OPH is an active research program aiming to construct a fundamental theory of physics from observer consistency.

Repository hosting the KLFitter library – the Kinematic Likelihood Fitter.

Mathematica package for algebraic calculations in elementary particle physics. Performs automated calculation of all one- and two-loop Feynman integrals reducable to scalar integrals independent of external momenta and depending on up to two different masses.

Open source toolkit for simulating and visualizing particle interactions as predicted by the Standard Model

Book Particle Physics by Christoph Berger and Gregor Herten

Several implementations of the standard PPHPC agent-based model

Using the patterns and particles of physics as the building blocks of programs

The W(3,3)-E8 Correspondence Theorem: deriving the Standard Model from a single finite geometry with zero free parameters

Wolfram Language package calculating the couplings and mixings of the SM and MSSM

A simulator of the Big Bang.

Geometric Information Field Theory. 33 SM predictions from pure topology. 0.24% mean deviation. Zero free parameters. open source, Lean 4 verified, falsifiable.

Book II : Standard Model gauge group, particle masses and couplings derived from d=3 — 170 predictions

MIXED frustration fraction R across U(1), SU(2), SU(3) and SM gauge groups — lattice Monte Carlo + FSS (HGST E7)

This paper explores the fascinating evolution of string theory, from its origins as a novel approach known as ”bootstrap models” in relativistic particle physics to its current status as a candidate theory of quantum gravity.

Systematic scan of the Kreuzer-Skarke database for χ=−6 Calabi-Yau 3-folds — multi-tier screening pipeline + open catalogue of results

Computational companion to Projective Process Monism — a framework deriving physical constants from CP³/RP³ topology. Two interactive notebooks: five parameter-free predictions compared to measurement, and a constraint sensitivity analysis showing the framework's parameters are geometrically forced

Buch Elementarteilchenphysik 4. Auflage

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.

This api provides data related to the standard model of particle physics. it gives detailed information on the properties of each particle and the forces that interact with them.

Empirical observation: Standard Model flavor mixing parameters (CKM, PMNS, Weinberg angle) expressed using simple fractions with 3, 11, and 13. Falsifiable predictions for JUNO/DUNE.