JACoW logo

Journals of Accelerator Conferences Website (JACoW)

JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.


RIS citation export for MOPA90: Relating Initial Distribution to Beam Loss on the Front End of a Heavy-Ion Linac Using Machine Learning

TY  - CONF
AU  - Tran, A.D.
AU  - Hao, Y.
AU  - Martinez Marin, J.L.
AU  - Mustapha, B.
ED  - Biedron, Sandra
ED  - Simakov, Evgenya
ED  - Milton, Stephen
ED  - Anisimov, Petr M.
ED  - Schaa, Volker R.W.
TI  - Relating Initial Distribution to Beam Loss on the Front End of a Heavy-Ion Linac Using Machine Learning
J2  - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022
CY  - Albuquerque, NM, USA
T2  - International Particle Accelerator Conference
T3  - 5
LA  - english
AB  - This work demonstrates using a Neural Network and a Gaussian Process to model the ATLAS front-end. Various neural network architectures were created and trained on the machine settings and outputs to model the phase space projections. The model was then trained on a dataset, with non-linear distortion, to gauge the transferability of the model from simulation to machine.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 263
EP  - 266
KW  - network
KW  - simulation
KW  - LEBT
KW  - emittance
KW  - controls
DA  - 2022/10
PY  - 2022
SN  - 2673-7000
SN  - 978-3-95450-232-5
DO  - doi:10.18429/JACoW-NAPAC2022-MOPA90
UR  - https://jacow.org/napac2022/papers/mopa90.pdf
ER  -