Submission to the 25th International Conference on Computing in High-Energy and Nuclear Physics. The cabinetry library provides a Python-based solution for building and steering binned template fits. It tightly integrates with the pythonic High Energy Physics ecosystem, and in particular with pyhf for statistical inference.This work was supported by the U.S. National Science Foundation (NSF) Cooperative Agreement OAC-1836650 (IRIS-HEP)
Expanding HEP datasets and analysis challenges continues to give rise to advancing software within t...
(ETDE), and International Nuclear Inforamtion System (INIS) representatives from the following sourc...
hickle is a Python 2/3 package for quickly dumping and loading python data structures to Hierarchica...
The cabinetry library provides a Python-based solution for building and steering binned template fit...
Talk as presented at PyHEP 2021: https://indico.cern.ch/event/1019958/contributions/4421868/. The c...
In experimental high energy physics, the common HistFactory p.d.f. template and fitting tools have o...
This release adopts the pyhf 0.7 API (#301, #367) and adds support for Python 3.10 (#334). Yield tab...
Statistical analysis of High Energy Physics (HEP) data relies on quantifying the compatibility of ob...
In high energy physics (HEP) a core component of analysis of data collected at the Large Hadron Coll...
pyhf is a pure-Python implementation of the HistFactory statistical model for multi-bin histogram-ba...
This release adds support for histogram inputs to workspace building and introduces a few breaking A...
Computational physics problems often have a common set of aspects to them that any particular numeri...
The HistFactory p.d.f. template [CERN-OPEN-2012-016] is per-se independent of its implementation in ...
In High Energy Physics facilities that provide High Performance Computing environments provide an op...
The `HistFactory` p.d.f. template [[CERN-OPEN-2012-016](https://cds.cern.ch/record/1456844)] is per-...
Expanding HEP datasets and analysis challenges continues to give rise to advancing software within t...
(ETDE), and International Nuclear Inforamtion System (INIS) representatives from the following sourc...
hickle is a Python 2/3 package for quickly dumping and loading python data structures to Hierarchica...
The cabinetry library provides a Python-based solution for building and steering binned template fit...
Talk as presented at PyHEP 2021: https://indico.cern.ch/event/1019958/contributions/4421868/. The c...
In experimental high energy physics, the common HistFactory p.d.f. template and fitting tools have o...
This release adopts the pyhf 0.7 API (#301, #367) and adds support for Python 3.10 (#334). Yield tab...
Statistical analysis of High Energy Physics (HEP) data relies on quantifying the compatibility of ob...
In high energy physics (HEP) a core component of analysis of data collected at the Large Hadron Coll...
pyhf is a pure-Python implementation of the HistFactory statistical model for multi-bin histogram-ba...
This release adds support for histogram inputs to workspace building and introduces a few breaking A...
Computational physics problems often have a common set of aspects to them that any particular numeri...
The HistFactory p.d.f. template [CERN-OPEN-2012-016] is per-se independent of its implementation in ...
In High Energy Physics facilities that provide High Performance Computing environments provide an op...
The `HistFactory` p.d.f. template [[CERN-OPEN-2012-016](https://cds.cern.ch/record/1456844)] is per-...
Expanding HEP datasets and analysis challenges continues to give rise to advancing software within t...
(ETDE), and International Nuclear Inforamtion System (INIS) representatives from the following sourc...
hickle is a Python 2/3 package for quickly dumping and loading python data structures to Hierarchica...
DOI
Add to ORKG