Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Snuverink Jochem"'
Autor:
Kiselev Daniela, Baumann Pedro, Duperrex Pierre-André, Haj Tahar Malek, Jollet Sven, Knecht Andreas, Laube Daniel, Reggiani Davide, Snuverink Jochem, Sobbia Raffaello, Talanov Vadim
Publikováno v:
EPJ Web of Conferences, Vol 285, p 07002 (2023)
The high intensity proton accelerator complex (HIPA) at the Paul Scherrer Institute (PSI) delivers a 590 MeV CW proton beam with currents up to 2.4 mA (1.4 MW). Besides two spallation targets for thermal/cold neutrons (SINQ) and for ultracold neutron
Externí odkaz:
https://doaj.org/article/198177e172744f5a8ea81b645c893f89
Autor:
Dal Maso Giovanni, Gabard Alexander, Haj Tahar Malek, Kettle Peter-Raymond, Kirch Klaus, Kiselev Daniela, Koschik Alexander, Knecht Andreas, Laube Daniel, Papa Angela, Rauber Thomas, Reggiani Davide, Riccioli Rebecca, Snuverink Jochem, Talanov Vadim, Valetov Eremey
Publikováno v:
EPJ Web of Conferences, Vol 282, p 01012 (2023)
Currently, PSI delivers the most intense continuous muon beam in the world with up to a few 108 µ+/s. The High-Intensity Muon Beams (HIMB) project is developing a new target station and muon beamlines able to deliver 1010 µ+/s, with a huge impact f
Externí odkaz:
https://doaj.org/article/84eeaed6cc4b4d42af15c978af89573e
Unforeseen particle accelerator interruptions, also known as interlocks, lead to abrupt operational changes despite being necessary safety measures. These may result in substantial loss of beam time and perhaps even equipment damage. We propose a sim
Externí odkaz:
http://arxiv.org/abs/2303.08984
Autor:
Kirschner, Johannes, Mutný, Mojmir, Krause, Andreas, de Portugal, Jaime Coello, Hiller, Nicole, Snuverink, Jochem
Tuning machine parameters of particle accelerators is a repetitive and time-consuming task that is challenging to automate. While many off-the-shelf optimization algorithms are available, in practice their use is limited because most methods do not a
Externí odkaz:
http://arxiv.org/abs/2203.13968
Autor:
Calvo, Pedro, Podadera, Iván, Gavela, Daniel, Oliver, Concepción, Adelmann, Andreas, Snuverink, Jochem, Gsell, Achim
Publikováno v:
Phys. Rev. Accel. Beams 24, 090101 (2021)
Beam stripping losses of H- ion beams by interactions with residual gas and electromagnetic fields are evaluated. These processes play an important role in compact cyclotrons where the beam is produced on an internal ion source, and they operate unde
Externí odkaz:
http://arxiv.org/abs/2103.15583
Autor:
Li, Sichen, Zacharias, Mélissa, Snuverink, Jochem, de Portugal, Jaime Coello, Perez-Cruz, Fernando, Reggiani, Davide, Adelmann, Andreas
Publikováno v:
Information 2021, 12(3), 121
The beam interruptions (interlocks) of particle accelerators, despite being necessary safety measures, lead to abrupt operational changes and a substantial loss of beam time. A novel time series classification approach is applied to decrease beam tim
Externí odkaz:
http://arxiv.org/abs/2102.00786
Autor:
Adelmann, Andreas, Calvo, Pedro, Frey, Matthias, Gsell, Achim, Locans, Uldis, Metzger-Kraus, Christof, Neveu, Nicole, Rogers, Chris, Russell, Steve, Sheehy, Suzanne, Snuverink, Jochem, Winklehner, Daniel
Many sophisticated computer models have been developed to understand the behaviour of particle accelerators. Even these complex models often do not describe the measured data. Interactions of the beam with external fields, other particles in the same
Externí odkaz:
http://arxiv.org/abs/1905.06654
Publikováno v:
Phys. Rev. Accel. Beams 22, 064602 (2019)
The usage of numerical models to study the evolution of particle beams is an essential step in the design process of particle accelerators However, uncertainties of input quantities such as beam energy and magnetic field lead to simulation results th
Externí odkaz:
http://arxiv.org/abs/1903.08935
Autor:
Edelen, Auralee, Mayes, Christopher, Bowring, Daniel, Ratner, Daniel, Adelmann, Andreas, Ischebeck, Rasmus, Snuverink, Jochem, Agapov, Ilya, Kammering, Raimund, Edelen, Jonathan, Bazarov, Ivan, Valentino, Gianluca, Wenninger, Jorg
Machine learning (ML) is a subfield of artificial intelligence. The term applies broadly to a collection of computational algorithms and techniques that train systems from raw data rather than a priori models. ML techniques are now technologically ma
Externí odkaz:
http://arxiv.org/abs/1811.03172
Autor:
Nevay, Laurence, Snuverink, Jochem, Abramov, Andrey, Deacon, Lawrence, Garcia-Morales, Hector, Gibson, Stephen, Kwee-Hinzmann, Regina, Lefebvre, Helena, Shields, William, Walker, Stuart, Boogert, Stewart
Publikováno v:
Volume 252, July 2020, 107200
Beam Delivery Simulation (BDSIM) is a program that simulates the passage of particles in a particle accelerator. It uses a suite of standard high energy physics codes (Geant4, ROOT and CLHEP) to create a computational model of a particle accelerator
Externí odkaz:
http://arxiv.org/abs/1808.10745