Build AI-powered autonomous agents for research, coding, and task automation with Alice
Track coding progress and build a practical web development reference with examples, notes, and exercises focused on HTML, CSS, and JavaScript.
Simulate and stream real-time LHC detector data for analysis, monitoring, and triggering using a C++ and Python-based pipeline with live visualization.
Colibri is an adaptable, open-source platform for flexible Parton Distribution Function (PDF) fitting. It is a reportengine app that performs PDF fits with any given parametrisation.
An open-source machine learning framework for global analyses of parton distributions.
PHSD-PHQMD: Unified non-equilibrium microscopic transport framework for heavy-ion collisions, connecting partonic and hadronic dynamics from initial scattering to final-state interactions.
Matrix element calculations as used in JHUGen. MELA is an important tool that was used for the Higgs boson discovery and for precise measurements of its structure and interactions. Please see the website https://spin.pha.jhu.edu/ and papers cited there for more details, and kindly cite those papers when using this code.
Repository for J/psi-jets analysis within ALICE's Run 3
A package for event file analysis and recasting of LHC results
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.
We present a novel reverse reconstruction method that predicts the QCD critical point at $T = 151$ MeV, $\mu_B = 364$ MeV from fundamental physical constants. Our approach shows excellent agreement with LHC data and provides testable predictions for CERN's recent oxygen-proton collision program.
We present a **reverse reconstruction method**, which the 18 fundamental constants of the Standard Model from just 5 primordial parameters with 1-3% accuracy.
Bayesian MCMC cosmology pipeline: dynamic dark energy (w0-wa) vs ΛCDM using Pantheon+ SNe Ia & SDSS DR12 BAO. Full covariance matrix, Planck 2018 r_d prior, AIC/BIC model selection. Python | emcee | camb | astropy
This repository contains code pretaining to my Master's project on anomaly detection algorithms for the ATLAS detector for the HL-LHC upgrades.
This repository contains the analysis framework used to reconstruct spin density matrices of electroweak boson pairs (ZZ and W⁺W⁻) produced in proton–proton collisions at √s = 13 TeV, and to evaluate quantum entanglement observables. Full project report available in this repo (University of Manchester MPhys, 2025).
Smooth inference for reinterpretation studies
A central exclusive processes event generator
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