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pyhf

Pure-Python HistFactory implementation with tensors and autodiff

Budget


Transparent and open finances.

Reimbursement #227504
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Reimbursement #224892
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captions
-$1,232.74USD
Paid
Reimbursement #176919
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$
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.