@Article{Bach_etal2024,
author="Bach, E. et al
and Bernabeu, J.
and Lacasta, C.
and Solaz, C.
and Soldevila, U.",
title="Analysis of the quality assurance results from the initial part of production of the ATLAS18 ITK strip sensors",
journal="Nuclear Instruments {\&} Methods in Physics Research A",
year="2024",
publisher="Elsevier",
volume="1064",
pages="169435--8pp",
optkeywords="Silicon strip sensors; Parameter analysis",
abstract="The production of strip sensors for the ATLAS Inner Tracker (ITk) started in 2021. Since then, a Quality Assurance (QA) program has been carried out continuously, by using specific test structures, in parallel to the Quality Control (QC) inspection of the sensors. The QA program consists of monitoring sensor-specific characteristics and the technological process variability, before and after the irradiation with gammas, neutrons, and protons. After two years, half of the full production volume has been reached and we present an analysis of the parameters measured as part of the QA process. The main devices used for QA purposes are miniature strip sensors, monitor diodes, and the ATLAS test chip, which contains several test structures. Such devices are tested by several sites across the collaboration depending on the type of samples (non-irradiated components or irradiated with protons, neutrons, or gammas). The parameters extracted from the tests are then uploaded to a database and analyzed by Python scripts. These parameters are mainly examined through histograms and timeevolution plots to obtain parameter distributions, production trends, and meaningful parameter-to-parameter correlations. The purpose of this analysis is to identify possible deviations in the fabrication or the sensor quality, changes in the behavior of the test equipment at different test sites, or possible variability in the irradiation processes. The conclusions extracted from the QA program have allowed test optimization, establishment of control limits for the parameters, and a better understanding of device properties and fabrication trends. In addition, any abnormal results prompt immediate feedback to a vendor.",
optnote="WOS:001252172700001",
optnote="exported from refbase (https://references.ific.uv.es/refbase/show.php?record=6163), last updated on Mon, 01 Jul 2024 12:34:24 +0000",
issn="0168-9002",
doi="10.1016/j.nima.2024.169435",
opturl="https://doi.org/10.1016/j.nima.2024.169435",
language="English"
}