Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
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Updated
Jun 8, 2024 - Jupyter Notebook
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
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.
Library for Processing Calorimeter Images as PointClouds for Generative Models
A conditional flow matching model to generate the number of points per layer in a particle shower.
An internet-controlled differential scanning calorimeter, powered by Raspberry Pi
Official implementation of 'Cross-Geometry Transfer Learning in Fast Electromagnetic Shower Simulation'
📦 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
📦 Transformer-based models to flash-simulate the LHCb ECAL detector
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