Speaker
Description
For High Energy Physics (HEP) experiments, the calorimeter is a key detector to measure the energy of particles. Particles interact with the material of the calorimeter, creating cascades of secondary particles, the so-called showers. Description of the showering process relies on simulation methods that precisely describe all particle interactions with matter. Constrained by the complexity of the calorimeter geometry and the need to accurately simulate the interaction with each material, the simulation of calorimeters is inherently slow and constitutes a bottleneck for current and future HEP analysis. In order to spur the development and benchmarking of fast and high-fidelity simulation, the first-ever fast calorimeter simulation challenge “CaloChallenge” was proposed. The challenge offers a common benchmark of performance metrics and three realistic datasets, ranging in difficulty from easy to medium to hard. This contribution highlights an initial analysis of submitted results using new approaches of generative models.
| Consider for long presentation | Yes |
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