Speaker
Jonas Eschle
(Universitaet Zuerich (CH))
Description
zfit is a Python library for (likelihood) model fitting in pure Python and aims to establish a well defined API and workflow. zfit provides a high level interface for advanced model building and fitting while also designed to be easily extendable, allowing the usage of custom and cutting-edge developments from the scientific Python ecosystem in a transparent way.
This tutorial is an introduction to zfit with a focus on zfits newest developments in the area of minimization and a better interoperability with other libraries and pure Python functions.
Primary authors
Albert Puig Navarro
(Universität Zürich (CH))
Jonas Eschle
(Universitaet Zuerich (CH))
Matthieu Marinangeli
(EPFL - Ecole Polytechnique Federale Lausanne (CH))
Nicola Serra
(Universitaet Zuerich (CH))
Rafael Silva Coutinho
(Universitaet Zuerich (CH))
