Random matrix theory of polarized light scattering in disordered media
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Updated
Nov 3, 2026 - Python
Random matrix theory of polarized light scattering in disordered media
Python scripts from paper Optimal cleaning for singular values of cross-covariance matrices, by Florent Benaych-Georges, Jean-Philippe Bouchaud, Marc Potters (see https://arxiv.org/abs/1901.05543)
Source code for reproducing free random projection
Python tools for finite free probability, random matrix sampling and spectral computation.
25 mathematical candidate conjectures, six priority research leads, illustrated explanations, and reproducible evidence. Proofs, counterexamples, and literature welcome.
A Python package for numerical work with random matrix ensembles, with a particular focus on the Gaussian, Laguerre, Jacobi, and Circular beta ensembles. The package implements spectrum generation for general Dyson index beta.
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