Visualising superpositions of isotropic 3D Gaussian fields as isosurfaces. i.e., Metaballs.
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Updated
Sep 15, 2026 - Python
Visualising superpositions of isotropic 3D Gaussian fields as isosurfaces. i.e., Metaballs.
A flexible framework for learning diffeomorphic transformations that normalize heteroskedastic uncertainty.
Code for generating LUND-format samples with uniform angle and momentum distributions. Electrons, protons, and neutrons are produced from (e,e’), (e,e’p), and (e,e’n) events, respectively. Used for CLAS12 acceptance maps and debugging in the 2N analysis.
note codes for learning RTIOW & RTNW.
Dispersion and Attenuation Analysis of Love Waves in Isotropic Viscoelastic Media
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