Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/350970
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Test and extraction methods for the QC parameters of silicon strip sensors for ATLAS upgrade tracker |
Autor: | Rousso, D.; Jones, D. M.; Federicova, P.; Hommels, B.; Affolder, A.; Affolder, K.; Allport, P. P.; Bernabeu, J.; Dowling, A.; Fadeyev, V.; Fernandez-Tejero, J.; Fournier, A.; George, W.; Gignac, M.; Gonella, L.; Gunnell, J.; Hara, K.; Hirose, S.; Ishii, T.; Johnson, J.; Kachiguin, S.; Kang, N.; Kopsalis, I.; Kroll, J.; Kvasnicka, J.; Lacasta, C.; Latonova, V.; Martinez-Mckinney, F.; Mikestikova, M.; Nakamura, K.; Saito, K.; Solaz, C.; Soldevila, U.; Ullán Comes, Miguel ; Unno, Y.; Yarwick, J. | Palabras clave: | ATLAS ITk | HL-LHC | Quality control testing | Silicon micro-strip sensor | Fecha de publicación: | 1-ene-2023 | Editor: | Elsevier | Citación: | Nuclear Instruments and Methods in Physics Research - Section A | Resumen: | The Quality Control (QC) of pre-production strip sensors for the Inner Tracker (ITk) of the ATLAS Inner Detector upgrade has finished, and the collaboration has embarked on the QC test programme for production sensors. This programme will last more than 3 years and comprises the evaluation of approximately 22000 sensors. 8 Types of sensors, 2 barrel and 6 endcap, will be measured at many different collaborating institutes. The sustained throughput requirement of the combined QC processes is around 500 sensors per month in total. Measurement protocols have been established and acceptance criteria have been defined in accordance with the terms agreed with the supplier. For effective monitoring of test results, common data file formats have been agreed upon across the collaboration. To enable evaluation of test results produced by many different test setups at the various collaboration institutes, common algorithms have been developed to collate, evaluate, plot and upload measurement data. This allows for objective application of pass/fail criteria and compilation of corresponding yield data. These scripts have been used to process the data of more than 3000 sensors so far, and have been instrumental for identification of faulty sensors and monitoring of QC testing progress. | Versión del editor: | https://www.sciencedirect.com/science/article/pii/S0168900222009007 | URI: | http://hdl.handle.net/10261/350970 | DOI: | 10.1016/j.nima.2022.167608 | ISSN: | 01689002 |
Aparece en las colecciones: | (IMB-CNM) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
1-s2.0-S0168900222009007-main.pdf | Artículo principal | 582,66 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
1
checked on 21-abr-2024
Page view(s)
6
checked on 27-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
Este item está licenciado bajo una Licencia Creative Commons