Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nilotpal Kakati"'
Autor:
Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Lukas Heinrich, Anna Ivina, Marumi Kado, Nilotpal Kakati, Lorenzo Santi, Jonathan Shlomi, Matteo Tusoni
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 83, Iss 7, Pp 1-18 (2023)
Abstract The task of reconstructing particles from low-level detector response data to predict the set of final state particles in collision events represents a set-to-set prediction task requiring the use of multiple features and their correlations
Externí odkaz:
https://doaj.org/article/c896e51991134f079b8f2a8c916decff
Autor:
Nathalie Soybelman, Nilotpal Kakati, Lukas Heinrich, Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Marumi Kado, Jonathan Shlomi
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 4, p 045036 (2023)
The simulation of particle physics data is a fundamental but computationally intensive ingredient for physics analysis at the large Hadron collider, where observational set-valued data is generated conditional on a set of incoming particles. To accel
Externí odkaz:
https://doaj.org/article/d10a6430beb64bd2b3a183547d0c0963
Autor:
Anton Charkin-Gorbulin, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Lukas Heinrich, Marumi Kado, Nilotpal Kakati, Patrick Rieck, Lorenzo Santi, Matteo Tusoni
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035042 (2023)
A configurable calorimeter simulation for AI (CoCoA) applications is presented, based on the Geant4 toolkit and interfaced with the Pythia event generator. This open-source project is aimed to support the development of machine learning algorithms in
Externí odkaz:
https://doaj.org/article/bede58be585a4a28af38667bb0881f11
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 78, Iss 11, Pp 1-10 (2018)
Abstract We evaluate the transport properties such as shear viscosity ($$\eta $$ η ), bulk viscosity ($$\zeta $$ ζ ) and their ratios over entropy density (s) for hadronic matter using relativistic non-extensive Boltzmann transport equation (NBTE)
Externí odkaz:
https://doaj.org/article/4c1c51921c04434c89c82da8c1124b5b
Publikováno v:
European Physical Journal
European Physical Journal C: Particles and Fields, Vol 78, Iss 11, Pp 1-10 (2018)
European Physical Journal C: Particles and Fields, Vol 78, Iss 11, Pp 1-10 (2018)
We evaluate the transport properties such as shear viscosity ($\eta$), bulk viscosity ($\zeta$) and their ratios over entropy density ($s$) for hadronic matter using relativistic non-extensive Boltzmann transport equation (NBTE) in relaxation time ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84e90da847c68455f7e1eab48bd302f4
https://doi.org/10.1140/epjc/s10052-018-6411-y
https://doi.org/10.1140/epjc/s10052-018-6411-y