activity
20182021
most citedOPAL a Versatile Tool for Charged Particle Accelerator Simulations

24 citations · 27 across the 2 of their papers we have counts for

collaborators

5 papers

physics.acc-ph2021

Beam stripping interactions in compact cyclotrons

Pedro Calvo, Iván Podadera, Daniel Gavela +4

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…

physics.acc-ph201924 cited

OPAL a Versatile Tool for Charged Particle Accelerator Simulations

Andreas Adelmann, Pedro Calvo, Matthias Frey +9

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. Inte…

physics.acc-ph20193 cited

Matching of turn pattern measurements for cyclotrons using multi-objective optimization

Matthias Frey, Jochem Snuverink, Christian Baumgarten +1

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 quantitie…

physics.acc-ph2018

Opportunities in Machine Learning for Particle Accelerators

Auralee Edelen, Christopher Mayes, Daniel Bowring +10

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…

physics.comp-ph2018

BDSIM: An Accelerator Tracking Code with Particle-Matter Interactions

Laurence Nevay, Jochem Snuverink, Andrey Abramov +8

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…