pyhf - python HistFactory
@pyhf_
ID: 1398021248387538950
https://scikit-hep.org/pyhf/ 27-05-2021 21:00:52
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If you’re going to be at #SciPy2023 or #PyHEPdev2023 and would like a pyhf - python HistFactory sticker come find me to chat!
Congratulations to Belle II Experiment on this beautiful analysis and exciting result!
B̅→K̅νν̅ is a prime target for RECAST-like reinterpretations. Danny van Dyk 🇪🇺 explains in more detail in this thread our work in that direction and Lorenz will give a talk later today. Including new pyhf - python HistFactory features, which were developed by Malin Horstmann within our group in Munich
It warms my heart that our little tool pyhf - python HistFactory seemed useful for such a result ❤️
And we’re off with i am on bluesky giving a brief overview and tutorial of #pyhf. indico.cern.ch/event/1294577/…
Now we’re moving on to an overview of cabinetry from Alexander Held! indico.cern.ch/event/1294577/…
Tomorrow morning (8:30 CT on Tuesday) I'm going to be giving a personal retrospective about some of the statistical tools we developed for the LHC and the thriving community around pyhf - python HistFactory indico.cern.ch/event/1294577/…
Delayed in posting, but a great and busy second day of the #pyhf Users and Developers workshop with excellent contributions from HEPData, Belle II Experiment, MicroBooNE, SModels, Jack Araz, Kyle Cranmer and more! indico.cern.ch/event/1294577/…
Rowan Cockett 🦋 MyST Markdown Lorena Barba @[email protected] @stevejpurves Chris Holdgraf So from taking the MyST Quickstart and just messing around we've gotten to the point where I think I see a clear path to a super powered blog with JupyterLite. (Got pyhf - python HistFactory in there by taking a jupytext py:percent notebook, converting during CI, and then using piplite inside)
It was wonderful to have Kyle Cranmer give such a fantastic keynote at #SciPy2024! He covered a story more than 20 years in the making and one that is continuing through strong community investment! :D I can’t wait to share this with everyone once the recording is up on YouTube.
pyhf is an open source, pure-Python library that implements statistical modeling and inference techniques commonly used in particle physics. It was developed by partners at DSI, TU München and UC Santa Cruz. Get the source code and other documentation: dsi.wisc.edu/tools/pyhf/