Distribution and extreme loss analysis in the ESS linac : A statistical perspective
(2017) 8th International Particle Accelerator Conference, IPAC 2017 In IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference p.4458-4461- Abstract
The report takes a statistical approach in the study of distribution evolution of the proton beam within the ESS linac and reports a new technique of pinpointing the non-linear space-charge effect of the propagating proton beam. By using the test statistic from the nonparametric Kolmogorov-Smirnov test the author visualises the change in the normalised distributions by looking at the supremum distance between the cumulative distribution functions in comparison, and the propagation of the deviation throughout the ESS linac. This approach identifies changes in the distribution which may cause losses in the linac and highlights the parts where the space-charge has big impact on the beam distribution. Also, an Extreme Value Theory approach... (More)
The report takes a statistical approach in the study of distribution evolution of the proton beam within the ESS linac and reports a new technique of pinpointing the non-linear space-charge effect of the propagating proton beam. By using the test statistic from the nonparametric Kolmogorov-Smirnov test the author visualises the change in the normalised distributions by looking at the supremum distance between the cumulative distribution functions in comparison, and the propagation of the deviation throughout the ESS linac. This approach identifies changes in the distribution which may cause losses in the linac and highlights the parts where the space-charge has big impact on the beam distribution. Also, an Extreme Value Theory approach is adopted in order to quantify the effects of the non linear forces affecting the proton beam distribution.
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- author
- Pedersen, Alexander Lauge ; Anevski, Dragi LU ; Eshraqi, Mohammad LU and Miyamoto, Ryoichi LU
- organization
- publishing date
- 2017-07-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference
- series title
- IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference
- pages
- 4 pages
- publisher
- JACoW Publishing
- conference name
- 8th International Particle Accelerator Conference, IPAC 2017
- conference location
- Bella Conference Center, Denmark
- conference dates
- 2017-05-14 - 2017-05-19
- external identifiers
-
- scopus:85119663477
- ISBN
- 9783954501823
- DOI
- 10.18429/JACoW-IPAC2017-THPVA020
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2017 CC-BY-3.0 and by the respective authors
- id
- 745e0eeb-bb20-40cf-b185-0071d03765c5
- date added to LUP
- 2022-01-21 10:07:36
- date last changed
- 2022-03-11 22:50:29
@inproceedings{745e0eeb-bb20-40cf-b185-0071d03765c5, abstract = {{<p>The report takes a statistical approach in the study of distribution evolution of the proton beam within the ESS linac and reports a new technique of pinpointing the non-linear space-charge effect of the propagating proton beam. By using the test statistic from the nonparametric Kolmogorov-Smirnov test the author visualises the change in the normalised distributions by looking at the supremum distance between the cumulative distribution functions in comparison, and the propagation of the deviation throughout the ESS linac. This approach identifies changes in the distribution which may cause losses in the linac and highlights the parts where the space-charge has big impact on the beam distribution. Also, an Extreme Value Theory approach is adopted in order to quantify the effects of the non linear forces affecting the proton beam distribution.</p>}}, author = {{Pedersen, Alexander Lauge and Anevski, Dragi and Eshraqi, Mohammad and Miyamoto, Ryoichi}}, booktitle = {{IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference}}, isbn = {{9783954501823}}, language = {{eng}}, month = {{07}}, pages = {{4458--4461}}, publisher = {{JACoW Publishing}}, series = {{IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference}}, title = {{Distribution and extreme loss analysis in the ESS linac : A statistical perspective}}, url = {{http://dx.doi.org/10.18429/JACoW-IPAC2017-THPVA020}}, doi = {{10.18429/JACoW-IPAC2017-THPVA020}}, year = {{2017}}, }