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ZENODO
Software . 2019
License: https://opensource.org/licenses/BSD-3-Clause
Data sources: Datacite
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ZENODO
Software . 2019
License: http://opensource.org/licenses/BSD-3-Clause
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2019
Data sources: Datacite
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ZENODO
Software . 2019
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2019
License: https://opensource.org/licenses/BSD-3-Clause
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2019
License: http://opensource.org/licenses/BSD-3-Clause
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phasespace: n-body phase space generation in Python

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 Mar 2019Publisher:Zenodo
Authors: Albert Puig; Jonas Eschle;
Code repository: https://github.com/zfit/phasespace/tree/1.0.0

doi: 10.5281/zenodo.2926058 , 10.5281/zenodo.3237583 , 10.5281/zenodo.2591994

phasespace: n-body phase space generation in Python

Abstract

Python implementation of the Raubold and Lynch method for n-body events using Tensorflow as a backend. The code is based on the GENBOD function (W515 from CERNLIB), documented in James, Monte Carlo Phase Space, CERN 68-15 (1968) and tries to follow it as closely as possible. In addition, it allows the generation of sequential decay chains, including resonances of arbitrary shape.

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Keywords

tensorflow, python, hep

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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