Results 1 to 10 of about 171,003 (258)

Calorimeters in astro and particle physics [PDF]

Journal of Physics G: Nuclear and Particle Physics, 2005
In this article an attempt is made to review some of the original works leading to new developments of calorimeters which are so widely and successfully used in astro and particle physics experiments. This report is far from being complete and the author apologizes for omissions and misquotations.
Klaus Pretzl
core   +6 more sources

Crystal calorimeters for particle physics [PDF]

Nuclear Physics B - Proceedings Supplements, 1995
This report reviews the design characteristics of crystal calorimeters for high energy physics. The unique physics capability of these detectors is the result of their excellent energy resolution, uniform hermetic coverage and fine granularity. To maintain crystal's resolution in situ radiation hardness is a principle requirement.
Ren-yuan Zhu, G. Gratta, H. Newman
  +10 more sources

Including Calorimeter Test Beams in Geant-val—The Physics Validation Testing Suite of Geant4

Instruments, 2022
The Geant4 simulation toolkit is currently adopted by many particle physics experiments, including those at the Large Hadron Collider and the ones proposed for future lepton and hadron colliders.
Lorenzo Pezzotti, Andrey Kiryunin, Dmitri Konstantinov, Alberto Ribon, Pavol Strizenec, on behalf of the Geant4 Collaboration   +5 more
doaj   +2 more sources

Towards a Large Calorimeter Based on Lyso Crystals for Future High Energy Physics

Instruments, 2022
The state-of-the-art research at the intensity frontier of particle physics aims to find evidence for new physics beyond the Standard Model by searching for faint signals in a vast amount of background. To this end, detectors with excellent resolution in
Patrick Schwendimann, Andrea Gurgone, Angela Papa   +2 more
doaj   +2 more sources

Cryogenic calorimeters in astro and particle physics [PDF]

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2000
The development of cryogenic calorimeters was originally motivated by the fact that very low energy thresholds and excellent energy resolutions can be achieved by these devices. Cryogenic devices are widely used in double beta decay experiments, in cosmological dark matter searches, in x-ray detection of galactic and extragalactic objects as well as in
K. Pretzl
openaire   +4 more sources

Physics and applications of metallic magnetic calorimeters for particle detection [PDF]

Journal of Physics: Conference Series, 2009
An increasing number of experiments and applications employ low temperature particle detectors. Following the calorimetric detection principles, the energy released in the detector leads to a temperature increase which is measured by a very sensitive sensor.
Fleischmann, L., Linck, M., Burck, A., Domesle, C., Kempf, S., Rodrigues, M., Pabinger, A., Pies, C., Porst, J. P., Rotzinger, H., Schäfer, S., Weldle, R., Fleischmann, A., Enss, C., Seidel, G. M.   +14 more
openaire   +3 more sources

Calorimetry with deep learning: particle simulation and reconstruction for collider physics [PDF]

European Physical Journal C: Particles and Fields, 2020
Using detailed simulations of calorimeter showers as training data, we investigate the use of deep learning algorithms for the simulation and reconstruction of single isolated particles produced in high-energy physics collisions. We train neural networks
Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang   +15 more
doaj   +2 more sources

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics [PDF]

Frontiers in Big Data, 2021
Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering.
Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Nhan Tran, Edward Kreinar, Zhenbin Wu   +25 more
doaj   +2 more sources

Multi-particle reconstruction in the High Granularity Calorimeter using object condensation and graph neural networks [PDF]

EPJ Web of Conferences, 2021
The high-luminosity upgrade of the LHC will come with unprecedented physics and computing challenges. One of these challenges is the accurate reconstruction of particles in events with up to 200 simultaneous protonproton interactions.
Qasim Shah Rukh, Long Kenneth, Kieseler Jan, Pierini Maurizio, Nawaz Raheel   +4 more
doaj   +3 more sources

New angles on fast calorimeter shower simulation [PDF]

Machine Learning: Science and Technology, 2023
The demands placed on computational resources by the simulation requirements of high energy physics experiments motivate the development of novel simulation tools.
Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Krüger, Peter McKeown, Lennart Rustige   +7 more
doaj   +2 more sources