Jul 6 – 13, 2022
Bologna, Italy
Europe/Rome timezone

Generative Models for Fast Simulation of Electromagnetic and Hadronic Showers in Highly Granular Calorimeters

Jul 8, 2022, 9:30 AM
15m
Room 12 (Celeste)

Room 12 (Celeste)

Parallel Talk Computing and Data handling Computing and Data handling

Speaker

Peter McKeown (Deutsches Elektronen-Synchrotron (DE))

Description

While simulation is a crucial cornerstone of modern high energy physics, it places a heavy burden on the available computing resources. These computing pressures are expected to become a major bottleneck for the upcoming high luminosity phase of the LHC and for future colliders, motivating a concerted effort to develop computationally efficient solutions. Methods based on generative machine learning models hold promise to alleviate the computational strain produced by simulation, while providing the physical accuracy required of a surrogate simulator.

This contribution provides an overview of a growing body of work focused on simulating showers in highly granular calorimeters, which is making significant strides towards realising fast simulation tools based on deep generative models. Progress on the simulation of both electromagnetic and hadronic showers will be reported, with a focus on the high degree of physical fidelity and computational performance achieved. Additional steps taken to address the challenges faced when broadening the scope of these simulators, such as those posed by multi-parameter conditioning, will also be discussed.

In-person participation Yes

Primary authors

Engin Eren (Deutsches Elektronen-Synchrotron (DE)) Erik Buhmann (Hamburg University (DE)) Frank Gaede (Deutsches Elektronen-Synchrotron (DE)) Gregor Kasieczka (Hamburg University (DE)) Imahn Shekhzadeh (Hamburg University (DE)) Katja Kruger (Deutsches Elektronen-Synchrotron (DE)) Lennart Rustige (CDCS / DESY) Peter McKeown (Deutsches Elektronen-Synchrotron (DE)) Sascha Diefenbacher (Hamburg University (DE)) Sebastian Bieringer (Hamburg University (DE)) William Korcari (Hamburg University (DE))

Presentation materials