Spectral decomposition of the Mueller matrix: A geometrical model
Colin J. R. Sheppard

TL;DR
This paper introduces a spectral decomposition method for Mueller matrices, representing them as a sum of deterministic matrices, and provides a geometric interpretation of the eigenvalues based on matrix invariants.
Contribution
It presents a novel spectral decomposition approach for Mueller matrices and offers a geometric model for understanding their eigenvalues.
Findings
Decomposition of Mueller matrices into up to four Mueller-Jones matrices.
Eigenvalues are represented geometrically using matrix invariants.
Provides a new geometric interpretation of the spectral components.
Abstract
An arbitrary Mueller matrix can be decomposed into a sum of up to four deterministic Mueller-Jones matrices, with strengths given by the eigenvalues of an associated Hermitian matrix. A geometrical representation of the eigenvalues in terms of the matrix invariants is presented.
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Taxonomy
TopicsOptical Polarization and Ellipsometry · Leaf Properties and Growth Measurement · Surface Roughness and Optical Measurements
