13–17 May 2024
University of Pittsburgh / Carnegie Mellon University
US/Eastern timezone

Data Quality Monitoring for the HL-LHC Upgrade to the CMS Outer Tracker

13 May 2024, 17:00
15m
David Lawrence Hall 105 (University of Pittsburgh)

David Lawrence Hall 105

University of Pittsburgh

Computing, Analysis Tools and Data Handling Computing, Analysis Tool and Data Handling

Speaker

Brandi Nicole Skipworth (University of Tennessee (US))

Description

The CMS detector will upgrade its tracking detector in preparation for the High Luminosity Large Hadron Collider (HL-LHC). The Phase-2 outer tracker layout will consist of 6 barrel layers in the center and 5 endcap layers. These will be composed of two different types of double-sensor modules, capable of reading out hits compatible with charged particles with transverse momentum above 2 GeV (“stubs”). Stubs are used in the back-end Level 1 track-finding system to form tracks that will be considered by the Level-1 trigger to select interesting events. An important part of this update is ensuring the tracker and the stub building step work correctly, which is where Data Quality Monitoring (DQM) comes in. Currently, there is no automated system to measure the performance of stub reconstruction. This talk focuses on the software development to ensure that we can monitor the performance of stub reconstruction, making use of Monte Carlo truth information.

Author

Brandi Nicole Skipworth (University of Tennessee (US))

Co-authors

Sara Fiorendi (University of Tennessee (US)) Tova Ray Holmes (University of Tennessee (US))

Presentation materials