Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 05006 | |
Number of page(s) | 7 | |
Section | T5 - Software development | |
DOI | https://doi.org/10.1051/epjconf/201921405006 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921405006
A Python upgrade to the GooFit package for parallel fitting
1
University of Cincinnati,
Cincinnati,
Ohio, USA
2
Ohio Supercomputer Center,
Columbus
Ohio, USA
3
CERN / Technische Universität Dortmund (DE),
Dortmund
Germany
* e-mail: henry.fredrick.schreiner@cern.ch
Published online: 17 September 2019
The GooFit highly parallel fitting package for GPUs and CPUs has been substantially upgraded in the past year. Python bindings have been added to allow simple access to the fitting configuration, setup, and execution. A Python tool to write custom GooFit code given a (compact and elegant) MINT3/AmpGen amplitude description allows the corresponding C++ code to be written quickly and correctly. New PDFs have been added. The most recent release was built on top of the December 2017 2.0 release that added easier builds, new platforms, and a more robust and efficient underlying function evaluation engine.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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