GPU enabled real-time optical frequency comb spectroscopy and photonic readout
Instrumentation and Detectors
2023-07-26 v1 Computational Physics
Optics
Abstract
We describe a GPU-enabled approach for real-time optical frequency comb spectroscopy in which data is recorded, Fourier transformed, normalized, and fit at data rates up to 2.2 GB/s. As an initial demonstration we have applied this approach to rapidly interrogate the motion of an optomechanical accelerometer through the use of an electro-optic frequency comb. However, we note that this approach is readily amenable to both self-heterodyne and dual comb spectrometers for molecular spectroscopy as well as photonic readout where the approach's agility, speed, and simplicity are expected to enable future improvements and applications.
Cite
@article{arxiv.2307.12988,
title = {GPU enabled real-time optical frequency comb spectroscopy and photonic readout},
author = {Sean M. Bresler and David A. Long and Benjamin J. Reschovsky and Yiliang. Bao and Thomas W. LeBrun},
journal= {arXiv preprint arXiv:2307.12988},
year = {2023}
}