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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, demonstrates robustness across various geometries and detectors, generating electromagnetic and hadronic showers with minimal deviation from established simulation methods like Geant4. The ViT achieves simulation times in the tens to hundreds of milliseconds on a single GPU, and pre-training followed by fine-tuning further enhances efficiency and fidelity. AI

IMPACT Enables faster and more accurate simulations for high-energy physics experiments, potentially accelerating discovery.

RANK_REASON Academic paper detailing a new methodology for scientific simulation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Vision transformers accelerate calorimeter simulations in physics

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Academic paper detailing a new methodology for scientific simulation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Luigi Favaro, Andrea Giammanco, Claudius Krause ·

    A universal vision transformer for fast calorimeter simulations

    arXiv:2601.05289v2 Announce Type: replace-cross Abstract: The high-dimensional complex nature of detectors makes fast calorimeter simulations a prime application for modern generative machine learning. Vision transformers (ViTs) can emulate the Geant4 response with unmatched accu…