based on the asymptotic formulas of “Asymptotic formulae for likelihood-based tests of new physics” [arXiv:1007.1727]. The aim is also to support modern computational graph libraries such as PyTorch and TensorFlow in order to make use of features such as autodifferentiation and GPU acceleration.
Our team
Miriam Mueller
Admin
Savannah Simons
Admin
NumFOCUS Finance
Admin
ArlissC
Admin
Chervonne Rogers
Admin
Savannah Simons
Admin
Matthew Feickert
Admin
Lukas Heinrich
Admin
Giordon Stark
Admin