Multivariate scaling of maximum proton energy in intense laser driven ion acceleration

The production of high-energy ions is a momentous goal of ultraintense laser lights. So far a number of experiments and numerical simulations have been conducted to obtain the scaling of the ion energy to find the optimal experimental condition. Due to the complexity of the relativistic laser-plasma...

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Main Authors: Yuji Takagi, Natsumi Iwata, Emmanuel d'Humieres, Yasuhiko Sentoku
Format: Article
Language:English
Published: American Physical Society 2021-11-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.3.043140
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author Yuji Takagi
Natsumi Iwata
Emmanuel d'Humieres
Yasuhiko Sentoku
author_facet Yuji Takagi
Natsumi Iwata
Emmanuel d'Humieres
Yasuhiko Sentoku
author_sort Yuji Takagi
collection DOAJ
description The production of high-energy ions is a momentous goal of ultraintense laser lights. So far a number of experiments and numerical simulations have been conducted to obtain the scaling of the ion energy to find the optimal experimental condition. Due to the complexity of the relativistic laser-plasma interactions, it is not easy to evaluate the ion energy for different experimental configurations. We propose a statistical approach using the Bayesian inference to obtain a multivariate scaling to predict the maximum proton energy via the target normal sheath acceleration. We derive the scaling for the experimental parameters and also for the hot electron temperature and density observed in the corresponding particle-in-cell simulations. We demonstrate the effectiveness of our approach in the prediction of the maximum proton energy and provide the experimental condition to achieve a proton energy over 100 MeV.
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spelling doaj.art-752edffdb8c14d9eb54c53d710b833fd2024-04-12T17:15:57ZengAmerican Physical SocietyPhysical Review Research2643-15642021-11-013404314010.1103/PhysRevResearch.3.043140Multivariate scaling of maximum proton energy in intense laser driven ion accelerationYuji TakagiNatsumi IwataEmmanuel d'HumieresYasuhiko SentokuThe production of high-energy ions is a momentous goal of ultraintense laser lights. So far a number of experiments and numerical simulations have been conducted to obtain the scaling of the ion energy to find the optimal experimental condition. Due to the complexity of the relativistic laser-plasma interactions, it is not easy to evaluate the ion energy for different experimental configurations. We propose a statistical approach using the Bayesian inference to obtain a multivariate scaling to predict the maximum proton energy via the target normal sheath acceleration. We derive the scaling for the experimental parameters and also for the hot electron temperature and density observed in the corresponding particle-in-cell simulations. We demonstrate the effectiveness of our approach in the prediction of the maximum proton energy and provide the experimental condition to achieve a proton energy over 100 MeV.http://doi.org/10.1103/PhysRevResearch.3.043140
spellingShingle Yuji Takagi
Natsumi Iwata
Emmanuel d'Humieres
Yasuhiko Sentoku
Multivariate scaling of maximum proton energy in intense laser driven ion acceleration
Physical Review Research
title Multivariate scaling of maximum proton energy in intense laser driven ion acceleration
title_full Multivariate scaling of maximum proton energy in intense laser driven ion acceleration
title_fullStr Multivariate scaling of maximum proton energy in intense laser driven ion acceleration
title_full_unstemmed Multivariate scaling of maximum proton energy in intense laser driven ion acceleration
title_short Multivariate scaling of maximum proton energy in intense laser driven ion acceleration
title_sort multivariate scaling of maximum proton energy in intense laser driven ion acceleration
url http://doi.org/10.1103/PhysRevResearch.3.043140
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AT yasuhikosentoku multivariatescalingofmaximumprotonenergyinintenselaserdrivenionacceleration