This example guides the user to reproducing the discovery of the Higgs boson using the 2011 and 2012 datasets. It contains multiple levels of examples, from very simple to a full analysis. See README.md for further details.
A tiny cross-platform Go library to hide/unhide files and directories
Event level classifier for the hh-->yybb analysis using multi-stream RNNs
A C++ library to calculate the three-loop corrections to the MSSM CP-even Higgs mass matrix and to the quartic Higgs coupling λ.
All the material needed to implement aTree Tensor Network (TTN) supervised classifier for HIGGS dataset in the context of High Energy Physics (HEP)
Book Particle Physics by Christoph Berger and Gregor Herten
A demonstration of spontaneous symmetry breaking by using Higgs potential/Mexican hat potential.
Analyzer for CERN Open Data Portal Machine Learning Release
Higgs data mining project (2015)
R exercises (2016)
Course project for CPSC534: Topics in Data Science & Management: Social Networks at UBC 2017
Analysis pipeline for measuring the trilinear Higgs self-coupling (κ3) in HH → bbbb at multi-TeV muon colliders (arXiv:2608.01888)
Strong Theorem on the Higgs Sector of SU(6) GUT — Complete Algebraic Proof with Numerical Confirmation
Smart pipeline to perform TTS/TTT/STS/STT functionalities as a router
Warped Information Number (WIN) Paradigm by Stanley Preschutti (Information Physics Institute, UK). A zero-parameter, falsifiable validation suite testing theoretical physics, cosmology, quantum scrambling, and nuclear scaling against empirical data. Built with strict failure tripwires. © 2026 Stanley Preschutti.
Numerical field relaxation algorithm capable of finding solutions to the Euclidean SU(2) Georgi-Glashow equations of motion on a 4D lattice.
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