Speaker
Description
In 2030, the Large Hadron Collider (LHC) will begin operating at a higher instantaneous luminosity. At the ATLAS detector, this will result in an average of 200 interactions per proton-proton bunch crossing. In order to prepare for high-luminosity, the ATLAS detector must undergo several upgrades, including the replacement of the current particle tracker with the inner tracker (ITk). The new inner tracker will be able to resolve the increased density of charged particle tracks and also withstand the high radiation environment of the high-luminosity LHC. As a result, it will provide valuable event information for the precision measurement of the Standard Model and the search for physics beyond the Standard Model.
ITk uses two main subsystems to reconstruct charged particle tracks: silicon pixels in the inner central region and silicon strips in the outer central and forward regions. The data acquisition system for the silicon strips must read out over 60 million channels at a rate of 1 MHz, and can be affected by a variety of error conditions. In this talk, I will present a new histogramming tool that can be used to monitor the rate of these errors in real time. This provides valuable information about the performance of the readout system, and can help to quickly identify and resolve problems during system tests, integration, or data-taking. The effectiveness of this monitoring tool is studied with different hardware configurations and preliminary results are presented.
| Keyword-1 | HL-LHC Upgrade |
|---|---|
| Keyword-2 | Silicon detectors |