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.

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

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.

Spectral Causal Theory: derivations, verification, analysis, and publications.

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

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

The W(3,3)-E6 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.

Universal Measurement Contract Protocol (UMCP) — a contract-first validation framework implementing Generative Collapse Dynamics. 23 domains · 746 proven theorems · 20k+ tests · 44 structural identities · Python + C++17 accelerator.

The Cascade Series: The universe from nothing

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.

Computational companion to Projective Process Monism. Derives Standard Model parameters and cosmological constants from CP³/RP³ topology + one empirical anchor (m_π). Sliders, fixed-comparison falsification tests, and a live active-inference demo let you test the framework. Companion notebook walks every derivation.

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.

A concise, cheatsheet about properties of elementary particles in the 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.