Our knowledge of the fundamental particles of nature and their interactions is summarized by the standard model of particle physics. Advancing our understanding in this field has …
G Louppe, K Cho, C Becot, K Cranmer - Journal of High Energy Physics, 2019 - Springer
A bstract Recent progress in applying machine learning for jet physics has been built upon an analogy between calorimeters and images. In this work, we present a novel class of …
J Barnard, EN Dawe, MJ Dolan, N Rajcic - Physical Review D, 2017 - APS
Machine learning methods incorporating deep neural networks have been the subject of recent proposals for new hadronic resonance taggers. These methods require training on a …
In quantum information science, a major challenge is to look for an efficient means for classifying quantum states. An attractive proposal is to utilize Bell's inequality as an …
K Goswami, S Prasad, N Mallick, R Sahoo… - Physical Review D, 2024 - APS
In proton-proton and heavy-ion collisions, the study of charm hadrons plays a pivotal role in understanding the QCD medium and provides an undisputed testing ground for the theory of …
D Turvill, L Barnby, B Yuan… - 2020 IEEE/ACM …, 2020 - ieeexplore.ieee.org
Data intensive studies in the domain of accelerator-based High Energy Physics, HEP, have become increasingly more achievable due to the emergence of machine learning with high …
Y Louzoun, S Solomon, H Atlan, IR Cohen - Bulletin of mathematical …, 2003 - Springer
We study the emergence of collective spatio-temporal objects in biological systems by representing individually the elementary interactions between their microscopic …
G Li, Z Li, Y Wang, Y Wang - Physical Review D, 2019 - APS
In this paper we propose to use convolutional neural networks (CNNs) to improve the precision measurement of the Higgs boson-gluon effective coupling at lepton colliders. The …
A Román, B Campillo, H Martínez… - International Journal of …, 2019 - academia.edu
Stacking fault energy (SFE) is an important parameter to be considered in the design of austenitic stainless steels (SS) due to its influence on magnetic susceptibility, atomic order …