Abstract

Laser-plasma x-ray sources have garnered interest from various communities due to their ability to generate high photon-energies from a small source size. The passive imaging of high energy x-rays and neutrons is also a useful diagnostic in laser-driven fusion capsules as well as laboratory astrophysics experiments which aim to study small samples of transient electron-positron plasmas.Here we study a coded aperture with scatter and partial attenuation included, which we call a ‘CASPA’, and compare them to the more common method of pinhole imaging. As well as discussing the well-known increased throughput of coded apertures, we also show that the decoding algorithm relaxes the need for a thick substrate. We simulate a 511 keV x-ray source through ray-tracing and Geant4 simulations to show how incomplete attenuation of the source by the mask may be less detrimental to imaging using a CASPA than to using a standard pinhole system.

Highlights

  • Sub-millimetre radiation sources are ubiquitous in laserplasma physics, from the small x-ray sources produced for imaging [1], to understanding fusion targets [2,3,4] or astrophysical analogues [5] including those which aim to study pure electron-positron plasmas [6]

  • We propose that complete attenuation is not required for coded apertures to generate high signal to noise ratio (SNR) images

  • We demonstrate that this benefit is due to the way in which the image from a coded aperture is reconstructed, allowing a flat background to be removed

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Summary

Introduction

Sub-millimetre radiation sources are ubiquitous in laserplasma physics, from the small x-ray sources produced for imaging [1], to understanding fusion targets [2,3,4] or astrophysical analogues [5] including those which aim to study pure electron-positron plasmas [6]. Some such sources will produce other forms of high-energy radiation—for instance the 14.1 MeV neutrons from DT fusion reactions.

Aperture imaging
Ray-tracing model
Experimental considerations
CASPA—pinhole comparison
Benchmarking RTM with geant4
Extended object
Findings
Conclusion
Full Text
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