Academic Journal
Implementation of a thin, flat water target capable of high-repetition-rate MeV-range proton acceleration in a high-power laser at the CLPU
| العنوان: | Implementation of a thin, flat water target capable of high-repetition-rate MeV-range proton acceleration in a high-power laser at the CLPU |
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| المؤلفون: | Puyuelo-Valdes, P, de Luis, D, Hernandez, J, Apiñaniz, J I, Curcio, A, Henares, J L, Huault, M, Pérez-Hernández, J A, Roso, L, Gatti, G, Volpe, L |
| المساهمون: | PALMA, ICTS Equipment, Horizon 2020 Framework Programme, LASERLAB- EUROPE V, Laserlab-Europe IV, IMPULSE, Ayuda proyectos de investigación de la JCL, Ministerio de Ciencia e Innovación |
| المصدر: | Plasma Physics and Controlled Fusion ; volume 64, issue 5, page 054003 ; ISSN 0741-3335 1361-6587 |
| بيانات النشر: | IOP Publishing |
| سنة النشر: | 2022 |
| الوصف: | Fluid targets are attractive for laser-driven ion acceleration at high-repetition-rate laser facilities. In particular, liquid targets have several interesting features since they can regenerate in situ and are debris-free (or little) and operate at a high repetition rate. Here, we report high-repetition-rate MeV-range proton acceleration by the interaction of the VEGA-2 laser system with a micrometer-thick water sheet target in a high vacuum (10 −4 mbar) environment. The water target was running continuously at this pressure for 4 h and more than 1000 shots were performed. Two different water thicknesses were studied, and we measured a continuous proton distribution with energies up to 3.5 MeV. Experimental results are compared with the literature and existing scaling laws. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1088/1361-6587/ac5643 |
| DOI: | 10.1088/1361-6587/ac5643/pdf |
| الاتاحة: | http://dx.doi.org/10.1088/1361-6587/ac5643 https://iopscience.iop.org/article/10.1088/1361-6587/ac5643 https://iopscience.iop.org/article/10.1088/1361-6587/ac5643/pdf |
| Rights: | https://iopscience.iop.org/page/copyright ; https://iopscience.iop.org/info/page/text-and-data-mining |
| رقم الانضمام: | edsbas.EA755F42 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1088/1361-6587/ac5643 |
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