Author(s)
|
Fadeyev, Vitaliy (University of California,Santa Cruz (US)) ; Beranek, Marek (Czech Technical University in Prague (CZ)) ; Bach Marques, Eric (Consejo Superior de Investigaciones Cientificas (CSIC) (ES)) ; Basso, Matthew Joseph (University of Toronto (CA)) ; Blue, Andrew James (University of Glasgow (GB)) ; Federicova, Pavla (Czech Academy of Sciences (CZ)) ; Fernandez-Tejero, Xavi (Simon Fraser University (CA)) ; Fournier, Andrew Curtis (Simon Fraser University (CA)) ; Greig, Graham George (Simon Fraser University (CA)) ; Hamersly, Derek August ; Hara, Kazuhiko (University of Tsukuba (JP)) ; Hill, Ewan Chin (University of Toronto (CA)) ; Hirose, Shigeki (University of Tsukuba (JP)) ; Hommels, Bart (University of Cambridge (GB)) ; Jones, Dominic (University of Cambridge (GB)) ; Klein, Christoph Thomas (Carleton University (CA)) ; Koffas, Thomas (Carleton University (CA)) ; Latonova, Vera (Czech Academy of Sciences (CZ)) ; Mikestikova, Marcela (Czech Academy of Sciences (CZ)) ; Nakamura, Koji (High Energy Accelerator Research Organization (JP)) ; Poley, Anne-Luise (Simon Fraser University (CA)) ; Orr, Robert (University of Toronto (CA)) ; Rousso, David (University of Cambridge (GB)) ; Stelzer, Bernd (SFU Simon Fraser University (CA)) ; Sykora, Martin (Charles University (CZ)) ; Ullan, Miguel (Consejo Superior de Investigaciones Cientificas (CSIC) (ES)) ; Unno, Yoshinobu (High Energy Accelerator Research Organization (JP)) |
Abstract
| The high-Luminosity LHC upgrade necessitates a complete replacement of the ATLAS Inner Detector with a larger all-silicon tracker. The strip portion of it covers 165 m$^2$ area, afforded by the strip sensors. Following several prototype iterations and a successful pre-production, a full-scale production started in 2021, to finish in 2025. It will include about 21,000 wafers and a factor of 5 higher throughput than pre-production, with about 500 sensors produced and tested per month. The transition to production stressed the need to evaluate the results from the Quality Control (QC) and Quality Assurance (QA) tests quickly to meet the monthly delivery schedule. The test data come from 15 collaborating institutes, therefore a highly distributed system with standardized interfaces was required. Specialized software layers of QA and QC Python code were developed against the backend of the ITk database (DB) for this purpose. The developments included particularities and special needs of the Strip Sensors community, such as the large variety of different test devices and test types, the necessary test formats, and different workflows at the test sites. Special attention was paid to techniques facilitating the development and user operations, for example creation of “parallel” sets of dummy DB objects for practice purposes, iterative verification of operability, and the automatic upload of test data. The scalability concerns and automation of the data handling were included in the system architecture from the very inception. The full suite of functionalities include data integrity checks, data processing to extract and evaluate key parameters, cross-test comparisons, and summary reporting for continuous monitoring. We will also describe the lessons learned and the necessary evolution of the system. |