Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Diefenbacher, Sascha Daniel"'
Autor:
McKeown, Peter, Gaede, Frank, Krüger, Katja, Eren, Engin, Korol, Anatolii, Rustige, Lennart, Bieringer, Sebastian Guido, Buhmann, Erik, Diefenbacher, Sascha Daniel, Kasieczka, Gregor, Korcari, William, Shekhzadeh, Imahn
Publikováno v:
41st International Conference on High Energy Physics, ICHEP2022, Bologna, Italy, 2022-07-06-2022-07-13
Proceedings of Science / International School for Advanced Studies (ICHEP2022), 236 (2023). doi:10.22323/1.414.0236
Proceedings of Science / International School for Advanced Studies (ICHEP2022), 236 (2023). doi:10.22323/1.414.0236
41st International Conference on High Energy Physics, ICHEP2022, Bologna, Italy, 6 Jul 2022 - 13 Jul 2022; Proceedings of Science / International School for Advanced Studies (ICHEP2022), 236 (2022). doi:10.22323/1.414.0236
While simulation is a
While simulation is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c194562fbf9836b5898d5a73f7a1ac2
https://bib-pubdb1.desy.de/record/490323
https://bib-pubdb1.desy.de/record/490323
Autor:
Bieringer, Sebastian Guido, Anja Butter, Diefenbacher, Sascha Daniel, Eren, Engin, Gaede, Frank, Hundhausen, Daniel Christian, Kasieczka, Gregor, Nachman, Benjamin, Plehn, Tilman, Mathias Trabs, KIT
Motivated by the high computational costs of classical simulations, machine-learned gen- erative models can be extremely useful in particle physics and elsewhere. They become especially attractive when surrogate models can efficiently learn the under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecaa989b64c42b58120658101e4baebe
Autor:
McKeown, Peter, Gaede, Frank, Shekhzadeh, Imahn, Krüger, Katja, Engin, Eren, Korol, Anatolii, Rustige, Lennart, Buhmann, Erik, Diefenbacher, Sascha Daniel, Kasieczka, Gregor, Korcari, William
Publikováno v:
International workshop on the high energy Circular Electron-Positron Collider, (CEPC 2022), Beijing, IHEP, Peoples R China, 2022-10-24-2022-10-28
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1108::03a41adae637719adaa994f4b6ff8307
https://bib-pubdb1.desy.de/record/490221
https://bib-pubdb1.desy.de/record/490221
Autor:
Gaede, Frank, Kr��ger, Katja, Eren, Engin, Rustige, Lennart, McKeown, Peter, Buhmann, Erik, Diefenbacher, Sascha Daniel, Hundhausen, Daniel Christian, Kasieczka, Gregor, Korcari, William
Motivated by the computational limitations of simulating interactions of particles in highly-granular detectors, there exists a concerted effort to build fast and exact machine-learning-based shower simulators. This work reports progress on two impor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b099fe73d54853b22e0f08e9fe270e23
Autor:
Gaede, Frank, Eren, Engin, Krüger, Katja, Diefenbacher, Sascha Daniel, Korol, Anatolii, Kasieczka, Gregor, Buhmann, Erik
arxiv hep-ex (2020).
Accurate simulation of physical processes is crucial for the success of modern particle physics. However, simulating the development and interaction of particle showers with calorimeter detectors is a time consuming process
Accurate simulation of physical processes is crucial for the success of modern particle physics. However, simulating the development and interaction of particle showers with calorimeter detectors is a time consuming process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ddc5af7687b65714b12ea22f41af6c7