machine learning for Particle Physics

Deliverables

Open Research Data Pilot (1)

Data Management Plan

Document describing plans for open-access dataset publication, in relation to the working packages of this project

Publications

Peer reviewed articles (13)

Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML

Author(s): Giuseppe Di Guglielmo, Javier Mauricio Duarte, Philip Harris, Duc Hoang, Sergo Jindariani, Edward Kreinar, Mia Liu, Vladimir Loncar, Jennifer Ngadiuba, Kevin Pedro, Maurizio Pierini, Dylan Sheldon Rankin, Sheila Sagear, Sioni Paris Summers, Nhan Tran, Zhenbin Wu
Published in: Machine Learning: Science and Technology, 2020, ISSN 2632-2153
DOI: 10.1088/2632-2153/aba042

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

Author(s): 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, Matt Zhang
Published in: The European Physical Journal C, Issue 80/7, 2020, ISSN 1434-6044
DOI: 10.1140/epjc/s10052-020-8251-9

Fast inference of Boosted Decision Trees in FPGAs for particle physics

Author(s): S. Summers, G. Di Guglielmo, J. Duarte, P. Harris, D. Hoang, S. Jindariani, E. Kreinar, V. Loncar, J. Ngadiuba, M. Pierini, D. Rankin, N. Tran, Z. Wu
Published in: Journal of Instrumentation, Issue 15/05, 2020, Page(s) P05026-P05026, ISSN 1748-0221
DOI: 10.1088/1748-0221/15/05/p05026

JEDI-net: a jet identification algorithm based on interaction networks

Author(s): Eric A. Moreno, Olmo Cerri, Javier M. Duarte, Harvey B. Newman, Thong Q. Nguyen, Avikar Periwal, Maurizio Pierini, Aidana Serikova, Maria Spiropulu, Jean-Roch Vlimant
Published in: The European Physical Journal C, Issue 80/1, 2020, ISSN 1434-6044
DOI: 10.1140/epjc/s10052-020-7608-4

Learning representations of irregular particle-detector geometry with distance-weighted graph networks

Author(s): Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini
Published in: The European Physical Journal C, Issue 79/7, 2019, ISSN 1434-6044
DOI: 10.1140/epjc/s10052-019-7113-9

Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC

Author(s): T. Q. Nguyen, D. Weitekamp, D. Anderson, R. Castello, O. Cerri, M. Pierini, M. Spiropulu, J-R. Vlimant
Published in: Computing and Software for Big Science, Issue 3/1, 2019, ISSN 2510-2036
DOI: 10.1007/s41781-019-0028-1

Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider

Author(s): Adrian Alan Pol, Gianluca Cerminara, Cecile Germain, Maurizio Pierini, Agrima Seth
Published in: Computing and Software for Big Science, Issue 3/1, 2019, ISSN 2510-2036
DOI: 10.1007/s41781-018-0020-1

Fast inference of deep neural networks in FPGAs for particle physics

Author(s): J. Duarte, S. Han, P. Harris, S. Jindariani, E. Kreinar, B. Kreis, J. Ngadiuba, M. Pierini, R. Rivera, N. Tran, Z. Wu
Published in: Journal of Instrumentation, Issue 13/07, 2018, Page(s) P07027-P07027, ISSN 1748-0221
DOI: 10.1088/1748-0221/13/07/P07027

Pileup mitigation at the Large Hadron Collider with graph neural networks

Author(s): J. Arjona Martínez, O. Cerri, M. Spiropulu, J. R. Vlimant, M. Pierini
Published in: The European Physical Journal Plus, Issue 134/7, 2019, ISSN 2190-5444
DOI: 10.1140/epjp/i2019-12710-3

Variational autoencoders for new physics mining at the Large Hadron Collider

Author(s): Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
Published in: Journal of High Energy Physics, Issue 2019/5, 2019, ISSN 1029-8479
DOI: 10.1007/JHEP05(2019)036

FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing

Author(s): Javier Duarte, Philip Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Suffian Khan, Benjamin Kreis, Brian Lee, Mia Liu, Vladimir Lončar, Jennifer Ngadiuba, Kevin Pedro, Brandon Perez, Maurizio Pierini, Dylan Rankin, Nhan Tran, Matthew Trahms, Aristeidis Tsaris, Colin Versteeg, Ted W. Way, Dustin Werran, Zhenbin Wu
Published in: Computing and Software for Big Science, Issue 3/1, 2019, ISSN 2510-2036
DOI: 10.1007/s41781-019-0027-2

The DNNLikelihood: enhancing likelihood distribution with Deep Learning

Author(s): Andrea Coccaro, Maurizio Pierini, Luca Silvestrini, Riccardo Torre
Published in: The European Physical Journal C, Issue 80/7, 2020, ISSN 1434-6044
DOI: 10.1140/epjc/s10052-020-8230-1

Interaction networks for the identification of boosted H → b b ¯ decays

Author(s): Eric A. Moreno, Thong Q. Nguyen, Jean-Roch Vlimant, Olmo Cerri, Harvey B. Newman, Avikar Periwal, Maria Spiropulu, Javier M. Duarte, Maurizio Pierini
Published in: Physical Review D, Issue 102/1, 2020, ISSN 2470-0010
DOI: 10.1103/physrevd.102.012010

Conference proceedings (2)

Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment

Author(s): Pol, Adrian,; Berger, Victor; Cerminara, Gianluca; Germain, Cécile; Pierini, Maurizio
Published in: https://hal.inria.fr/hal-02428005, Issue 8, 2019

Anomaly Detection with Conditional Variational Autoencoders

Author(s): Adrian Alan Pol, Victor Berger, Cecile Germain, Gianluca Cerminara, Maurizio Pierini
Published in: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019, Page(s) 1651-1657
DOI: 10.1109/icmla.2019.00270

Thesis dissertations (1)

Machine Learning Anomaly Detection Applications to Compact Muon Solenoid Data Quality Monitoring

Author(s): Pol, Adrian Alan
Published in: https://tel.archives-ouvertes.fr/tel-02924477, Issue 5, 2020

Other (1)

LHC analysis-specific datasets with Generative Adversarial Networks

Author(s): Hashemi, Bobak; Amin, Nick; Datta, Kaustuv; Olivito, Dominick; Pierini, Maurizio
Published in: Issue 1, 2019