zfit
Description
Statistical modeling is a key element in many scientific fields and especially in High-Energy Physics (HEP) analysis. The standard framework to perform this task in HEP is the C++ ROOT/RooFit toolkit; with Python bindings that are only loosely integrated into the scientific Python ecosystem. In this paper, zfit, a new alternative to RooFit written in pure Python, is presented. Most of all, zfit provides a well defined high-level API and workflow for advanced model building and fitting, together with an implementation on top of TensorFlow, allowing a transparent usage of CPUs and GPUs. It is designed to be extendable in a very simple fashion, allowing the usage of cutting-edge developments from the scientific Python ecosystem in a transparent way.
Notes
Files
zfit/zfit-0.24.3.zip
Files
(3.5 MB)
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md5:929e5f4311a365afcacca12c95ee88ea
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Additional details
Related works
- Is supplement to
- Software: https://github.com/zfit/zfit/tree/0.24.3 (URL)
Software
- Repository URL
- https://github.com/zfit/zfit