EPJ

a
b
c
d
e
ap
st
h
plus
ds
pv
ti
qt
am
n

Authors & Readers

Submission
- EPJ A
- EPJ B
- EPJ C
- EPJ D
- EPJ E
- EPJ AP
- EPJ ST
- EPJ H
- EPJ PLUS
- EPJ DS
- EPJ PV
- EPJ TI
- EPJ QT
- EPJ AM
- EPJ N
- EPJ WOC
LaTeX Macros
- EPJ A
- EPJ B
- EPJ C
- EPJ D
- EPJ E
- EPJ AP
- EPJ ST
- EPJ H
- EPJ PLUS
- EPJ DS
- EPJ TI
- EPJ QT
- EPJ WOC
TOC alert
- EPJ A
- EPJ B
- EPJ C
- EPJ D
- EPJ E
- EPJ AP
- EPJ ST
- EPJ H
- EPJ PLUS
- EPJ DS
- EPJ PV
- EPJ TI
- EPJ QT
- EPJ AM
- EPJ N
- EPJ WOC
RSS feeds
Permission Requests
Policy on Publishing Integrity
FAQ
Videos presenting EPJ

Download citation

Calorimetry with deep learning: particle simulation and reconstruction for collider physics

Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei and Matt Zhang

Eur. Phys. J. C, 80 7 (2020) 688

DOI: https://doi.org/10.1140/epjc/s10052-020-8251-9

Back to the article

Topical Collections

Open calls for papers

EPJ A Topical Collection devoted to the legacy of Peter Schuck
(EPJ A)

EPJ B Topical Issue: Superconducting Graphene
(EPJ B)

EPJ D Topical Issue: Electron and Positron Interactions and Their Applications: a tribute to Professor Michael Brunger
(EPJ D)

EPJ E Topical Issue: Endowing Active Particles with Artificial Intelligence
(EPJ E)

EPJ H Special Issue: History for Physics: Contextualizing modern developments in the foundations of quantum theory
(EPJ H)

EPJ N Topical Issue on Research Reactor use and projects on modeling and experimental breakthroughs for Advanced Nuclear Reactors
(EPJ N)

EPJ Plus Focus Point Issue: The Magic of Glass
(EPJ PLUS)

EPJ Quantum Technology - Open Calls for Papers
(EPJ QT)

EPJ ST Special Issue: Benchmarking Physics at Future Lepton Colliders in the Light of LHC
(EPJ ST)

EPJ Techniques and Instrumentation - Open Calls for Papers
(EPJ TI)