Cover Image

CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Buhmann, Erik, Diefenbacher, Sascha, Eren, Engin, 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 II: Ultra-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)

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

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

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

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

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

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)

Calibrating Bayesian Generative Machine Learning for Bayesiamplification
by: Bieringer, Sebastian, et al.
Published: (2024)

Generative Models and Statistical Validation
by: Diefenbacher, Sascha, et al.
Published: (2026)

Agents of Discovery
by: Diefenbacher, Sascha, et al.
Published: (2025)

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

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

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

Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
by: Birk, Joschka, et al.
Published: (2023)

Full Phase Space Resonant Anomaly Detection
by: Buhmann, Erik, et al.
Published: (2023)

Discriminative versus Generative Approaches to Simulation-based Inference
by: Sluijter, Benjamin, et al.
Published: (2025)

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

Weakly Supervised Anomaly Detection in Events with a Higgs Boson and Exotic Physics
by: Cheng, Chi Lung, et al.
Published: (2025)

Combining Resonant and Tail-based Anomaly Detection
by: Bickendorf, Gerrit, et al.
Published: (2023)

Improving Generative Model-based Unfolding with Schrödinger Bridges
by: Diefenbacher, Sascha, et al.
Published: (2023)

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

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

CaloGraph: Graph-based diffusion model for fast shower generation in calorimeters with irregular geometry
by: Kobylianskii, Dmitrii, et al.
Published: (2024)

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)

A Scientific Human-Agent Reproduction Pipeline
by: Birk, Joschka, et al.
Published: (2026)

Learning Broken Symmetries with Approximate Invariance
by: Nabat, Seth, et al.
Published: (2024)

Arbitrary-Velocity Volkov Wavepackets
by: Ramsey, D., et al.
Published: (2026)

OmniJet-$α$: The first cross-task foundation model for particle physics
by: Birk, Joschka, et al.
Published: (2024)

Classifier Surrogates: Sharing AI-based Searches with the World
by: Bieringer, Sebastian, et al.
Published: (2024)

Generative Unfolding with Distribution Mapping
by: Butter, Anja, et al.
Published: (2024)

Complete Optimal Non-Resonant Anomaly Detection
by: Kasieczka, Gregor, et al.
Published: (2024)

Vavilov-Cherenkov radiation for parallel motion in three-dimensional topological insulators
by: Franca, O. J., et al.
Published: (2024)

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

A New Probe for Long-Lived Particles at Higgs Factories: Displaced Photons in the Hadronic Calorimeter
by: Jiang, Zhicheng, et al.
Published: (2025)

CaloDREAM -- Detector Response Emulation via Attentive flow Matching
by: Favaro, Luigi, et al.
Published: (2024)

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