Autoencoder-based Online Data Quality Monitoring for the CMS Electromagnetic Calorimeter

no code implementations • 31 Aug 2023 • Abhirami Harilal, Kyungmin Park, Michael Andrews, Manfred Paulini

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.

Anomaly Detection

A simulation study to distinguish prompt photon from $π^0$ and beam halo in a granular calorimeter using deep networks

no code implementations • 12 Aug 2018 • Shamik Ghosh, Abhirami Harilal, A. R. Sahasransu, Ritesh Kumar Singh, Satyaki Bhattacharya

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.