arXiv · 2307.12988
GPU enabled real-time optical frequency comb spectroscopy and photonic readout
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.
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Sean M. Bresler, David A. Long, Benjamin J. Reschovsky, Yiliang. Bao, Thomas W. LeBrun. 2023-07-12. GPU enabled real-time optical frequency comb spectroscopy and photonic readout. https://arxiv.org/abs/2307.12988
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