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DOE OSTI · 3014226

Development Of Non-Invasive Beam Diagnostics By Quantum Optics-Based Detection

Abstract

We report our effort and latest progress developing diagnostics using quantum optics-based detection method for determining the spatial properties and current of electron beams. As electrons pass through a dilute vapor of rubidium atoms, their magnetic field perturb the atomic spin’s quantum state and causes polarization rotation of a laser resonant with an optical transition of the atoms. By measuring the polarization rotation angle across the laser beam, we recreate a 2D projection of the magnetic field and use it to determine the e-beam position, size and total current. We tested this method for an e-beam with currents ranging from 30 to 110 µA. Our study shows this approach is insensitive to electron kinetic energy, and is initially verified experimentally between 10 to 20 keV. A different approach was also performed with highly excited rubidium atoms in Rydberg states through a coherent two photon process. We use this detection scheme to measure the electric field generated by a

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BibTeXRIS

Zhang, S. [Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)], DeStefano, N. [College of William and Mary, Williamsburg, VA (United States)], Behary, R. [College of William and Mary, Williamsburg, VA (United States)], Pegahan, S. [College of William and Mary, Williamsburg, VA (United States)], Aubin, S. [College of William and Mary, Williamsburg, VA (United States)], Averett, T. [College of William and Mary, Williamsburg, VA (United States)], Camsonne, A. [Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)], Mikhailov, E. [College of William and Mary, Williamsburg, VA (United States)], Park, G. [Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)], Novikova, I. [College of William and Mary, Williamsburg, VA (United States)]. 2025-06-01. Development Of Non-Invasive Beam Diagnostics By Quantum Optics-Based Detection. https://doi.org/10.2172/3014226

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