GPU enabled real-time optical frequency comb spectroscopy and photonic readout

TL;DR

This paper presents a GPU-accelerated method for real-time optical frequency comb spectroscopy capable of processing data at 2.2 GB/s, demonstrated on an optomechanical accelerometer, with broad potential applications in molecular spectroscopy and photonic readout.

Contribution

The paper introduces a GPU-enabled approach for high-speed, real-time optical frequency comb spectroscopy, enhancing data processing speed and versatility.

Findings

Achieved data processing at 2.2 GB/s in real-time.

Successfully applied to optomechanical accelerometer analysis.

Potential for broad application in 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.