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License: CC BY
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Report . 2016
License: CC BY
Data sources: ZENODO
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Deep Learning On Imaging Calorimetry

descriptionPublicationkeyboard_double_arrow_right Report 19 Dec 2016Publisher:Zenodo
Authors: Mahapatra, Jayesh; Pierini, Maurizio; Vlimant, Jean-Roch; Spiropulu, Maria;

doi: 10.5281/zenodo.208488

Deep Learning On Imaging Calorimetry

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.

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CERN openlab summer student

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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