Abstract

The SPARC_LAB test facility at the LNF (Laboratori Nazionali di Frascati, Rome) holds a high brightness photo-injector used to investigate advanced beam manipulation techniques. High brightness electron bunch trains (so-called comb beams) can be generated striking on the photo-cathode of a Radio Frequency (RF) photo-injector with a ultra-short UV laser pulse train in tandem with the velocity bunching technique. Beam dynamics studies have been performed with the aim of optimizing the dynamics of the double beam (driver and witness) used to perform particle driven plasma wake field acceleration (PWFA). In this scenario different scans on beam parameters were carried on adopting the ASTRA simulation code, in order to optimize the witness beam quality and improve the plasma booster stage performances. A benchmark of the simulations has been then performed, reproducing the experimental data obtained from the optimization of machine performances, and a good agreement was found.

Details

Title
Beam dynamics optimization for high gradient beam driven plasma wakefield acceleration at SPARC-LAB
Author
Carillo, M 1 ; Alesini, D 2 ; Anania, M P 2 ; Behtouei, M 2 ; Bellaveglia, M 2 ; Biagioni, A 2 ; Chiadroni, E 3 ; Cianchi, A 4 ; Costa, G 2 ; Crincoli, L 3 ; A Del Dotto 2 ; M Del Giorno 2 ; G Di Pirro 2 ; Faillace, L 3 ; Francescone, D 5 ; Galletti, M 4 ; Giannessi, L 2 ; Giribono, A 2 ; Giuliano, L 1 ; Iovine, P 3 ; Mostacci, A 1 ; Petrillo, V 2 ; Pompili, R 2 ; Parise, G 6 ; Romeo, S 2 ; Rossi, A R 7 ; Silvi, G J 1 ; Shpakov, V 2 ; Vaccarezza, C 2 ; Villa, F 2 ; Ferrario, M 2 

 Sapienza University of Rome , 00161 Rome , Italy; INFN-Sez. Roma1 , 00161 Roma , Italy 
 INFN-LNF , 00044 Frascati , Italy 
 Sapienza University of Rome , 00161 Rome , Italy; INFN-LNF , 00044 Frascati , Italy 
 University of Rome Tor Vergata , Rome , Italy; INFN-LNF , 00044 Frascati , Italy 
 Sapienza University of Rome , 00161 Rome , Italy 
 University of Rome Tor Vergata , Rome , Italy 
 INFN-Milano , Milano , Italy 
First page
062023
Publication year
2024
Publication date
Jan 2024
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2918779437
Copyright
Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.