Machine Learning in High Energy Physics Community White Paper
Albertsson, Kim; Altoe, Piero; Anderson, Dustin; Andrews, Michael; Espinosa, Juan Pedro Araque; Aurisano, Adam; Basara, Laurent; Bevan, Adrian; Bhimji, Wahid; Bonacorsi, Daniele; Calafiura, Paolo; Campanelli, Mario; Capps, Louis; Carminati, Federico; Carrazza, Stefano; Childers, Taylor; Coniavitis, Elias; Cranmer, Kyle; David, Claire; Davis, Douglas; Duarte, Javier; Erdmann, Martin; Eschle, Jonas; Farbin, Amir; Feickert, Matthew; Castro, Nuno Filipe; Fitzpatrick, Conor; Floris, Michele; Forti, Alessandra; Garra-Tico, Jordi; Gemmler, Jochen; Girone, Maria; Glaysher, Paul; Gleyzer, Sergei; Gligorov, Vladimir; Golling, Tobias; Graw, Jonas; Gray, Lindsey; Greenwood, Dick; Hacker, Thomas; Harvey, John; Hegner, Benedikt; Heinrich, Lukas; Hooberman, Ben; Junggeburth, Johannes; Kagan, Michael; Kane, Meghan; Kanishchev, Konstantin; Karpinski, Przemyslaw; Kassabov, Zahari; Kaul, Gaurav; Kcira, Dorian; Keck, Thomas; Klimentov, Alexei; Kowalkowski, Jim; Kreczko, Luke; Kurepin, Alexander; Kutschke, Rob; Kuznetsov, Valentin; Kohler, Nicolas; Lakomov, Igor; Lannon, Kevin; Lassnig, Mario; Limosani, Antonio; Louppe, Gilles; Mangu, Aashrita; Mato, Pere; Meinhard, Helge; Menasce, Dario; Moneta, Lorenzo; Moortgat, Seth; Narain, Meenakshi; Neubauer, Mark; Newman, Harvey; Pabst, Hans; Paganini, Michela; Paulini, Manfred; Perdue, Gabriel; Perez, Uzziel; Picazio, Attilio; Pivarski, Jim; Prosper, Harrison; Psihas, Fernanda; Radovic, Alexander; Reece, Ryan; Rinkevicius, Aurelius; Rodrigues, Eduardo; Rorie, Jamal; Rousseau, David; Sauers, Aaron; Schramm, Steven; Schwartzman, Ariel; Severini, Horst; Seyfert, Paul; Siroky, Filip; Skazytkin, Konstantin; Sokoloff, Mike; Stewart, Graeme; Stienen, Bob; Stockdale, Ian; Strong, Giles; Thais, Savannah; Tomko, Karen; Upfal, Eli; Usai, Emanuele; Ustyuzhanin, Andrey; Vala, Martin; Vallecorsa, Sofia; Vasel, Justin; Verzetti, Mauro; Vilasis-Cardona, Xavier; Vlimant, Jean-Roch; Vukotic, Ilija; Wang, Sean-Jiun; Watts, Gordon; Williams, Michael; Wu, Wenjing; Wunsch, Stefan; Zapata, Omar
2018
Abstract
Machine learning is an important applied research area in particle physics, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s. In this document we discuss promising future research and development areas in machine learning in particle physics with a roadmap for their implementation, software and hardware resource requirements, collaborative initiatives with the data science community, academia and industry, and training the particle physics community in data science. The main objective of the document is to connect and motivate these areas of research and development with the physics drivers of the High-Luminosity Large Hadron Collider and future neutrino experiments and identify the resource needs for their implementation. Additionally we identify areas where collaboration with external communities will be of great benefit.
