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dc.contributor.authorCharman, Ten_US
dc.contributor.authorHays, Jen_US
dc.contributor.authorBevan, Aen_US
dc.contributor.author23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)en_US
dc.date.accessioned2019-10-25T10:56:45Z
dc.date.issued2019-09-17en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/60713
dc.rightsThis 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.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.titleHIPSTER A Python package for particle physics analysesen_US
dc.typeConference Proceeding
dc.rights.holder© The Authors, published by EDP Sciences, 2019
dc.identifier.doi10.1051/epjconf/201921406027en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderParticle Physics Consolodated Grant 2012-2016::Science and Technology Facilities Council [2006-2012]en_US
qmul.funderParticle Physics Consolodated Grant 2012-2016::Science and Technology Facilities Council [2006-2012]en_US


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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.
Except where otherwise noted, this item's license is described as 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.