Abstract

The shape of a wave carries all information about the spatial and temporal structure of its source, given that the medium and its properties are known. Most modern imaging methods seek to utilize this nature of waves originating from Huygens’ principle. We discuss the retrieval of the complete kinetic energy distribution from the acoustic trace that is recorded when a short ion bunch deposits its energy in water. This novel method, which we refer to as Ion-Bunch Energy Acoustic Tracing (I-BEAT), is a refinement of the ionoacoustic approach. With its capability of completely monitoring a single, focused proton bunch with prompt readout and high repetition rate, I-BEAT is a promising approach to meet future requirements of experiments and applications in the field of laser-based ion acceleration. We demonstrate its functionality at two laser-driven ion sources for quantitative online determination of the kinetic energy distribution in the focus of single proton bunches.

Highlights

  • Laser-plasma accelerator development has been advancing rapidly in the past few decades, opening a new frontier in accelerator physics

  • We report on a new method for ion energy measurements, relying on analysis of the acoustic wave, generated when an ion bunch dissipates its energy into a water volume[30,31]

  • The short bunch duration and intense particle flux of laser-accelerated protons allows for the first time a reconstruction of the depth dose distribution and the complete and more complex energy distribution of a single proton bunch[34]

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Summary

Methods

If the residual Σm is smaller than Σi, the algorithm continues with the modified spectrum as the updated input distribution for the cycle. The tunable solenoid magnet[29,47] is positioned 80 mm behind the target and is able to collect the high energetic part of the beam without particle loss. It acts as chromatic lens and can be used to generate a focus of a desired mean energy at the irradiation site in air about two meters downstream of the target. This proton energy has been chosen to optimize the signal-to-noise ratio recorded by the I-BEAT detector

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