Neural networks for high precision scattering amplitudes
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Updated
Nov 21, 2022 - Python
Neural networks for high precision scattering amplitudes
Mathematica graph tools for scattering amplitudes.
Final year dissertation on Scattering amplitudes using BCFW
Monte Carlo Event Generator for High Energy Diffraction [arXiv:2304.06010] [arXiv:1910.06300]
This project aims to ease work of particle physicists through tools that allow tasks like numerical calculations, generation of diagrams, latexing them, calculating amplitudes and cross sections, etc. This also provides full customizability to add any new theory you want.
Mathematica notebooks for one-loop string amplitudes and their field-theory limit.
yy->yy (light by light) scattering amplitudes
Exact computation with cluster algebras in Julia: quiver and seed mutation, principal coefficients, finite-type classification, exchange graphs, green sequences, and Grassmannian cluster structures
Tree-level scattering amplitudes via the amplituhedron's positive geometry
PhD research notes, calculations, modelling, and experimentation
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