Shaping of a laser-accelerated proton beam for radiobiology applications via genetic algorithm

被引:3
|
作者
Cavallone, M. [1 ]
Flacco, A. [1 ]
Malka, V [1 ,2 ]
机构
[1] Ecole Polytech, Lab Opt Appl, Inst Polytech Paris, ENSTA ParisTech,CNRS,UMR7639, 828 Bd Marechaux, F-91762 Palaiseau, France
[2] Weizmann Inst Sci, Dept Phys Complex Syst, IL-7610001 Rehovot, Israel
基金
欧盟地平线“2020”;
关键词
Laser-driven protons; Monte Carlo simulations; Beam shaping; Genetic algorithm; Dose optimisation; SIMULATION; IRRADIATION;
D O I
10.1016/j.ejmp.2019.10.027
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Laser-accelerated protons have a great potential for innovative experiments in radiation biology due to the sub-picosecond pulse duration and high dose rate achievable. However, the broad angular divergence makes them not optimal for applications with stringent requirements on dose homogeneity and total flux at the irradiated target. The strategy otherwise adopted to increase the homogeneity is to increase the distance between the source and the irradiation plane or to spread the beam with flat scattering systems or through the transport system itself. Such methods considerably reduce the proton flux and are not optimal for laser-accelerated protons. In this paper we demonstrate the use of a Genetic Algorithm (GA) to design an optimal non-flat scattering system to shape the beam and efficiently flatten the transversal dose distribution at the irradiated target. The system is placed in the magnetic transport system to take advantage of the presence of chromatic focusing elements to further mix the proton trajectories. The effect of a flat scattering system placed after the transport system is also presented for comparison. The general structure of the GA and its application to the shaping of a laser-accelerated proton beam are presented, as well as its application to the optimisation of dose distribution in a water target in air.
引用
收藏
页码:123 / 131
页数:9
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