Further characterisation of Digital Pixel Test Structures implemented in a 65 nm CMOS process
Year: 2025
Type: article
Abstract: The next generation of MAPS for future tracking detectors will have to meet stringent requirements placed on them. One such detector is the ALICE ITS3 that aims to be very light at 0.07 % X/X 0 per layer and have a low power consumption in the active area of 40 mW/cm 2 by implementing wafer-scale MAPS bent into cylindrical half layers. To address these challenging requirements, the ALICE ITS3 project, in conjunction with the CERN EP R&D on monolithic pixel sensors, proposed the Tower Partners Semiconductor Co. 65 nm CMOS process as the starting point for the sensor. After the initial results confirmed the detection efficiency and radiation hardness, the choice of the technology was solidified by demonstrating the feasibility of operating MAPS in low-power consumption regimes, < 50 m W / c m 2 , while maintaining high-quality performance. This was shown through a detailed characterisation of the Digital Pixel Test Structure (DPTS) prototype exposed to X-rays and ionising beams, and the results are presented in this article. Additionally, the sensor was further investigated through studies of the fake-hit rate, the linearity of the front-end in the range 1.7–28 keV, the performance after ionising irradiation, and the detection efficiency of inclined tracks in the range 0–45°.
Authors: Gianluca Aglieri Rinella, Nicole Apadula, Anton Andronic, Matias Antonelli, Mauro Aresti, Roberto Baccomi, Pascal Becht, Stefania Beole, Marcello Borri, Justus Braach, Matthew Daniel Buckland, Eric Buschmann, Paolo Camerini, Francesca Carnesecchi, Leonardo Cecconi, Edoardo Charbon, Giacomo Contin, Dominik Dannheim, Joao de Melo, Wenjing Deng, Antonello di Mauro, Jan Hasenbichler, Hartmut Hillemanns, Geun Hee Hong, Artem Isakov, Hangil Jang, Antoine Junique, Minjung Kim, Alex Kluge, Artem Kotliarov, Filip Křížek, Lukas Lautner, Sanghoon Lim, Magnus Mager, Davide Marras, Paolo Martinengo, Silvia Masciocchi, Marius Wilm Menzel, Magdalena Munker, Francesco Piro, Alexandre Rachevski, Karoliina Rebane, Felix Reidt, Roberto Russo, Isabella Sanna, Valerio Sarritzu, Serhiy Senyukov, Walter Snoeys, Jory Sonneveld, Miljenko Šuljić, Peter Svihra, Nicolas Tiltmann, Vittorio Di Trapani, Gianluca Usai, Jacob Bastiaan Van Beelen, Mirella Dimitrova Vassilev, Caterina Vernieri, Anna Villani
Institutions: European Organization for Nuclear Research, Lawrence Berkeley National Laboratory, University of Münster, Istituto Nazionale di Fisica Nucleare, Istituto Nazionale di Fisica Nucleare, Sezione di Trieste, University of Cagliari, Istituto Nazionale di Fisica Nucleare, Sezione di Cagliari, Heidelberg University, Istituto Nazionale di Fisica Nucleare, Sezione di Torino, University of Turin, Daresbury Laboratory, Universität Hamburg, University of Trieste, École Polytechnique Fédérale de Lausanne, Central China Normal University, Institut Pluridisciplinaire Hubert Curien
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,620
Funders: Helmholtz-Gemeinschaft, Ministerstvo Školství, Mládeže a Tělovýchovy, Bundesministerium für Bildung und Forschung, National Science and Technology Development Agency, Suranaree University of Technology, Helmholtz Association, Science and Technology Facilities Council, Deutsches Elektronen-Synchrotron, National Key Research and Development Program of China
Awards: EIC Detector R&D, G3136527776, G6229868621, Verbundprojekt 05H2021 - R&D DETEKTOREN (High-D): CURVED (CMOS pixels sensors for Ultra-light, high-Resolution VErtex Detectors): Entwicklung von Pixel-Sensoren in CMOS-65nm-Technologie, G866505619, Durchführung des deutschen Doktoranden Programms (Wolfgang Gentner Stipendien) bei CERN, sowie Maßnahmen zur wissenschaftlichen und administrativen Betreuung und Bekanntmachung auf Basis der Vereinbarung zwischen BMBF, CERN und DESY 2011 und gemäß der Vereinbarung zur Verlängerung 2017., G9000172739
OpenAlex ID: W4414984089
