Schottky Signal Modification as a Diagnostic Tool for Coherent Electron Cooling

TL;DR

This paper explores using Schottky signal modification as a diagnostic tool for coherent electron cooling, enabling precise beam alignment and feedback through spectral noise analysis in high-intensity hadron beams.

Contribution

It introduces a method to detect and analyze spectral noise modifications in the hadron beam for improved beam alignment in coherent electron cooling.

Findings

Spectral noise components are predictably modified at the several percent level.

Signal suppression techniques can provide fast feedback for beam alignment.

Simulation confirms the feasibility of detecting these spectral modifications.

Abstract

Coherent electron cooling is a promising technique to cool high-intensity hadron bunches by imprinting the noise in the hadron beam on a beam of electrons, amplifying the electron density modulations, and using them to apply cooling kicks to the hadrons. The typical size for these perturbations can be on the $\mu$m scale, allowing us to extend the reach of classical stochastic cooling by several orders of magnitude. However, it is crucial to ensure that the electron and hadron beams are longitudinally aligned within this same $\mu$m scale. In order to provide fast feedback for this process, we discuss the extension of signal suppression to coherent electron cooling, and show in both theory and simulation that certain components of the spectral noise in the hadron beam will be predictably modified at the several percent level, which may be detected by observations of the radiation of the hadron beam.