Pulse Breathing Dynamics in a Mode-Locked Laser measured via SHG autocorrelation

TL;DR

This paper introduces a novel statistical autocorrelation method using Fano factor analysis of SHG autocorrelation to detect pulse breathing dynamics in mode-locked lasers, revealing pulse shape fluctuations invisible to traditional diagnostics.

Contribution

The paper presents a new experimental approach to measure pulse breathing dynamics in mode-locked lasers through Fano factor analysis of SHG autocorrelation, enabling better control of pulse stability.

Findings

Measured pulse width fluctuations between 10.4 and 12.0 fs.

Identified a characteristic M-shaped Fano profile indicating pulse shape dynamics.

Projected ~3% spectral bandwidth fluctuations in supercontinuum generation.

Abstract

Pulse-to-pulse fluctuations in mode-locked lasers fundamentally limit applications from optical frequency combs to supercontinuum generation. While timing jitter has been extensively characterized, pulse amplitude and width fluctuations remain less accessible experimentally. We present a statistical autocorrelation method that demonstrates pulse breathing dynamics through Fano factor analysis of second-harmonic generation autocorrelation. This reveals a characteristic M-shaped Fano profile with maxima at the autocorrelation shoulders, a signature of pulse shape dynamics that is invisible to time-averaged diagnostics. Applying this method to a passively mode-locked oscillator, we measure a bound for the pulse width fluctuations of between 10.4 and 12.0\,fs ($\sim5.0-5.7\%$ of the 210 fs FWHM). This provides a theoretical projection of $\sim3\%$ spectral bandwidth fluctuations in photonic crystal fiber supercontinuum generation using this laser. This diagnostic capability opens the door to identifying and suppressing specific breathing mechanisms, paving the way for the design of ultra-stable oscillators required for precision frequency metrology.