publication . Report . Other literature type . 2016

Deep Learning on Imaging Calorimetry

Mahapatra, Jayesh; Pierini, Maurizio; Vlimant, Jean-Roch; Spiropulu, Maria;
Open Access
  • Published: 19 Dec 2016
  • Publisher: Zenodo
Abstract
Abstract 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.
doi: 10.5281/zenodo.208488
Subjects
arxiv: Physics::Instrumentation and Detectors
acm: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: CERN openlab summer student
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Report . 2016
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http://dx.doi.org/10.5281/zeno...
Other literature type . 2016
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publication . Report . Other literature type . 2016

Deep Learning on Imaging Calorimetry

Mahapatra, Jayesh; Pierini, Maurizio; Vlimant, Jean-Roch; Spiropulu, Maria;

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