Proton Bragg curve and energy reconstruction using an online scintillator stack detector.


Journal

The Review of scientific instruments
ISSN: 1089-7623
Titre abrégé: Rev Sci Instrum
Pays: United States
ID NLM: 0405571

Informations de publication

Date de publication:
01 Jul 2023
Historique:
received: 14 02 2023
accepted: 10 07 2023
medline: 25 7 2023
pubmed: 25 7 2023
entrez: 25 7 2023
Statut: ppublish

Résumé

Real-time measurement and characterization of laser-driven proton beams have become crucial with the advent of high-repetition-rate laser acceleration. Common passive diagnostics such as radiochromic film (RCF) are not suitable for real-time operation due to time-consuming post-processing; therefore, a novel approach is needed. Various scintillator-based detectors have recently gained interest as real-time substitutes to RCF-thanks to their fast response for a wide range of dose deposition rates. This work introduces a compact, scalable, and cost-effective scintillator-based device for proton beam measurements in real-time suitable for the laser-plasma environment. An advanced signal processing technique was implemented based on detailed Monte Carlo simulations, enabling an accurate unfolding of the proton energy and the depth-dose deposition curve. The quenching effect was accounted for based on Birks' law with the help of the Monte Carlo simulations. The detector was tested in a proof-of-principle experiment at a conventional cyclotron accelerating protons up to 35 MeV of energy. The signal comparison with a standard RCF stack was also performed during the test of the device, showing an excellent agreement between the two diagnostics. Such devices would be suitable for both conventional and laser-driven proton beam characterization.

Identifiants

pubmed: 37489938
pii: 2904042
doi: 10.1063/5.0146554
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 Author(s). Published under an exclusive license by AIP Publishing.

Auteurs

Valeriia Istokskaia (V)

Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering, Prague, Czech Republic.
ELI Beamlines Facility, The Extreme Light Infrastructure ERIC, Dolni Brezany, Czech Republic.

Benoit Lefebvre (B)

ELI Beamlines Facility, The Extreme Light Infrastructure ERIC, Dolni Brezany, Czech Republic.

Giada Petringa (G)

ELI Beamlines Facility, The Extreme Light Infrastructure ERIC, Dolni Brezany, Czech Republic.
National Institute of Nuclear Physics (INFN), Laboratori Nazionali del Sud, Catania, Italy.

Pablo Cirrone (P)

ELI Beamlines Facility, The Extreme Light Infrastructure ERIC, Dolni Brezany, Czech Republic.
National Institute of Nuclear Physics (INFN), Laboratori Nazionali del Sud, Catania, Italy.

Mariacristina Guarrera (M)

National Institute of Nuclear Physics (INFN), Laboratori Nazionali del Sud, Catania, Italy.

Lorenzo Giuffrida (L)

ELI Beamlines Facility, The Extreme Light Infrastructure ERIC, Dolni Brezany, Czech Republic.

Roberto Versaci (R)

ELI Beamlines Facility, The Extreme Light Infrastructure ERIC, Dolni Brezany, Czech Republic.

Veronika Olšovcová (V)

ELI Beamlines Facility, The Extreme Light Infrastructure ERIC, Dolni Brezany, Czech Republic.

Daniele Margarone (D)

ELI Beamlines Facility, The Extreme Light Infrastructure ERIC, Dolni Brezany, Czech Republic.
Centre for Light-Matter Interactions, School of Mathematics and Physics, Queen's University Belfast, Belfast, United Kingdom.

Classifications MeSH