solprop

Ultrafast nonlinear pulse propagation in Python — from few-cycle pulses in gas-filled hollow-core fibres to multimode solid-core fibres and free-space beams.

Everything, fast, with rigour. solprop aims to be one unified, highly accurate code for nonlinear pulse propagation, scaling from a laptop to a GPU cluster, with every model derived, cited and verified against analytic and independent references (About solprop).

It solves the unidirectional pulse propagation equation (UPPE) and the generalised nonlinear Schrödinger equation (GNLSE), for the full electric field or its envelope, in waveguides and in free space. Use it for soliton self-compression to sub-cycle pulses, resonant dispersive-wave emission into the vacuum and deep ultraviolet, supercontinuum generation, multimode and graded-index beam dynamics, filamentation, photoionisation and plasma, and Raman frequency combs.

Start with the introduction to install solprop and work through a simulation. The user guide explains how to choose a model, configure a run, and interpret its results, with the equations and numerical details alongside the practical guidance.

The primer is a long-form, start-to-finish account of the physics and numerics, from Maxwell’s equations through the UPPE and GNLSE to waveguides, free space, the material responses and the numerical methods, for a day or two of reading.

The examples explore particular physical processes and experimental configurations. Use the API reference to look up arguments and return values, and the developer’s guide to work on solprop itself.