Speaker
Description
Simulating detector and reconstruction effects on physics quantities is of paramount importance for data analysis, but unsustainably costly for the upcoming HEP experiments.
The most radical approach to speed-up detector simulation is a Flash Simulation, as proposed by the LHCb collaboration in Lamarr, a software package implementing a novel simulation paradigm relying on deep generative models and seq2seq attention-driven techniques to deliver simulated samples. Thanks to its modular layout, Lamarr provides analysis-level quantities by applying a pipeline of machine-learning-based modules that properly transforms the information resulting from physics generators.
Good agreement is observed by comparing key reconstructed quantities obtained with Lamarr against those from the existing detailed Geant4-based simulation. Integrated within the general LHCb Simulation software framework, we show that a two-order magnitude cost reduction can be achieved by adopting Lamarr.
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