Results 41 to 50 of about 208,521 (191)

Configurable calorimeter simulation for AI applications

Machine Learning: Science and Technology, 2023
A configurable calorimeter simulation for AI (CoCoA) applications is presented, based on the Geant4 toolkit and interfaced with the Pythia event generator.
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   +11 more
doaj   +1 more source

The use of minimal spanning trees in particle physics [PDF]

, 2016
Minimal spanning trees (MSTs) have been used in cosmology and astronomy to distinguish distributions of points in a multi-dimensional space. They are essentially unknown in particle physics, however. We briefly define MSTs and illustrate their properties
J. Rainbolt, M. Schmitt
semanticscholar   +1 more source

Exploring End-to-end Deep Learning Applications for Event Classification at CMS [PDF]

EPJ Web of Conferences, 2019
An essential part of new physics searches at the Large Hadron Collider (LHC) at CERN involves event classification, or distinguishing potential signal events from those coming from background processes. Current machine learning techniques accomplish this
Andrews Michael, Paulini Manfred, Gleyzer Sergei, Poczos Barnabas   +3 more
doaj   +1 more source

Event generation with Sherpa 2.2 [PDF]

SciPost Physics, 2019
Sherpa is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments. We summarise essential features and improvements of the Sherpa 2.2 release series, which is heavily used for event ...
E. Bothmann, G. Chahal, S. Hoche, Johannes Krause, F. Krauss, S. Kuttimalai, Sebastian Liebschner, D. Napoletano, M. Schonherr, H. Schulz, S. Schumann, Frank Siegert   +11 more
semanticscholar   +1 more source

Attention to the strengths of physical interactions: Transformer and graph-based event classification for particle physics experiments

SciPost Physics
A major task in particle physics is the measurement of rare signal processes. Even modest improvements in background rejection, at a fixed signal efficiency, can significantly enhance the measurement sensitivity. Building on prior research by others that
Luc Builtjes, Sascha Caron, Polina Moskvitina, Clara Nellist, Roberto Ruiz de Austri, Rob Verheyen, Zhongyi Zhang
doaj   +1 more source

The Top-Quark Mass: Challenges in Definition and Determination

Frontiers in Physics, 2019
The top-quark mass is a parameter of paramount importance in particle physics, playing a crucial role in the electroweak precision tests and in the stability of the Standard Model vacuum.
Gennaro Corcella
doaj   +1 more source

Collider events on a quantum computer

Journal of High Energy Physics, 2022
High-quality simulated data is crucial for particle physics discoveries. Therefore, parton shower algorithms are a major building block of the data synthesis in event generator programs.
Gösta Gustafson, Stefan Prestel, Michael Spannowsky, Simon Williams   +3 more
doaj   +1 more source

Ranking-based neural network for ambiguity resolution in ACTS [PDF]

EPJ Web of Conferences
The reconstruction of particle trajectories is a key challenge of particle physics experiments, as it directly impacts particle identification and physics performances while also representing one of the main CPU consumers of many high-energy physics ...
Allaire Corentin, Bouvet Françoise, Grasland Hadrien, Rousseau David   +3 more
doaj   +1 more source

Scintillation in Low-Temperature Particle Detectors

Physics, 2021
Inorganic crystal scintillators play a crucial role in particle detection for various applications in fundamental physics and applied science. The use of such materials as scintillating bolometers, which operate at temperatures as low as 10 mK and detect
Denys Poda
doaj   +1 more source

The Heavy Photon Search (HPS) Software Environment [PDF]

EPJ Web of Conferences, 2020
The Heavy Photon Search (HPS) is an experiment at the Thomas Jefferson National Accelerator Facility (JLab) designed to search for a hidden sector photon (A’) in fixed-target electro-production.
Graf Norman
doaj   +1 more source