Geant4
PulseAugur coverage of Geant4 — every cluster mentioning Geant4 across labs, papers, and developer communities, ranked by signal.
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New WGAN method corrects sensor data drift using adversarial learning
Researchers have developed a novel method using Wasserstein Generative Adversarial Networks (WGANs) to correct distribution drift in sensor data caused by factors like motion or aging. This approach treats the generator…
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GPT-style model accelerates CLAS12 detector simulation
Researchers have developed a GPT-style autoregressive transformer model to simulate detector hits for the CLAS12 experiment at the Thomas Jefferson National Accelerator Facility. This model, conditioned on incident mome…
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CaloTrilogy framework accelerates particle physics simulation
Researchers have developed CaloTrilogy, a novel framework for high-precision calorimeter simulation in particle physics. This method combines an average velocity field integrator for fast sampling with a learned generat…
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Vision transformers accelerate calorimeter simulations in physics
Researchers have developed a universal vision transformer (ViT) capable of simulating calorimeter responses in high-energy physics detectors with high accuracy and speed. This new architecture, building on CaloDREAM, de…