Details
Title
Machine Learning in High Energy Physics Community White Paper
Author(s)
Albertsson, Kim ; Altoe, Piero ; Anderson, Dustin ; Andrews, Michael ; Espinosa, Juan Pedro Araque ; Aurisano, Adam ; Basara, Laurent ; Bevan, Adrian ; Bhimji, Wahid ; Bonacorsi, Daniele ; Calafiura, Paolo ; Campanelli, Mario ; Capps, Louis ; Carminati, Federico ; Carrazza, Stefano ; Childers, Taylor ; Coniavitis, Elias ; Cranmer, Kyle ; David, Claire ; Davis, Douglas ; Duarte, Javier ; Erdmann, Martin ; Eschle, Jonas ; Farbin, Amir ; Feickert, Matthew ; Castro, Nuno Filipe ; Fitzpatrick, Conor ; Floris, Michele ; Forti, Alessandra ; Garra-Tico, Jordi ; Gemmler, Jochen ; Girone, Maria ; Glaysher, Paul ; Gleyzer, Sergei ; Gligorov, Vladimir ; Golling, Tobias ; Graw, Jonas ; Gray, Lindsey ; Greenwood, Dick ; Hacker, Thomas ; Harvey, John ; Hegner, Benedikt ; Heinrich, Lukas ; Hooberman, Ben ; Junggeburth, Johannes ; Kagan, Michael ; Kane, Meghan ; Kanishchev, Konstantin ; Karpinski, Przemyslaw ; Kassabov, Zahari ; Kaul, Gaurav ; Kcira, Dorian ; Keck, Thomas ; Klimentov, Alexei ; Kowalkowski, Jim ; Kreczko, Luke ; Kurepin, Alexander ; Kutschke, Rob ; Kuznetsov, Valentin ; Kohler, Nicolas ; Lakomov, Igor ; Lannon, Kevin ; Lassnig, Mario ; Limosani, Antonio ; Louppe, Gilles ; Mangu, Aashrita ; Mato, Pere ; Meinhard, Helge ; Menasce, Dario ; Moneta, Lorenzo ; Moortgat, Seth ; Narain, Meenakshi ; Neubauer, Mark ; Newman, Harvey ; Pabst, Hans ; Paganini, Michela ; Paulini, Manfred ; Perdue, Gabriel ; Perez, Uzziel ; Picazio, Attilio ; Pivarski, Jim ; Prosper, Harrison ; Psihas, Fernanda ; Radovic, Alexander ; Reece, Ryan ; Rinkevicius, Aurelius ; Rodrigues, Eduardo ; Rorie, Jamal ; Rousseau, David ; Sauers, Aaron ; Schramm, Steven ; Schwartzman, Ariel ; Severini, Horst ; Seyfert, Paul ; Siroky, Filip ; Skazytkin, Konstantin ; Sokoloff, Mike ; Stewart, Graeme ; Stienen, Bob ; Stockdale, Ian ; Strong, Giles ; Thais, Savannah ; Tomko, Karen ; Upfal, Eli ; Usai, Emanuele ; Ustyuzhanin, Andrey ; Vala, Martin ; Vallecorsa, Sofia ; Vasel, Justin ; Verzetti, Mauro ; Vilasis-Cardona, Xavier ; Vlimant, Jean-Roch ; Vukotic, Ilija ; Wang, Sean-Jiun ; Watts, Gordon ; Williams, Michael ; Wu, Wenjing ; Wunsch, Stefan ; Zapata, Omar
Published in
18Th International Workshop On Advanced Computing And Analysis Techniques In Physics Research (Acat2017)
Series
Journal of Physics Conference Series
Volume
1085
Pages
022008
Conference
18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT), Seattle, WA, Aug 21-25, 2017
Date
2018-01-01
Publisher
Bristol, IOP PUBLISHING LTD
ISSN
1742-6588
1742-6596
1742-6596
Other identifier(s)
View record in Web of Science
Laboratories
LPHE
Record Appears in
Scientific production and competences > SB - School of Basic Sciences > IPHYS - Institute of Physics > LPHE - High Energy Physics Laboratory
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date
2019-06-18