19–23 May 2025
CERN
Europe/Zurich timezone

DDFastShowerML: A Library for ML-based Fast Calorimeter Shower Simulation at Future Collider Experiments and Beyond

20 May 2025, 11:30
20m
222/R-001 (CERN)

222/R-001

CERN

200
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Contributed talk 3 ML for simulation and surrogate model: Application of ML for simulation or cases of replacing an existing complex model Contributed Talks

Speaker

Peter McKeown (CERN)

Description

Given the intense computational demands of full simulation approaches based on traditional Monte Carlo methods, recent fast simulation approaches for calorimeter showers based on deep generative models have received significant attention.

However, for these models to be used in production it is essential for them to be integrated within the existing software ecosystems of experiments. This additionally allows the full reconstruction chain of an experiment to be used as a benchmark of the performance of a model. Such a development therefore provides access to a new suite of physics-based metrics, which ultimately determine a model’s suitability as a fast simulation tool.

In this contribution we describe DDFastShowerML, a library now available in Key4hep. This generic library provides a means of combining inference of generative models trained to simulate calorimeter showers with the DD4hep toolkit, by making use of the fast simulation hooks that exist in Geant4. This makes it possible to simulate showers in realistically detailed detector geometries, such as those proposed for use at future colliders and for community challenges, while seamlessly combining full and fast simulation. Examples will be given of numerous models that have been integrated, as well as the various detector geometries that have been studied, highlighting the flexibility of the library. A summary of future development directions will also be given.

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Authors

Anatolii Korol (Deutsches Elektronen-Synchrotron (DESY)) Anna Zaborowska (CERN) Frank-Dieter Gaede (Deutsches Elektronen-Synchrotron (DE)) Gregor Kasieczka (Hamburg University (DE)) Katja Kruger (Deutsches Elektronen-Synchrotron (DE)) Martina Mozzanica (university of hamburg) Peter McKeown (CERN) Piyush Raikwar (CERN) Thomas Madlener (Deutsches Elektronen-Synchrotron (DESY)) Thorsten Lars Henrik Buss (Universität Hamburg)

Presentation materials