Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Giles C. Strong"'
Autor:
Tommaso Dorigo, Martina Fumanelli, Chiara Maccani, Marija Mojsovska, Giles C. Strong, Bruno Scarpa
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 1, Pp 1-46 (2023)
Abstract The unsupervised search for overdense regions in high-dimensional feature spaces, where locally high population densities may be associated with anomalous contaminations to an otherwise more uniform population, is of relevance to application
Externí odkaz:
https://doaj.org/article/f3918e2ba85e4322a75b47574f12bf36
Autor:
Tommaso Dorigo, Andrea Giammanco, Pietro Vischia, Max Aehle, Mateusz Bawaj, Alexey Boldyrev, Pablo de Castro Manzano, Denis Derkach, Julien Donini, Auralee Edelen, Federica Fanzago, Nicolas R. Gauger, Christian Glaser, Atılım G. Baydin, Lukas Heinrich, Ralf Keidel, Jan Kieseler, Claudius Krause, Maxime Lagrange, Max Lamparth, Lukas Layer, Gernot Maier, Federico Nardi, Helge E.S. Pettersen, Alberto Ramos, Fedor Ratnikov, Dieter Röhrich, Roberto Ruiz de Austri, Pablo Martínez Ruiz del Árbol, Oleg Savchenko, Nathan Simpson, Giles C. Strong, Angela Taliercio, Mia Tosi, Andrey Ustyuzhanin, Haitham Zaraket
Publikováno v:
Reviews in Physics, Vol 10, Iss , Pp 100085- (2023)
The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, due to the large dimensionality of the space of possible choices for geometry, detection tech
Externí odkaz:
https://doaj.org/article/226f133fd21c4e9e8e0f30edd0daec70
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 82, Iss 1, Pp 1-26 (2022)
Abstract The performance demands of future particle-physics experiments investigating the high-energy frontier pose a number of new challenges, forcing us to find improved solutions for the detection, identification, and measurement of final-state pa
Externí odkaz:
https://doaj.org/article/6222f6046d574382bf28fc96ba8e7800
Autor:
Anna Stakia, Tommaso Dorigo, Giovanni Banelli, Daniela Bortoletto, Alessandro Casa, Pablo de Castro, Christophe Delaere, Julien Donini, Livio Finos, Michele Gallinaro, Andrea Giammanco, Alexander Held, Fabricio Jiménez Morales, Grzegorz Kotkowski, Seng Pei Liew, Fabio Maltoni, Giovanna Menardi, Ioanna Papavergou, Alessia Saggio, Bruno Scarpa, Giles C. Strong, Cecilia Tosciri, João Varela, Pietro Vischia, Andreas Weiler
Publikováno v:
Reviews in Physics, Vol 7, Iss , Pp 100063- (2021)
Between the years 2015 and 2019, members of the Horizon 2020-funded Innovative Training Network named “AMVA4NewPhysics” studied the customization and application of advanced multivariate analysis methods and statistical learning tools to high-ene
Externí odkaz:
https://doaj.org/article/25b70fead16849348ede3777110406cd
Autor:
Tommaso Dorigo, Andrea Giammanco, Pietro Vischia, Max Aehle, Mateusz Bawaj, Alexey Boldyrev, Pablo de Castro Manzano, Denis Derkach, Julien Donini, Auralee Edelen, Federica Fanzago, Nicolas R. Gauger, Christian Glaser, Atılım G. Baydin, Lukas Heinrich, Ralf Keidel, Jan Kieseler, Claudius Krause, Maxime Lagrange, Max Lamparth, Lukas Layer, Gernot Maier, Federico Nardi, Helge E.S. Pettersen, Alberto Ramos, Fedor Ratnikov, Dieter Röhrich, Roberto Ruiz de Austri, Pablo Martínez Ruiz del Árbol, Oleg Savchenko, Nathan Simpson, Giles C. Strong, Angela Taliercio, Mia Tosi, Andrey Ustyuzhanin, Haitham Zaraket
The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, due to the large dimensionality of the space of possible choices for geometry, detection tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5260d6e0d4fb24e1e0490ed34d919bb1
http://cds.cern.ch/record/2807001
http://cds.cern.ch/record/2807001
Publikováno v:
EPJC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::86474d7b424d81e1d8a0b161bf1b8641
Autor:
Giles C Strong, Maxime Lagrange, Aitor Orio, Anna Bordignon, Florian Bury, Tommaso Dorigo, Andrea Giammanco, Mariam Heikal, Jan Kieseler, Max Lamparth, Pablo Martínez Ruíz del Árbol, Federico Nardi, Pietro Vischia, Haitham Zaraket
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035002 (2024)
We describe a software package, TomOpt, developed to optimise the geometrical layout and specifications of detectors designed for tomography by scattering of cosmic-ray muons. The software exploits differentiable programming for the modeling of muon
Externí odkaz:
https://doaj.org/article/b5fd5028d124413e83af68a527d8d56d