New Generation Compact Linear Accelerator for Low-Current, Low-Energy Multiple Applications
Title: | New Generation Compact Linear Accelerator for Low-Current, Low-Energy Multiple Applications |
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Authors: | Jorge Feuchtwanger, Victor Etxebarria, Joaquin Portilla, Josu Jugo, Iñigo Arredondo, Inari Badillo, Estibaliz Asua, Nicolas Vallis, Mikel Elorza, Beñat Alberdi, Rafael Enparantza, Iratxe Ariz, Iñigo Muñoz, Unai Etxebeste, Iñaki Hernandez |
Source: | Applied Sciences, Vol 12, Iss 9, p 4118 (2022) |
Publisher Information: | MDPI AG, 2022. |
Publication Year: | 2022 |
Collection: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Biology (General) LCC:Physics LCC:Chemistry |
Subject Terms: | particle accelerators, ion sources, RF cavities, beam dynamics, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
More Details: | A new compact linear proton accelerator project (named LINAC 7) for multiple low-current applications, designed and built in-house at the Beam Laboratory of the University of the Basque Country (UPV/EHU) is described. The project combines the University, a research technology center and a private company with the aim of designing and building a compact, low-current proton accelerator capable of accelerating particles up to 7 MeV. In this paper, we present an overview of the accelerator design, summarize the progress and testing of the components that have been built, and describe the components that are being designed that will allow us to achieve the final desired energy of 7 MeV. |
Document Type: | article |
File Description: | electronic resource |
Language: | English |
ISSN: | 2076-3417 |
Relation: | https://www.mdpi.com/2076-3417/12/9/4118; https://doaj.org/toc/2076-3417 |
DOI: | 10.3390/app12094118 |
Access URL: | https://doaj.org/article/2f7510a216614ba1bbdaf3ac17081d74 |
Accession Number: | edsdoj.2f7510a216614ba1bbdaf3ac17081d74 |
Database: | Directory of Open Access Journals |
ISSN: | 20763417 |
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DOI: | 10.3390/app12094118 |
Published in: | Applied Sciences |
Language: | English |