Zobrazeno 1 - 10
of 2 178
pro vyhledávání: '"Kieseler Jan"'
Autor:
Aehle, Max, Nguyen, Xuan Tung, Novák, Mihály, Dorigo, Tommaso, Gauger, Nicolas R., Kieseler, Jan, Klute, Markus, Vassilev, Vassil
We have applied an operator-overloading forward-mode algorithmic differentiation tool to the Monte-Carlo particle simulation toolkit Geant4. Our differentiated version of Geant4 allows computing mean pathwise derivatives of user-defined outputs of Ge
Externí odkaz:
http://arxiv.org/abs/2407.02966
In recent years, neural network-based classification has been used to improve data analysis at collider experiments. While this strategy proves to be hugely successful, the underlying models are not commonly shared with the public and rely on experim
Externí odkaz:
http://arxiv.org/abs/2402.15558
Autor:
Araz, Jack Y., Buckley, Andy, Kasieczka, Gregor, Kieseler, Jan, Kraml, Sabine, Kvellestad, Anders, Lessa, Andre, Procter, Tomasz, Raklev, Are, Reyes-Gonzalez, Humberto, Rolbiecki, Krzysztof, Sekmen, Sezen, Unel, Gokhan
With the increasing usage of machine-learning in high-energy physics analyses, the publication of the trained models in a reusable form has become a crucial question for analysis preservation and reuse. The complexity of these models creates practica
Externí odkaz:
http://arxiv.org/abs/2312.14575
Publikováno v:
EPJ Web of Conferences, Vol 251, p 03072 (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. The planned CMS
Externí odkaz:
https://doaj.org/article/d48f5a1655a04727a9da5e9a36fd723e
Autor:
Aehle, Max, Arsini, Lorenzo, Barreiro, R. Belén, Belias, Anastasios, Bury, Florian, Cebrian, Susana, Demin, Alexander, Dickinson, Jennet, Donini, Julien, Dorigo, Tommaso, Doro, Michele, Gauger, Nicolas R., Giammanco, Andrea, Gray, Lindsey, González, Borja S., Kain, Verena, Kieseler, Jan, Kusch, Lisa, Liwicki, Marcus, Maier, Gernot, Nardi, Federico, Ratnikov, Fedor, Roussel, Ryan, de Austri, Roberto Ruiz, Sandin, Fredrik, Schenk, Michael, Scarpa, Bruno, Silva, Pedro, Strong, Giles C., Vischia, Pietro
In this article we examine recent developments in the research area concerning the creation of end-to-end models for the complete optimization of measuring instruments. The models we consider rely on differentiable programming methods and on the spec
Externí odkaz:
http://arxiv.org/abs/2310.05673
Autor:
Strong, Giles C., Lagrange, Maxime, Orio, Aitor, Bordignon, Anna, Bury, Florian, Dorigo, Tommaso, Giammanco, Andrea, Heikal, Mariam, Kieseler, Jan, Lamparth, Max, del Árbol, Pablo Martínez Ruíz, Nardi, Federico, Vischia, Pietro, Zaraket, Haitham
We describe a software package, TomOpt, developed to optimise the geometrical layout and specifications of detectors designed for tomography by scattering of cosmic-ray muons. The software exploits differentiable programming for the modeling of muon
Externí odkaz:
http://arxiv.org/abs/2309.14027
Autor:
Kieseler, Jan, Almeida, Pedro Goncalo Dias, Kaluzinska, Oliwia, Mühlnikel, Marie Christin, Diehl, Leena, Sicking, Eva, Zehetner, Phillip
The high luminosity upgrade of the LHC will provide unique physics opportunities, such as the observation of rare processes and precision measurements. However, the accompanying harsh radiation environment will also pose unprecedented challenged to t
Externí odkaz:
http://arxiv.org/abs/2211.04849
The running of the top quark mass ($m_\mathrm{t}$) is probed at the next-to-next-to-leading order (NNLO) in quantum chromodynamics (QCD) for the first time. The result is obtained by comparing calculations in the modified minimal subtraction ($\mathr
Externí odkaz:
http://arxiv.org/abs/2208.11399
Autor:
Qasim, Shah Rukh, Chernyavskaya, Nadezda, Kieseler, Jan, Long, Kenneth, Viazlo, Oleksandr, Pierini, Maurizio, Nawaz, Raheel
Publikováno v:
Eur. Phys. J. C 82, 753 (2022)
We present an end-to-end reconstruction algorithm to build particle candidates from detector hits in next-generation granular calorimeters similar to that foreseen for the high-luminosity upgrade of the CMS detector. The algorithm exploits a distance
Externí odkaz:
http://arxiv.org/abs/2204.01681