Speaker
Jonas Eschle
Description
Statistical modelling is a key element for HEP analysis. Currently, most of this modelling is performed with the ROOT/RooFit toolkit which is written in C++ and poorly integrated with the scientific Python ecosystem. zfit is a new alternative to RooFit, written in pure Python while still allowing to use HEP standard minimizers and file formats. 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.