Fast, accurate, and precise detector simulation with vision transformers Article Swipe

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Luigi Favaro , A. Giammanco , Claudius Krause ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2509.25169

The speed and fidelity of detector simulations in particle physics pose compelling questions about LHC analysis and future colliders. The sparse high-dimensional data, combined with the required precision, provide a challenging task for modern generative networks. We present a comparison between solutions with different trade-offs, including accurate Conditional Flow Matching and faster coupling-based Normalising Flows. Vision Transformers allows us to emulate the energy deposition from detailed Geant4 simulations. We evaluate the networks using high-level observables, neural network classifiers, and sampling timings, showing minimum deviations from Geant4 while achieving faster generation. We use the CaloChallenge benchmark datasets for reproducibility and further development.

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2509.25169
PDF: https://arxiv.org/pdf/2509.25169
OA Status: green
OpenAlex ID: https://openalex.org/W4415337903

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DOI: https://doi.org/10.48550/arxiv.2509.25169

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Title: Fast, accurate, and precise detector simulation with vision transformers

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-09-29

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Authors: Luigi Favaro, A. Giammanco, Claudius Krause

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Landing page: https://arxiv.org/abs/2509.25169

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PDF URL: https://arxiv.org/pdf/2509.25169

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Cited by: 0

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