Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Machine Learning in High Energy Physics Community White Paper
Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
University of Florida.
OProject and University of Antioquia.
Rekke forfattare: 1192018 (engelsk)Inngår i: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 1085, artikkel-id 022008Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Institute of Physics (IOP), 2018. Vol. 1085, artikkel-id 022008
HSV kategori
Forskningsprogram
Industriell elektronik
Identifikatorer
URN: urn:nbn:se:ltu:diva-71316DOI: 10.1088/1742-6596/1085/2/022008ISI: 000467872200008OAI: oai:DiVA.org:ltu-71316DiVA, id: diva2:1258145
Konferanse
18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT2017)21–25 August 2017, Seattle, United States of America
Merknad

Konferensartikel i tidskrift

Tilgjengelig fra: 2018-10-24 Laget: 2018-10-24 Sist oppdatert: 2019-06-18bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekst

Personposter BETA

Albertsson, Kim

Søk i DiVA

Av forfatter/redaktør
Albertsson, Kim
Av organisasjonen
I samme tidsskrift
Journal of Physics, Conference Series

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 113 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf