GNLStools.py: A generalized nonlinear Schr?dinger Python module implementing different models of input pulse quantum noise

We provide Python tools enabling numerical simulation and analysis of the propagation dynamics of ultrashort laser pulses in nonlinear waveguides. The modeling approach is based on the widely used generalized nonlinear Schrodinger equation for the pulse envelope. The presented software implements the effects of linear dispersion, pulse self-steepening, and the Raman effect. The focus lies on the implementation of input pulse shot noise, i.e. classical background fields that mimic quantum noise, which are often not thoroughly presented in the scientific literature. We discuss and implement commonly adopted quantum noise models based on pure spectral phase noise, as well as Gaussian noise. Coherence properties of the resulting spectra can be calculated. We demonstrate the functionality of the software by reproducing results for a supercontinuum generation process in a photonic crystal fiber, documented in the scientific literature. The presented Python tools are open-source and released under the MIT license in a publicly available software repository.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Automated summary

This article introduces research that provides Python tools for numerical simulation and analysis of the propagation dynamics of ultrashort laser pulses in nonlinear waveguides. The software implements the effects of linear dispersion, pulse self-steepening, and the Raman effect, with a focus on input pulse shot noise modeling. The functionality of the software is demonstrated by reproducing results for a supercontinuum generation process documented in scientific literature.