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@INPROCEEDINGS{Schouten:291336,
author = {Schouten, Doug and DeAbreu, Adam and Stelzer, Bernd},
title = {{GPU}s for {H}iggs boson data analysis at the {LHC} using
the {M}atrix {E}lement {M}ethod},
address = {Hamburg},
publisher = {Deutsches Elektronen-Synchrotron, DESY},
reportid = {PUBDB-2015-05337, DESY-PROC-2014-05},
pages = {109-118},
year = {2015},
abstract = {The matrix element method utilizes ab initio calculations
of probability densities as power- ful discriminants to
extract small signals from large backgrounds at hadron
collider exper- iments. The computational complexity of this
method for final states with many particles and degrees of
freedom sets it at a disadvantage compared to supervised
classification methods such as decision trees, k
nearest-neighbour, or neural networks. We will present a
concrete implementation of the matrix element technique in
the context of Higgs boson analysis at the LHC employing
graphics processing units. Due to the intrinsic paral-
lelizability of multidimensional phase space integration,
dramatic speedups can be readily achieved, which makes the
matrix element technique viable for general usage at
collider experiments.},
month = {Sep},
date = {2014-09-10},
organization = {GPU Computing in High-Energy Physics,
Pisa (Italy), 10 Sep 2014 - 12 Sep
2014},
keywords = {talk: Pisa 2014/09/10 (INSPIRE) / Higgs particle (INSPIRE)
/ CERN LHC Coll (INSPIRE) / higher-dimensional (INSPIRE) /
neural network (INSPIRE) / programming (INSPIRE) /
microprocessor: graphics (INSPIRE) / phase space (INSPIRE) /
background (INSPIRE) / density (INSPIRE)},
cin = {L},
cid = {I:(DE-H253)L-20120731},
pnm = {899 - ohne Topic (POF3-899)},
pid = {G:(DE-HGF)POF3-899},
experiment = {EXP:(DE-588)4443767-5},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)15},
doi = {10.3204/DESY-PROC-2014-05/20},
url = {https://bib-pubdb1.desy.de/record/291336},
}