Revolutionary method to derive fundamental physics parameters from observed constants using iterative backward-forward reconstruction. Predicting 31% Higgs coupling anomalies and new physics beyond Standard Model.

Determination of |V_ub| from semi-leptonic B meson decays using non linear least squares optimization. | REYES 2023 Project

We present a **reverse reconstruction method**, which the 18 fundamental constants of the Standard Model from just 5 primordial parameters with 1-3% accuracy.

Machine Learning homework project at EPFL

This code generates the generator matrices for special unitary groups of a given degree. It can also use the Higgs mechanism to break symmetry to return boson mass terms.

Classification of Higgs boson on kaggle dataset

ROS opencv camera driver, with support for the FLIR Boson thermal camera

Bosons/Fermions Superfluid problem with morden tools.

Nonlinear Regge trajectories

The program performing exact diagonalization for fermion and boson many body localized hamiltonians.

Intellij IDEA Plugin for BosonPHP framework

Fortran program that solves the three-dimensional Gross - Pitaevskii equation for a system of N bosons confined in a harmonic trap.

Ground state of the Gutzwiller wavefunction for one- and two-component Bose-Hubbard model

This is a Diffusion Monte Carlo code written in Fortran 90. The code performs a DMC simulation of a homogeneous system in an arbitrary dimensionality.

Tree-Tensor-Network State for Bosons

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

This is a Path Integral Ground State Monte Carlo code written in Fortran. It is intended to the description of 4He in three dimensions but it can be easily extended to any other homogeneous or trapped system in any dimensions

(Bo)son (S)ampling (S)imulator based on the most current works in the field! Yay!