Nov 4 – 8, 2019
Adelaide Convention Centre
Australia/Adelaide timezone

zfit: scalable pythonic fitting

Nov 4, 2019, 11:00 AM
Hall G (Adelaide Convention Centre)

Hall G

Adelaide Convention Centre

Oral Track 6 – Physics Analysis Track 6 – Physics Analysis


Jonas Eschle (Universitaet Zuerich (CH))


Statistical modelling is a key element for High-Energy Physics (HEP) analysis. Currently, most of this modelling is performed with the ROOT/RooFit toolkit which is written in C++ and provides Python bindings which are only loosely integrated into the scientific Python ecosystem. We present zfit, a new alternative to RooFit, written in pure Python. Built on top of TensorFlow (a modern, high level computing library for massive computations), zfit provides a high level interface for advanced model building and fitting. It is also designed to be extendable in a very simple way, allowing the usage of cutting-edge developments from the scientific Python ecosystem in a transparent way. In this talk, the main features of zfit are introduced, and its extension to data analysis, especially in the context of HEP experiments, is discussed.

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Primary authors

Rafael Silva Coutinho (Universitaet Zuerich (CH)) Albert Puig Navarro (Universität Zürich (CH)) Jonas Eschle (Universitaet Zuerich (CH))

Presentation materials