Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Isobel Ojalvo"'
Autor:
Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang, Javier Duarte, Markus Atkinson, Gage DeZoort, Peter Elmer, Scott Hauck, Jin-Xuan Hu, Shih-Chieh Hsu, Bo-Cheng Lai, Mark Neubauer, Isobel Ojalvo, Savannah Thais, Matthew Trahms
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
The determination of charged particle trajectories in collisions at the CERN Large Hadron Collider (LHC) is an important but challenging problem, especially in the high interaction density conditions expected during the future high-luminosity phase o
Externí odkaz:
https://doaj.org/article/3539277e3915499d865f3af74e494f03
Autor:
Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang, Javier Duarte, Markus Atkinson, Gage DeZoort, Peter Elmer, Scott Hauck, Jin-Xuan Hu, Shih-Chieh Hsu, Bo-Cheng Lai, Mark Neubauer, Isobel Ojalvo, Savannah Thais, Matthew Trahms
Publikováno v:
Frontiers in big data. 5
The determination of charged particle trajectories in collisions at the CERN Large Hadron Collider (LHC) is an important but challenging problem, especially in the high interaction density conditions expected during the future high-luminosity phase o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::decd6ad1d14302844f56ead29a1ed530
https://pubmed.ncbi.nlm.nih.gov/35402906
https://pubmed.ncbi.nlm.nih.gov/35402906
Autor:
Markus Atkinson, Vesal Razavimaleki, Javier Duarte, Isobel Ojalvo, Peter Elmer, Gage Dezoort, Mark Neubauer, Savannah Thais
Publikováno v:
Computing and Software for Big Science. 5
Recent work has demonstrated that geometric deep learning methods such as graph neural networks (GNNs) are well suited to address a variety of reconstruction problems in high energy particle physics. In particular, particle tracking data is naturally
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49a3f925f3cbe325757f5bd42c0bff09
https://doi.org/10.1007/s41781-021-00073-z
https://doi.org/10.1007/s41781-021-00073-z
Autor:
Hind Al Ali, Nima Arkani-Hamed, Ian Banta, Sean Benevedes, Dario Buttazzo, Tianji Cai, Junyi Cheng, Timothy Cohen, Nathaniel Craig, Majid Ekhterachian, JiJi Fan, Matthew Forslund, Isabel Garcia Garcia, Samuel Homiller, Seth Koren, Giacomo Koszegi, Zhen Liu, Qianshu Lu, Kun-Feng Lyu, Alberto Mariotti, Amara McCune, Patrick Meade, Isobel Ojalvo, Umut Oktem, Diego Redigolo, Matthew Reece, Filippo Sala, Raman Sundrum, Dave Sutherland, Andrea Tesi, Timothy Trott, Chris Tully, Lian-Tao Wang, Menghang Wang
Publikováno v:
Reports on Progress in Physics. 85:084201
We lay out a comprehensive physics case for a future high-energy muon collider, exploring a range of collision energies (from 1 to 100 TeV) and luminosities. We highlight the advantages of such a collider over proposed alternatives. We show how one c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93560e190b394ed1fa2f291774bde978
https://doi.org/10.1088/1361-6633/ac6678
https://doi.org/10.1088/1361-6633/ac6678
Autor:
Que, Zhiqiang, Fan, Hongxiang, Loo, Marcus, Li, He, Blott, Michaela, Pierini, Maurizio, Tapper, Alexander, Luk, Wayne
Publikováno v:
ACM Transactions on Embedded Computing Systems; Mar2024, Vol. 23 Issue 2, p1-28, 28p
Publikováno v:
Chronicle of Higher Education. 12/21/2018, Vol. 65 Issue 16, p1-1. 1p.