Zobrazeno 1 - 10
of 470
pro vyhledávání: '"Sanmay, Ganguly"'
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
Publikováno v:
SciPost Physics, Vol 14, Iss 4, p 079 (2023)
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predictions and interpretation. This review illustrates a wide range of applic
Externí odkaz:
https://doaj.org/article/3479be73aa7242cb9b86f165b65d5d9a
Autor:
Jonathan Shlomi, Sanmay Ganguly, Eilam Gross, Kyle Cranmer, Yaron Lipman, Hadar Serviansky, Haggai Maron, Nimrod Segol
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 81, Iss 6, Pp 1-12 (2021)
Abstract Jet classification is an important ingredient in measurements and searches for new physics at particle colliders, and secondary vertex reconstruction is a key intermediate step in building powerful jet classifiers. We use a neural network to
Externí odkaz:
https://doaj.org/article/6471bd8b59664f2b9825b875436f3664
Autor:
Adam Falkowski, Sanmay Ganguly, Phillippe Gras, Jose Miguel No, Kohsaku Tobioka, Natascia Vignaroli, Tevong You
Publikováno v:
Journal of High Energy Physics, Vol 2021, Iss 4, Pp 1-25 (2021)
Abstract Triple heavy vector boson production, pp → VVV (V = W, Z), has recently been observed for the first time. We propose that precision measurements of this process provide an excellent probe of the first generation light quark Yukawa coupling
Externí odkaz:
https://doaj.org/article/1ed76c11a34a4950889c18fd17d11591
Autor:
Francesco Armando Di Bello, Sanmay Ganguly, Eilam Gross, Marumi Kado, Michael Pitt, Lorenzo Santi, Jonathan Shlomi
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 81, Iss 2, Pp 1-14 (2021)
Abstract In High Energy Physics experiments Particle Flow (PFlow) algorithms are designed to provide an optimal reconstruction of the nature and kinematic properties of the particles produced within the detector acceptance during collisions. At the h
Externí odkaz:
https://doaj.org/article/73b3dff4599e4ae49ccbec1bc49483f1
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:
Proceedings of International Symposium on Grids & Clouds 2022 — PoS(ISGC2022).
Autor:
Subodh Kalia, Sanmay Ganguly, Supratik Mukhopadhyay, Andrew Michaelis, Shuang Li, Edward Collier, G. Shreekant, Geri Madanguit, Ramakrishna R. Nemani, Auroop R. Ganguly, Kate Duffy
Publikováno v:
Remote Sensing Letters. 12:439-448
With increase in urbanization and Earth Sciences research into urban areas, the need to quickly and accurately segment urban rooftop maps has never been greater. Current machine learning techniques...
Autor:
Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, Miller, David W., Daniel Murnane, Jan Tuzlić Offermann, Mariel Pettee, Phiala Shanahan, Chase Shimmin, Savannah Thais
Publikováno v:
Jan Tuzlić Offermann
Physical theories grounded in mathematical symmetries are an essential component of our understanding of a wide range of properties of the universe. Similarly, in the domain of machine learning, an awareness of symmetries such as rotation or permutat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d97018db7867269ab7971f4186d23d3