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machine learning for Particle Physics

Deliverables

Data Management Plan

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

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Publications

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 Kha, Benjamin Krei, Brian Le, 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, 2019, ISSN 2510-2036

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