Cover Image

CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Buhmann, Erik, Gaede, Frank, Kasieczka, Gregor, Korol, Anatolii, Korcari, William, Krüger, Katja, McKeown, Peter
Format:	Preprint
Published:	2023
Subjects:	Instrumentation and Detectors Machine Learning High Energy Physics - Experiment High Energy Physics - Phenomenology Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation
by: Buhmann, Erik, et al.
Published: (2023)

CaloClouds3: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
by: Buss, Thorsten, et al.
Published: (2025)

CaloHadronic: a diffusion model for the generation of hadronic showers
by: Buss, Thorsten, et al.
Published: (2025)

Cross-Geometry Transfer Learning in Fast Electromagnetic Shower Simulation
by: Gaede, Frank, et al.
Published: (2025)

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
by: Krause, Claudius, et al.
Published: (2024)

A First Full Physics Benchmark for Highly Granular Calorimeter Surrogates
by: Buss, Thorsten, et al.
Published: (2025)

Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
by: Buss, Thorsten, et al.
Published: (2024)

AllShowers: One model for all calorimeter showers
by: Buss, Thorsten, et al.
Published: (2026)

CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation
by: Huang, Zhengkun, et al.
Published: (2026)

CaloPointFlow II Generating Calorimeter Showers as Point Clouds
by: Schnake, Simon, et al.
Published: (2024)

CaloScore v2: Single-shot Calorimeter Shower Simulation with Diffusion Models
by: Mikuni, Vinicius, et al.
Published: (2023)

A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
by: Raikwar, Piyush, et al.
Published: (2025)

OmniJet-$α_C$: Learning point cloud calorimeter simulations using generative transformers
by: Birk, Joschka, et al.
Published: (2025)

Hadron Identification Prospects With Granular Calorimeters
by: De Vita, Andrea, et al.
Published: (2025)

Refining Fast Calorimeter Simulations with a Schrödinger Bridge
by: Diefenbacher, Sascha, et al.
Published: (2023)

Ultra Fast Calorimeter Simulation with Generative Machine Learning on FPGAs
by: May, P. Alex, et al.
Published: (2026)

step2point dataset: Detailed shower simulation for data representation studies
by: Zaborowska, Anna, et al.
Published: (2025)

Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation
by: Liu, Qibin, et al.
Published: (2024)

LEMURS dataset: Large-scale multi-detector ElectroMagnetic Universal Representation of Showers
by: McKeown, Peter, et al.
Published: (2025)

Functional Verification for Endcap Concentrator ASICs in the High-Granularity Calorimeter Upgrade of CMS
by: Lupi, M., et al.
Published: (2024)

Machine Learning for Event Reconstruction in the CMS Phase-2 High Granularity Calorimeter Endcap
by: Cuisset, Théo
Published: (2025)

CaloFlow for CaloChallenge Dataset 1
by: Krause, Claudius, et al.
Published: (2022)

Conceptual Design of a Novel Highly Granular Crystal Electromagnetic Calorimeter for Future Higgs Factories
by: Qi, Baohua, et al.
Published: (2026)

Calculation of Forces to the High Granularity Calorimeter Stainless Steel Absorbers Misaligned inside the CMS Superconducting Coil
by: Klyukhin, Vyacheslav
Published: (2024)

Calculation of Forces on the High Granularity Calorimeter Stainless Steel Absorber Plates in the Compact Muon Solenoid Magnetic Field
by: Klyukhin, Vyacheslav
Published: (2024)

Leveraging Staggered Tessellation for Enhanced Spatial Resolution in High-Granularity Calorimeters
by: Paul, Sebouh J., et al.
Published: (2023)

Calorimeter commissioning of the SuperNEMO Demonstrator
by: Aguerre, X., et al.
Published: (2024)

CaloShowerGAN, a Generative Adversarial Networks model for fast calorimeter shower simulation
by: Giannelli, Michele Faucci, et al.
Published: (2023)

The T-SDHCAL Hadronic Calorimeter for a Future Higgs factory
by: Tytgat, M., et al.
Published: (2025)

Design and Performance Simulation of the Electromagnetic Calorimeter at EicC
by: Tian, Ye, et al.
Published: (2025)

Novel Silicon and GaAs Sensors for Compact Sampling Calorimeters
by: Abramowicz, H., et al.
Published: (2025)

Design of a LYSO Crystal Electromagnetic Calorimeter for DarkSHINE Experiment
by: Zhao, Zhiyu, et al.
Published: (2024)

Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks
by: Wemmer, F., et al.
Published: (2023)

Machine Learning for the Cluster Reconstruction in the CALIFA Calorimeter at R3B
by: Jenegger, Tobias, et al.
Published: (2025)

AI-Assisted Object Condensation Clustering for Calorimeter Shower Reconstruction at CLAS12
by: Matousek, Gregory, et al.
Published: (2025)

Energy Response and Resolution to Positrons in a Capillary-Tube Dual-Readout Calorimeter
by: Albergo, Sebastiano Francesco, et al.
Published: (2025)

Design of a CsI(Tl) Calorimeter for Muonium-to-Antimuonium Conversion Experiment
by: Chen, Siyuan, et al.
Published: (2024)

High-Precision Alignment Techniques for Realizing an Ultracompact Electromagnetic Calorimeters Using Oriented high-Z Scintillator Crystals
by: Malagutti, Lorenzo, et al.
Published: (2025)

Study of the Radiation Hardness of the ATLAS Tile Calorimeter Optical Instrumentation with Run 2 data
by: Abdallah, J., et al.
Published: (2024)

End-to-End Detector Optimization with Diffusion models: A Case Study in Sampling Calorimeters
by: Schmidt, Kylian, et al.
Published: (2025)