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Autoencoder-based Online Data Quality Monitoring for the CMS Electromagnetic Calorimeter
The online Data Quality Monitoring system (DQM) of the CMS electromagnetic calorimeter (ECAL) is a crucial operational tool that allows ECAL experts to quickly identify, localize, and diagnose a broad range of detector issues that would otherwise hinder physics-quality data taking.
A simulation study to distinguish prompt photon from $π^0$ and beam halo in a granular calorimeter using deep networks
In a hadron collider environment identification of prompt photons originating in a hard partonic scattering process and rejection of non-prompt photons coming from hadronic jets or from beam related sources, is the first step for study of processes with photons in final state.
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