Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
A flow-based generative ML model for calorimeter showers in particle detectors
A conditional flow matching model to generate the number of points per layer in a particle shower.
CaTS: Calorimeter and Tracker Simulation is a flexible and extend-able framework for the simulation of various detector systems. CaTS replaces G4OpticksTest and serves as an example that demonstrates how to use opticks from within Geant4 for the creation and propagation of optical photons.
ML pipeline using MLP and Linear models to reconstruct true incident photon energy from 15x15 ECAL cell energy deposits.
Library for Processing Calorimeter Images as PointClouds for Generative Models
An internet-controlled differential scanning calorimeter, powered by Raspberry Pi
Official implementation of 'Cross-Geometry Transfer Learning in Fast Electromagnetic Shower Simulation'
Offline pipeline for the 91-parameter quantised CNN which replaces Optimal Filtering in the ATLAS Tile Calorimeter readout at HL-LHC pile-up. Preprocessing, knowledge distillation, quantisation-aware training and firmware export via Brevitas, QONNX and hls4ml. GSoC 2026, CERN-HSF.
📦 Transformer-based models to flash-simulate the LHCb ECAL detector
Toy electromagnetic calorimeter simulation and generative deep learning framework inspired by FastCaloGAN.
📦 Transformer-based models to flash-simulate the LHCb ECAL detector
Cal Hub - Calorie Tracker
The whole chain (SIM-DIGI2RAW-RAW2DIGI-REC) check project - profit from testbeam data to start middle of the chain, and validate the electronics mapping
Production code for the SimpleBox and LEMURS point cloud calorimeter shower datasets: Geant4/DD4hep simulation to training-ready HDF5
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