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oai:figshare.com:article/34045576 2026-10-01T12:06:56Z category_146 category_7 category_14 category_21 category_24 category_272 category_39 category_46 category_734 category_106 category_132 portal_63 item_type_6 month_year_10_2026

Single-Cavity Dual-Comb Mueller Polarimetry for Material-Aware LiDAR Hani J. Kbashi (14417925) Sergey Sergeyev (1295736) Space Science Medicine Molecular Biology Biotechnology Evolutionary Biology Environmental Sciences not elsewhere classified Ecology Immunology Biological Sciences not elsewhere classified Science Policy Infectious Diseases scanning incident stokes physically interpretable descriptors recovered mueller matrices based feature space aware remote sensing active mueller polarimetry results establish dual intrinsic polarization beating single source provides comb mueller polarimetry matrix polarimetric lidar matrix polarimetry aware lidar comb mueller fingerprint space multiplexed dual cavity dual state generators state basis state analyzers purity indices practical framework key advance including diattenuation hull analysis combining convex We demonstrate a single-cavity dual-comb Mueller-matrix polarimetric LiDAR that rapidly retrieves full 4 × 4 Mueller matrices without external polarization-state generators or polarization-state analyzers. The key advance is that the intrinsic polarization beating of the polarization-multiplexed dual-combs from the single source provides a self-scanning incident Stokes-state basis, replacing the sequential polarization-state generation normally required in active Mueller polarimetry. The recovered Mueller matrices are decomposed into physically interpretable descriptors, including diattenuation, polarizance, retardance, depolarization, and polarimetric-purity indices, to construct a multidimensional material-fingerprint space. Experiments on aluminum, wood, plastic, and mirror targets show clear separation of material classes in this physics-based feature space. Combining convex-hull analysis with machine-learning classification yields 93.75% accuracy. These results establish dual-comb Mueller-matrix polarimetry as a compact and practical framework for material-aware remote sensing and other applications requiring interpretable polarization contrast. 2026-10-01T00:00:00Z Text Journal contribution 10.1021/acsomega.6c08407.s001 https://figshare.com/articles/journal_contribution/Single-Cavity_Dual-Comb_Mueller_Polarimetry_for_Material-Aware_LiDAR/34045576 CC BY-NC 4.0