Geodesy

Detector

Benchmark (surveying)

Generative model

Nuclear physics

Particle physics

Telecommunications

Computer science

Nozzle

Statistical physics

Thermodynamics

Collider

Physics

Generative grammar

Shower

Optics

Geography

Calorimeter (particle physics)

Artificial intelligence

Physical review. D/Physical review. D.

Score-based generative models are a new class of generative algorithms that have been shown to produce realistic images even in high dimensional spaces, currently surpassing other state-of-the-art models for different benchmark categories and applications. In this work we introduce caloscore, a score-based generative model for collider physics applied to calorimeter shower generation. Three different diffusion models are investigated using the Fast Calorimeter Simulation Challenge 2022 dataset. caloscore is the first application of a score-based generative model in collider physics and is able to produce high-fidelity calorimeter images for all datasets, providing an alternative paradigm for calorimeter shower simulation.

Score-based generative models for calorimeter shower simulation