Using Cyclotron Radiation Emission for Ultra-high Resolution X-Ray Spectroscopy

TL;DR

This paper explores using Cyclotron Radiation Emission Spectroscopy (CRES) for high-resolution X-ray energy measurements, expanding its application from beta decay to X-ray spectroscopy for various scientific purposes.

Contribution

It demonstrates the feasibility of applying CRES to X-ray spectroscopy and discusses key factors affecting its implementation and accuracy.

Findings

CRES can achieve eV-level energy resolution for X-ray spectroscopy.

Multiple peaks from a single source improve measurement robustness.

Target material and noise levels significantly influence spectral accuracy.

Abstract

Cyclotron Radiation Emission Spectroscopy (CRES) is an approach to measuring the energy of an electron trapped in an externally applied magnetic field. The bare electron can come from different interactions, including photoelectric absorption, Compton scatters, beta decay, and pair production. CRES relies on measuring the frequency of the electron's cyclotron motion, and because the measurement times extend over $10^6$-$10^7$ cycles, the energy resolution is on the order of a single electronvolt. To date, CRES has only been performed on internal beta-emitting radioisotopes, but the technology can be applied to X-ray spectrometery through appropriate selection of a target gas and sufficient intensity of the distinct X-ray source. The applications of this technology range from high-precision measurements of atomic energy levels, to calibrations of basic science experiments, to trace element identification. In this work we explore the use of CRES for X-ray spectroscopy within the rubric of measuring the energy levels of argon, although the principles are broadly applicable to many other situations. The issues we explore include target material, density, electron trapping depth, noise levels, and overall efficiency. We also discuss spectral deconvolution and how the multiple peaks obtained from a single target / source pair can be used to enhance the robustness of the measurement.