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)

Analyzer for CERN Open Data Portal Machine Learning Release

REsearch in Data Science and Methodology applicated to Higgs Boson Machine Learning Challenge

A demonstration of spontaneous symmetry breaking by using Higgs potential/Mexican hat potential.

Book Particle Physics by Christoph Berger and Gregor Herten

A C++ code to calculate the three-loop corrections of order O((αt + αb)*αs^2) to the MSSM CP-even Higgs mass matrix and to the quartic Higgs coupling λ in the DR'-bar scheme.

Matthew Feickert's Ph.D. Thesis

Higgs data mining project (2015)

R exercises (2016)

C++ code to compute inclusive gluon fusion cross sections for Higgs production at the LHC

Reconstruction of neutral pions in hadronic tau decays for analysis of the CP structure of the Higgs boson

Numerical field relaxation algorithm capable of finding solutions to the Euclidean SU(2) Georgi-Glashow equations of motion on a 4D lattice.

Course project for CPSC534: Topics in Data Science & Management: Social Networks at UBC 2017

Framework to run the analysis for HHWWbb analysis

Machinery to derive limits for the 4mu analysis

Machine Learning homework project at EPFL