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pro vyhledávání: '"charged particle tracking"'
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective
Measurement and analysis of high energetic particles for scientific, medical or industrial applications is a complex procedure, requiring the design of sophisticated detector and data processing systems. The development of adaptive and differentiable
Externí odkaz:
http://arxiv.org/abs/2407.13420
Autor:
Topolnicki, Kacper, Bold, Tomasz
This paper describes a procedure for a realistic estimation of the number of iterations in the main loop of a recent particle detection algorithm from [1]. The calculations are based on a Monte Carlo simulation of the ATLAS inner detector. The result
Externí odkaz:
http://arxiv.org/abs/2402.07142
Akademický článek
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Autor:
Lieret, Kilian, DeZoort, Gage
Recent work has demonstrated that graph neural networks (GNNs) trained for charged particle tracking can match the performance of traditional algorithms while improving scalability to prepare for the High Luminosity LHC experiment. Most approaches ar
Externí odkaz:
http://arxiv.org/abs/2309.16754
Autor:
Kawasaki, Akio
Charged particle tracking has played a key role in the development of particle physics, particularly for understanding phenomena involving short-lived particles precisely. As a new platform for high resolution charged particle tracking, an array of R
Externí odkaz:
http://arxiv.org/abs/2304.14813
Graph neural networks (GNNs) have gained traction in high-energy physics (HEP) for their potential to improve accuracy and scalability. However, their resource-intensive nature and complex operations have motivated the development of symmetry-equivar
Externí odkaz:
http://arxiv.org/abs/2304.05293
Autor:
Kelleter, L., Schmidt, S., Subramanian, M., Marek, L., Granja, C., Jakubek, J., Jäkel, O., Debus, J., Martisikova, M.
Publikováno v:
In Radiation Measurements April 2024 173
The determination of charged particle trajectories (tracking) in collisions at the CERN Large Hadron Collider (LHC) is one of the most important aspects for event reconstruction at hadron colliders. This is especially true in the high conditions expe
Externí odkaz:
http://arxiv.org/abs/2212.02348
Autor:
Ajuha, Sudha, Shinoda, Ailton Akira, Ramalho, Lucas Arruda, Baulieu, Guillaume, Boudoul, Gaelle, Casarsa, Massimo, Cascadan, Andre, Clement, Emyr, de Paiva, Thiago Costa, Das, Souvik, Dutta, Suchandra, Eusebi, Ricardo, Fedi, Giacomo, Ferreira, Vitor Finotti, Hahn, Kristian, Hu, Zhen, Jindariani, Sergo, Konigsberg, Jacobo, Liu, Tiehui, Low, Jia Fu, MacDonald, Emily, Olsen, Jamieson, Palla, Fabrizio, Pozzobon, Nicola, Rathjens, Denis, Ristori, Luciano, Rossin, Roberto, Sung, Kevin, Tran, Nhan, Trovato, Marco, Ulmer, Keith, Vaz, Mario, Viret, Sebastien, Wu, Jin-Yuan, Xu, Zijun, Zorzetti, Silvia
We present a flexible and scalable approach to address the challenges of charged particle track reconstruction in real-time event filters (Level-1 triggers) in collider physics experiments. The method described here is based on a full-mesh architectu
Externí odkaz:
http://arxiv.org/abs/2210.02489
Autor:
Elabd, Abdelrahman, Razavimaleki, Vesal, Huang, Shi-Yu, Duarte, Javier, Atkinson, Markus, DeZoort, Gage, Elmer, Peter, Hauck, Scott, Hu, Jin-Xuan, Hsu, Shih-Chieh, Lai, Bo-Cheng, Neubauer, Mark, Ojalvo, Isobel, Thais, Savannah, Trahms, Matthew
Publikováno v:
Front. Big Data 5 (2022) 828666
The determination of charged particle trajectories in collisions at the CERN Large Hadron Collider (LHC) is an important but challenging problem, especially in the high interaction density conditions expected during the future high-luminosity phase o
Externí odkaz:
http://arxiv.org/abs/2112.02048