PIPPIN: Generating variable length full events from partons

Quétant, Guillaume, Raine, John Andrew, Leigh, Matthew, Sengupta, Debajyoti, Golling, Tobias

arXiv.org Machine Learning 

This occurs before In the realm of high-energy physics, the simulation of they hit the detector material and greatly increases the particle collisions is a crucial tool for the downstream number of particles produced by the collision. Following analysis of the huge amount of data produced by collider this, all stable particles are propagated through the experiments. The classical generation of these simulated detector material, where they can interact with it and events is a complex task. By far the most computationally produce secondary particles. This showering process is taxing subtask is the propagation of particles through typically the most computationally expensive part of the the detectors, accounting for the interactions with the simulation. Finally, the deposited energy in the detector detector material and modelling the secondary radiation is digitised and reconstructed into objects such as jets, showers this produces. This process is usually performed leptons and missing transverse energy (MET).

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