Algorithmic approaches to automate OPA tuning for frequency domain spectroscopy

Area of Science:

• Spectroscopy
• Ultrafast Lasers
• Nonlinear Optics

Background:

• Frequency domain nonlinear spectroscopies are vital for studying biological, chemical, and material systems.
• These techniques rely on optical parametric amplifiers (OPAs) that require precise motor control for color tuning.
• Environmental fluctuations necessitate frequent OPA motor optimization, making experiments time-consuming.

Purpose of the Study:

• To develop and present automated algorithms for tuning ultrafast laser systems, specifically optical parametric amplifiers (OPAs).
• To demonstrate the robustness and accuracy of these algorithms across various laser systems.
• To provide accessible, open-source software to simplify frequency domain spectroscopy.

Main Methods:

• Developed four distinct algorithms for automated OPA motor tuning.
• Tested algorithms on diverse ultrafast laser systems, including picosecond and femtosecond lasers, and both homebuilt and commercial OPAs.
• Validated algorithms using case studies from published research.

Main Results:

• The four algorithms accurately and robustly tune motors in various ultrafast laser systems.
• Demonstrated the combined application of algorithms for comprehensive OPA tuning.
• Showcased the algorithms' effectiveness on diverse OPA types and laser pulse durations.

Conclusions:

• Fully automated tuning approaches are invaluable for scanning OPAs in frequency domain spectroscopy.
• The developed open-source algorithms significantly lower the barrier to entry for performing frequency domain spectroscopy.
• These algorithms can be applied to existing instruments, enhancing their utility and reducing maintenance burdens.