# Design of a fast speckle wavemeter with optical processing

**Authors:** Lucas Rodrigo Mendicino, Christian Tom\'as Schmiegelow

arXiv: 2303.00679 · 2023-03-02

## TL;DR

This paper introduces a speckle-based wavemeter design combining a fixed dispersive pre-processor and programmable post-processor, achieving high spectral resolution and fast response for precise wavelength measurement.

## Contribution

The paper proposes a novel optical wavemeter architecture that integrates a fixed dispersive element with programmable optical components for enhanced resolution and speed.

## Key findings

- Operates from sub-picometer to nanometer resolution
- Uses a fixed dispersive pre-processor with high correlation length
- Employs a programmable post-processor for wavelength transformation

## Abstract

We present a design concept for a speckle based wavemeter that combines high spectral resolution and fast response times. Our device uses a fixed disperse medium with small coherence length as an optical pre-processor and a series of programmable optical elements as post-processor. The pre-processor generates a complex speckle pattern with a given correlation length, then the post-processor transforms the optical field to a simple binary pattern with intensity proportional to the wavelength deviation from a reference value. We show how to construct a device which can be trained to produce an electrical signal on a balanced detector proportional to the wavelength. Also, we demonstrate that the device can operate from sub-picometer up to nanometer resolution using a pre-processor with correlation length in the picometer range. More generally, our results show how the use of a programmable optical post-processor with low spectral resolution can be enhanced by a fixed pre-procesor with a higher one.

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/2303.00679/full.md

## References

19 references — full list in the complete paper: https://tomesphere.com/paper/2303.00679/full.md

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Source: https://tomesphere.com/paper/2303.00679