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

zfit: scalable pythonic fitting

Nov 4, 2019, 11:00 AM
15m
Hall G (Adelaide Convention Centre)

Hall G

Adelaide Convention Centre

Oral Track 6 – Physics Analysis Track 6 – Physics Analysis

Speaker

Jonas Eschle (Universitaet Zuerich (CH))

Description

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.

Consider for promotion Yes

Primary authors

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

Presentation materials