Preprint PUBDB-2025-04623

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CaloClouds3: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation

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2025

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Report No.: DESY-25-148; arXiv:2511.01460

Abstract: We present CaloClouds3, a model for the fast simulation of photon showers in the barrel of a high granularity detector. This iteration demonstrates for the first time how a pointcloud model can employ angular conditioning to replicate photons at all incident angles. Showers produced by this model can be used across the whole detector barrel, due to specially produced position agnostic training data. With this flexibility, the model is usable in a full simulation and reconstruction chain, which offers a further handle for evaluating physics performance of the model. As inference time is a crucial consideration for a generative model, the pre-processing and hyperparameters are aggressively optimised, achieving a speed up factor of two orders of magnitude over Geant4 at inference.

Keyword(s): Instrumentation and Detectors (physics.ins-det) ; High Energy Physics - Experiment (hep-ex) ; Computational Physics (physics.comp-ph) ; FOS: Physical sciences


Note: 28 pages, 19 figures. Prepared for submission to JINST

Contributing Institute(s):
  1. Technol. zukünft. Teilchenph. Experim. (FTX)
Research Program(s):
  1. 622 - Detector Technologies and Systems (POF4-622) (POF4-622)
  2. DFG project G:(GEPRIS)390833306 - EXC 2121: Das Quantisierte Universum II (390833306) (390833306)
  3. 05D23GU4 - Verbundprojekt 05D2022 - KISS: Künstliche Intelligenz zur schnellen Simulation von wissenschaftlichen Daten. Teilprojekt 1. (BMBF-05D23GU4) (BMBF-05D23GU4)
Experiment(s):
  1. Facility (machine) ILC

Appears in the scientific report 2025
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 Record created 2025-10-28, last modified 2026-01-05