Bibliographic Details
| Title: |
Experimental characterization of the internal ion source for the AMIT compact cyclotron. |
| Authors: |
Calvo, Pedro1 (AUTHOR) pedro.calvo@ciemat.es, Obradors, Diego1 (AUTHOR) diego.obradors@ciemat.es, Varela, Rodrigo1 (AUTHOR), Podadera, Iván1 (AUTHOR), Oliver, Concepción1 (AUTHOR), Estévez, Antonio1 (AUTHOR), Domínguez, Manuel1 (AUTHOR), Vázquez, Cristina1 (AUTHOR), Toral, Fernando1 (AUTHOR), García-Tabarés, Luis1 (AUTHOR), Pérez, José Manuel1 (AUTHOR) |
| Source: |
Nuclear Instruments & Methods in Physics Research Section A. Feb2022, Vol. 1025, pN.PAG-N.PAG. 1p. |
| Subjects: |
Ion sources, Cyclotrons, Hydrogen ions, Anions, Plasma production, Chimneys |
| Abstract: |
The ion source is one of the most relevant elements in a cyclotron, since it determines the injection into the accelerator. An internal cold-cathode Penning ion source has been chosen for the AMIT compact cyclotron. This kind of source is extensively used in cyclotrons to produce negative hydrogen ions. The compactness of the accelerator constrain the beam diagnostic in the cyclotron, motivating the development of an external experimental facility for the commissioning of the ion source. In this paper, the validation of the ion source design and the characterization of the H − beam production are presented. Different chimney geometries modifying the distance between the plasma column and the extraction wall have been tested to obtain the best relation between ion production and plasma conditions. In addition, experimental measurements of the beam profile have been carried out. Current experimental results provide relevant information for the operation in the final cyclotron assembly and the final beam current optimization. [ABSTRACT FROM AUTHOR] |
|
Copyright of Nuclear Instruments & Methods in Physics Research Section A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |