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Related Experiment Video

Updated: Sep 6, 2025

Fabrication and Testing of Microfluidic Optomechanical Oscillators

Fabrication and Testing of Microfluidic Optomechanical Oscillators

Published on: May 29, 2014

Linien: A versatile, user-friendly, open-source FPGA-based tool for frequency stabilization and spectroscopy

B Wiegand¹, B Leykauf¹, R Jördens²

¹Institut für Physik, Humboldt-Universität zu Berlin, 12489 Berlin, Germany.

The Review of Scientific Instruments

|July 1, 2022

Summary

This summary is machine-generated.

We developed Linien, a versatile software tool for precise laser frequency stabilization and spectroscopy locking. It uses machine learning for autonomous optimization and offers both graphical and Python interfaces for broad accessibility.

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Area of Science:

Physics
Engineering
Computer Science

Background:

Laser frequency stabilization is crucial for high-resolution spectroscopy.
Existing methods can be complex and require manual tuning.
A need exists for user-friendly, automated solutions.

Purpose of the Study:

To introduce Linien, a versatile software tool for laser frequency stabilization.
To provide a user-friendly platform for spectroscopy locking and general lock-in techniques.
To enable autonomous optimization of spectroscopy parameters using machine learning.

Main Methods:

The Linien software utilizes sinusoidal modulation (up to 50 MHz) and triangular ramp scanning.
It incorporates in-phase and quadrature demodulation (1-5 f), infinite impulse response, and PID filtering.
Two automatic lock point selection algorithms are implemented, with one leveraging field-programmable gate arrays for time-critical tasks.

Main Results:

Linien demonstrates capability in spectroscopy locking and proportional-integral-derivative (PID) operation.
Machine learning enables autonomous optimization of spectroscopy parameters.
The software measures the error signal's power spectral density.

Conclusions:

Linien offers a user-friendly and versatile solution for laser frequency stabilization.
Its modular design, with graphical and Python interfaces, enhances accessibility.
The software, based on the RedPitaya STEMLab platform, is adaptable to different systems.