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Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

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Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
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High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis

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Field-programmable gate array and deep neural network-accelerated spatial-spectral interferometry for rapid optical

Xin-Li Lee, Jui-Chi Chang, Xiang-Yu Ye

|March 1, 2024

Summary

This summary is machine-generated.

Spatial-spectral interferometry (SSI) reconstructs ultrafast laser fields. A new FPGA-based deep neural network significantly accelerates SSI

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Area of Science:

Ultrafast optics
Laser diagnostics
Signal processing

Background:

Spatial-spectral interferometry (SSI) reconstructs ultrafast laser electrical fields.
SSI analyzes spectral phase distribution to understand optical dispersion and laser pulse energy.
Current SSI algorithms are computationally intensive, limiting real-time applications.

Purpose of the Study:

To accelerate the spectral phase reconstruction and dispersion estimation process in SSI.
To enable real-time analysis of ultrafast laser dispersion.

Main Methods:

Implementation of a field-programmable gate array (FPGA)-based deep neural network.
Acceleration of Fourier transform and filtering operations within the SSI reconstruction algorithm.

Main Results:

Achieved a 13.4-fold improvement in analysis time.
Reduced analysis time from 124 ms to 9.27 ms.
Demonstrated feasibility of FPGA-based deep learning for ultrafast laser diagnostics.

Conclusions:

The proposed FPGA-based deep neural network significantly enhances SSI performance.
Real-time dispersion analysis of ultrafast lasers is now achievable.
This advancement has implications for laser system optimization and control.