xMon: Updates to Live Monitoring and Predictions of Trigger Rates for ATLAS
POSTER
Abstract
xMon is an important monitoring and diagnostic tool that provides real-time trigger rate predictions for the ATLAS detector. These predictions are either based on the fitting analysis of a reference run or on ongoing data. The rates and fittings utilize key parameters such as luminosity and pileup. Deviations between the live and predicted rates can indicate potential malfunctions in the detector. Recently, progress has been made to host the visualization of these rates using a Grafana-based web display. Additionally, there have been general improvements and fixes to the offline fitting of reference runs, resulting in more accurate predictions.
Presenters
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Kyle Mo
University of Pittsburgh
Authors
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Kyle Mo
University of Pittsburgh
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Tae Min Hong
University of Pittsburgh
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Joerg Stelzer
University of Pittsburgh
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Santiago Cané
University of Pittsburgh