Development of POTATO for 2S Module Grading for the CMS Phase-2 Outer Tracker Upgrade

Technical Report · Thu Sep 12 00:00:00 EDT 2024

DOI:https://doi.org/10.2172/2446893· OSTI ID:2446893

Klupshas, Anna ^[1]; Ravera, Fabio ^[2]

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1. Purdue U.
2. Fermilab

Due to the High Luminosity-Large Hadron Collider (HL-LHC) upgrade, several detectors of the Compact Muon Solenoid (CMS) will need to be upgraded, specifically the new Outer Tracker detector that will be composed of 13,200 silicon modules. The Outer Tracker features two types of modules; the PS (pixel-strip) and the 2S (strip-strip) modules. With a large influx of production of modules, extensive testing is required to ensure they fulfill the performance requirements. This research introduces POTATO (Phase-II Outer Tracker Analyzer of Test Outputs), a specialized software developed in C++ to analyze, grade, and store results in a centralized database since module data will be collected from various international production facilities. The implementation of POTATO will facilitate the selection of the best performing modules for the Outer Tracker upgrade. This paper is focused on the implementation of the analysis of 2S Module results within POTATO.

• Research Organization: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Purdue U.
• Sponsoring Organization: US Department of Energy
• DOE Contract Number: AC02-07CH11359; 89243024CSC000002
• OSTI ID: 2446893
• Report Number(s): FERMILAB-FN-1262-STUDENT; oai:inspirehep.net:2827563
• Country of Publication: United States
• Language: English

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