We study 100 images of early LHC collisions that were recorded by the ATLAS
experiment and made public for outreach purposes, and extract the charged
particle multiplicity as a function of momentum for proton-proton collisions at
sqrt(s) = 7 TeV. As the collisions we study have already been pre-processed by
the ATLAS Collaboration, the tracks are visible, but are available to the
public only in the form of low-resolution bitmaps. We employ two separate image
processing methods, one based on the industry-standard OpenCV library and C++,
another based on self-developed algorithms in Python. We present the transverse
momentum and azimuthal angle distributions of the particles obtained through
both methods, in agreement with the literature.
%0 Generic
%1 Ustun2016Measuring
%A Üstün, Gözde
%A Barut, Erol
%A Bektas, Erhan
%A Özcan, V. Erkcan
%D 2016
%K tools
%T Measuring Charged Particle Multiplicity with Early ATLAS Public Data
%U http://arxiv.org/abs/1610.03723
%X We study 100 images of early LHC collisions that were recorded by the ATLAS
experiment and made public for outreach purposes, and extract the charged
particle multiplicity as a function of momentum for proton-proton collisions at
sqrt(s) = 7 TeV. As the collisions we study have already been pre-processed by
the ATLAS Collaboration, the tracks are visible, but are available to the
public only in the form of low-resolution bitmaps. We employ two separate image
processing methods, one based on the industry-standard OpenCV library and C++,
another based on self-developed algorithms in Python. We present the transverse
momentum and azimuthal angle distributions of the particles obtained through
both methods, in agreement with the literature.
@misc{Ustun2016Measuring,
abstract = {{We study 100 images of early LHC collisions that were recorded by the ATLAS
experiment and made public for outreach purposes, and extract the charged
particle multiplicity as a function of momentum for proton-proton collisions at
sqrt(s) = 7 TeV. As the collisions we study have already been pre-processed by
the ATLAS Collaboration, the tracks are visible, but are available to the
public only in the form of low-resolution bitmaps. We employ two separate image
processing methods, one based on the industry-standard OpenCV library and C++,
another based on self-developed algorithms in Python. We present the transverse
momentum and azimuthal angle distributions of the particles obtained through
both methods, in agreement with the literature.}},
added-at = {2019-02-23T22:09:48.000+0100},
archiveprefix = {arXiv},
author = {\"{U}st\"{u}n, G\"{o}zde and Barut, Erol and Bekta\c{s}, Erhan and \"{O}zcan, V. Erkcan},
biburl = {https://www.bibsonomy.org/bibtex/297f534b01d6a923fc5ca66da5c1374ec/cmcneile},
citeulike-article-id = {14160504},
citeulike-linkout-0 = {http://arxiv.org/abs/1610.03723},
citeulike-linkout-1 = {http://arxiv.org/pdf/1610.03723},
day = 8,
eprint = {1610.03723},
interhash = {7315959040aa89979960716637779100},
intrahash = {97f534b01d6a923fc5ca66da5c1374ec},
keywords = {tools},
month = oct,
posted-at = {2016-10-13 09:46:30},
priority = {2},
timestamp = {2019-02-23T22:15:27.000+0100},
title = {{Measuring Charged Particle Multiplicity with Early ATLAS Public Data}},
url = {http://arxiv.org/abs/1610.03723},
year = 2016
}