A simple accurate way to model noise-seeded ultrafast nonlinear processes

TL;DR

This paper introduces a simplified yet accurate noise model for ultrafast nonlinear processes, improving the simulation of noise-seeded effects like supercontinuum generation and spontaneous Raman scattering.

Contribution

A new modified shot-noise model is proposed that directly incorporates noise into the pulse propagation equation, enhancing accuracy over existing models.

Findings

More accurate simulation of noise-seeded nonlinear effects.

Better modeling of asymmetries in spontaneous processes.

Improved representation of noise in supercontinuum generation.

Abstract

Noise can play an important role in nonlinear pulse propagation. It is not only the origin of fluctuations in supercontinuum but can also determine the generated signal amplitude and phase, as seen in phenomena such as noise-seeded four-wave mixing and spontaneous Raman scattering. Current models rely on input-pulse shot noise and Raman Langevin term to simulate noise-seeded Kerr effects and spontaneous Raman scattering, respectively. However, they cannot accurately simulate any nonlinear effects exhibiting asymmetries, for example, between spontaneous Stokes and anti-Stokes generation, or in amplification with emission and absorption cross sections. Moreover, combining these two techniques does not lead to accurate modeling of both effects simultaneously, especially in unsaturated Raman operational regimes or supercontinuum where spontaneous Raman emission noise plays a crucial role. To resolve this issue, we propose a new modified shot-noise model by directly introducing noise into the pulse propagation equation. It minimally modifies current models that contain only stimulated terms.