Projects

An open-source Python library with all the pieces to build any photonics library. It helps photonics researchers and educators explain concepts through code and visualization.

What’s inside

• GNLSE solver. Arbitrary-order dispersion, Kerr effect, delayed Raman response, self-steepening, plus vector & multimode engines; soliton fission and supercontinuum
• Soliton analysis. Soliton order, fission length, dispersive-wave wavelength, and exact breather solutions (Akhmediev, Peregrine, Kuznetsov–Ma)
• Raman modeling. Full Raman response physics for 44 materials (glasses, semiconductors, chalcogenides incl. GeAsSe) with a SQLite material database
• χ⁽²⁾ nonlinear optics. Quasi-phase-matched SHG, cascaded three-wave integration, and an inverse-design layer
• FROG. SHG-FROG trace generation + PCGPA pulse retrieval
• Structured light. Laguerre-Gaussian / OAM modes, overlap integrals, Gaussian-beam propagation
• FEM mode import. Pull n_eff(λ) tables from Lumerical, COMSOL, or femwell into dispersion objects

Published on PyPI with hosted API documentation. The physics is stated against the literature and tested against analytic ground truth.

Contributed a custom Raman scattering implementation to laserfun, a widely used Python library for modeling nonlinear pulse propagation.

What it does

The GNLSE solver previously supported only built-in Raman response models. My contribution lets users plug in material-specific Raman gain profiles, essential for accurate supercontinuum modeling in chalcogenides like As₂Se₃ and GeAsSe, where the standard silica Raman model fails badly.

• Custom Raman response support in laserfun/nlse.py (+172/−126 lines)
• Refined after maintainer review
• Updated demonstration examples

Why it matters

Chalcogenide glasses have very different Raman characteristics than silica. This makes laserfun usable for the mid-IR supercontinuum work I do, and for anyone working with non-silica media.