https://doi.org/10.1140/epjc/s10052-023-11624-6
Special Article - Tools for Experiment and Theory
A high-resolution pixel silicon Vertex Detector for open charm measurements with the NA61/SHINE spectrometer at the CERN SPS
1
University of Warsaw, Warsaw, Poland
2
Jagiellonian University in Krakow, Krakow, Poland
3
AGH University of Science and Technology, Krakow, Poland
4
Warsaw University of Technology, Warsaw, Poland
5
Goethe University Frankfurt, Frankfurt, Germany
6
Eidgenössische Technische Hochschule Zürich, Zürich, Switzerland
7
St. Petersburg State University, St. Petersburg, Russia
8
Jan Kochanowski University, Kielce, Poland
9
European Organization for Nuclear Research (CERN), Geneva, Switzerland
10
University and INFN Trieste, Trieste, Italy
11
University of Applied Sciences in Tarnow, Tarnow, Poland
12
GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
z
pawel_piotr.staszel@uj.edu.pl
Received:
9
February
2023
Accepted:
14
May
2023
Published online:
6
June
2023
The study of open charm meson production provides an efficient tool for the investigation of the properties of hot and dense matter formed in nucleus–nucleus collisions. The interpretation of the existing di-muon data from the CERN SPS suffers from a lack of knowledge on the mechanism and properties of the open charm particle production. Due to this, the heavy-ion programme of the NA61/SHINE experiment at the CERN SPS has been extended by precise measurements of charm hadrons with short lifetimes. A new Vertex Detector for measurements of the rare processes of open charm production in nucleus–nucleus collisions was designed to meet the challenges of track registration and high resolution in primary and secondary vertex reconstruction. A small-acceptance version of the vertex detector was installed in 2016 and tested with Pb + Pb collisions at 150. It was also operating during the physics data taking on Xe + La and Pb + Pb collisions at 150 conducted in 2017 and 2018. This paper presents the detector design and construction, data calibration, event reconstruction, and analysis procedure.
© The Author(s) 2023
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Funded by SCOAP3. SCOAP3 supports the goals of the International Year of Basic Sciences for Sustainable Development.