Published March 2018 | Version v1
Journal article

Controlling laser driven protons acceleration using a deformable mirror at a high repetition rate

  • 1. Collaborative Innovation Center of IFSA (CICIFSA), Shanghai Jiao Tong University, Shanghai 200240 (China)
  • 2. Key Laboratory for Laser Plasmas (Ministry of Education) and School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240 (China)
  • 3. Centre for Plasma Physics, School of Mathematics and Physics, Queen's University Belfast, Belfast, BT71NN (United Kingdom)
  • 4. Max-Born Institute, Berlin 12489 (Germany)

Description

We present results from a proof-of-principle experiment to optimize laser driven protons acceleration by directly feeding back its spectral information to a deformable mirror (DM) controlled by evolutionary algorithms (EAs). By irradiating a stable high-repetition rate tape driven target with ultra-intense pulses of intensities 1020 W/cm2, we optimize the maximum energy of the accelerated protons with a stability of less than 5% fluctuations near optimum value. Moreover, due to spatio-temporal development of the sheath field, modulations in the spectrum are also observed. Particularly, a prominent narrow peak is observed with a spread of 15% (FWHM) at low energy part of the spectrum. These results are helpful to develop high repetition rate optimization techniques required for laser-driven ion accelerators.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nima.2017.11.075

Additional details

Identifiers

DOI
10.1016/j.nima.2017.11.075;
PII
S0168900217313220;

Publishing Information

Journal Title
Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
Journal Volume
883
Journal Page Range
p. 191-195
ISSN
0168-9002
CODEN
NIMAER

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53036806
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Descriptors DEI
ACCELERATION; ACCELERATORS; FLUCTUATIONS; GENETIC ALGORITHMS; IONS; LASERS; MIRRORS; MODULATION; OPTIMIZATION; PROTONS; SPECTRA
Descriptors DEC
ALGORITHMS; BARYONS; CHARGED PARTICLES; ELEMENTARY PARTICLES; FERMIONS; HADRONS; MATHEMATICAL LOGIC; NUCLEONS; VARIATIONS

Optional Information

Copyright
Copyright (c) 2017 Elsevier B.V. All rights reserved.