Machine Learning applications for Data Quality Monitoring and Data Certification within CMS

Abstract The Compact Muon Solenoid (CMS) detector is getting ready for datataking in 2022, after a long shutdown period. LHC Run-3 expected to deliver an ever-increasing amount of data. To ensure that the recorded data has best quality possible, CMS Collaboration dedicated Data Quality Monitoring (DQM) and Certification (DC) working groups. These groups are made human shifters experts who carefully watch investigate histograms generated from different parts detector. However, current workflow not granular enough prone errors. On other hand, several techniques Machine Learning (ML) can be designed learn large collections make predictions at unprecedented speed granularity. Hence, certification process considered as perfect problem ML tackle. With help ML, we increase granularity DQM assist detecting anomalies during data-taking. In this presentation, present preliminary results incorporating highly information certification.