208488
doi
10.5281/zenodo.208488
oai:zenodo.org:208488
user-cernopenlab
Pierini, Maurizio
Summer Student Supervisor
Vlimant, Jean-Roch
Summer Student Supervisor
Spiropulu, Maria
Summer Student Supervisor
Deep Learning on Imaging Calorimetry
Mahapatra, Jayesh
CERN openlab Summer Student
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
CERN openlab summer student
<p>Abstract</p>
<p>Particle reconstruction is a significant task in analysis of CMS data. Currently physics based algorithms in conjunction with CMS readouts are used. In this project we explored deep learning as a technique for photon identification and reconstruction on the public LCD CaloImage dataset. Several network architectures were tested for performing classification (photon vs pion discrimination) and regression analysis of energy of particle hits. The performance of the topologies were plotted and compared.</p>
Zenodo
2016-12-19
info:eu-repo/semantics/report
701086
user-cernopenlab
1579538990.212414
1745161
md5:53fa4428e58a82f64c7fb256befa9aff
https://zenodo.org/records/208488/files/Jayesh_openlab_report.pdf
public
isVersionOf
doi