Thomson backscattering diagnostics of nanosecond electron bunches in high space charge regime

TL;DR

This paper proposes a Thomson backscattering diagnostic method for measuring density, energy, and spread of nanosecond electron bunches in high space charge regimes, using a setup optimized for sensitivity and resolution.

Contribution

It introduces a novel laser-based diagnostic setup for high-brightness electron bunches in high space charge conditions, with detailed configurations and sensitivity analysis.

Findings

Successful characterization of electron bunches with <4ns pulse duration

Optimized laser-electron interaction geometry for improved sensitivity

Estimated minimum detection sensitivity of the diagnostic system

Abstract

The intra-beam repulsions play a significant role in determining the performances of free-electron devices when an high brilliance of the beam is required. The transversal and longitudinal spread of the beam, its energy and density are fundamental parameters in any beam experiment and different beam diagnostics are available to measure such parameters. A diagnostic method based on the Thomson backscattering of a laser beam impinging on the particle beam is proposed in this work for the study of nanosecond electron bunches in high space charge regime. This diagnostics, aimed to the measurement of density, energy and energy spread, was set-up in a Malmberg-Penning trap (generally used for the electron/ion confinment) in two different configurations designed to optimize sensitivity, spatial resolution and electron-beam coincidence in space and time. To this purpose an electron bunch (pulse time <4ns), produced by a photocathode source, was preliminary characterized with different electrostatic diagnostics and used to test the diagnostics systems. The solutions are detailed, which were devised for both the laser and bunch injection in the vacuum chamber, space and time coincidence of electron and laser pulses, photon detection, optimization of the geometry in the laser-beam interaction. The results are then summarized with an estimate of the minimum sensitivity of the set-up.