Autosetting soliton pulsation in a fiber laser by an improved depth-first search algorithm

Area of Science:

• Nonlinear optics
• Ultrafast photonics
• Fiber laser technology

Background:

• Soliton pulsation in ultrafast fiber lasers is a complex phenomenon with potential for high peak power pulse generation.
• Efficiently finding soliton pulsation states requires precise adjustment of laser cavity parameters, posing a significant challenge.

Purpose of the Study:

• To develop an automated method for searching and achieving soliton pulsation in passively mode-locked fiber lasers.
• To enable flexible control over the intensity modulation depth of pulsating solitons.

Main Methods:

• Utilized an improved depth-first search algorithm to intelligently adjust electronic polarization controller parameters.
• Implemented an autosetting approach for parameter optimization in fiber laser cavities.

Main Results:

• Successfully achieved autosetting soliton pulsation in a passively mode-locked fiber laser.
• Demonstrated flexible control over the intensity modulation depth of the generated pulsating solitons.

Conclusions:

• Intelligent control offers an effective strategy for exploring on-demand soliton dynamics in fiber lasers.
• This approach is beneficial for optimizing the performance of ultrafast laser systems.