zfit: scalable pythonic fitting

Understand

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.