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CMOS Sensors for Tracking Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: closed (20 October 2022) | Viewed by 4675

Special Issue Editors


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Guest Editor
Department of Engineering, University of Perugia, 06123 Perugia, Italy
Interests: physical modeling and numerical analysis of semiconductor devices; VLSI design and characterization of radiation detectors based on active pixel sensors integrated in CMOS sub-micrometer technology and CMOS vertical scale (3D) technology; TCAD numerical modeling of radiation damage effects in semiconductors

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Guest Editor
Department of Engineering, University of Perugia, 06123 Perugia, Italy
Interests: electronic systems and integrated electronic circuits to control and reading of sensors for high energy physics experiments; design and characterization of radiation detectors based on active pixel sensors integrated in CMOS sub-micrometer technology and CMOS vertical scale (3D); smart sensors; programmable systems; modeling of electrical and thermal systems; SoC for IoT applications

Special Issue Information

Dear Colleagues,

In recent years, CMOS sensor applications have grown at a remarkable rate due to the integration at the sensor level of advanced functionalities (e.g., A/D conversion and data processing, both at pixel and/or system level) enabled by the progress of CMOS nanoelectronic fabrication technology. In addition to imaging applications, new perspectives in several research areas could be opened up by such a class of devices if they could be used with or without significant changes to the production process—for example, position measuring devices for ionizing radiation with sub-micrometer intrinsic accuracy, using either analog or digital readout modes or advanced devices combining timing and spatial information (4D detectors) for tracking purposes. Radiation damage effects in tracking applications can be efficiently addressed as well using fabrication options and design techniques enabled by advances in CMOS sensor technology.

CMOS monolithic active pixel sensors (MAPS) have been proposed as an efficient solution combining sensing and processing at a pixel level, while the three-dimensional vertical scale integration of detectors allows fabricating advanced sensors with separated layers for detection and processing, respectively. The hybrid approach (sensor and CMOS custom read-out ASIC) performing high granularity pixel read-out are still at the cutting edge of tracking technology, profiting from the continuous advances of CMOS technology. This fosters advanced and innovative applications in different scenarios such as, but not limited to, high energy physics tracking, medical interventional radiology, and space applications.

This Special Issue will focus on recent advances and developments in CMOS sensor technology and applications for tracking purposes. Topics will include but are not limited to,

  • CMOS sensor technologies: process, circuit, architecture;
  • Radiation damage effects in CMOS sensors;
  • Hybrid CMOS pixel sensors;
  • Monolithic active pixel sensor (MAPS);
  • CMOS 3D vertical-scale sensor;
  • CMOS read-out electronics for tracking;
  • Radiation tolerant read-out electronics;
  • CMOS sensors for emerging applications: e.g., X-rays detection, electron microscopy, neutron detection, micro-electrode arrays for biomedical analyses, etc.

Dr. Daniele Passeri
Dr. Pisana Placidi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CMOS sensor process
  • circuit and architecture
  • hybrid CMOS pixel sensors
  • monolithic active pixel sensors
  • CMOS 3D vertical-scale sensors
  • CMOS read-out electronics for tracking
  • radiation damage effects

Published Papers (2 papers)

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26 pages, 13611 KiB  
Article
DECAL: A Reconfigurable Monolithic Active Pixel Sensor for Tracking and Calorimetry in a 180 nm Image Sensor Process
by Philip Patrick Allport, Seddik Benhammadi, Robert Ross Bosley, Jens Dopke, Lucian Fasselt, Samuel Flynn, Laura Gonella, Nicola Guerrini, Cigdem Issever, Kostas Nikolopoulos, Ioannis Kopsalis, Peter Philips, Tony Price, Iain Sedgwick, Giulio Villani, Matt Warren, Nigel Watson, Hannsjorg Weber, Alasdair Winter, Fergus Wilson, Steven Worm and Zhige Zhangadd Show full author list remove Hide full author list
Sensors 2022, 22(18), 6848; https://0-doi-org.brum.beds.ac.uk/10.3390/s22186848 - 10 Sep 2022
Cited by 1 | Viewed by 1902
Abstract
In this paper, we describe DECAL, a prototype Monolithic Active Pixel Sensor (MAPS) device designed to demonstrate the feasibility of both digital calorimetry and reconfigurability in ASICs for particle physics. The goal of this architecture is to help reduce the development and manufacturing [...] Read more.
In this paper, we describe DECAL, a prototype Monolithic Active Pixel Sensor (MAPS) device designed to demonstrate the feasibility of both digital calorimetry and reconfigurability in ASICs for particle physics. The goal of this architecture is to help reduce the development and manufacturing costs of detectors for future colliders by developing a chip that can operate both as a digital silicon calorimeter and a tracking chip. The prototype sensor consists of a matrix of 64 × 64 55 μm pixels, and provides a readout at 40 MHz of the number of particles which have struck the matrix in the preceding 25 ns. It can be configured to report this as a total sum across the sensor (equivalent to the pad of an analogue calorimeter) or the sum per column (equivalent to a traditional strip detector). The design and operation of the sensor are described, and the results of chip characterisation are reported and compared to simulations. Full article
(This article belongs to the Special Issue CMOS Sensors for Tracking Applications)
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9 pages, 3642 KiB  
Perspective
Hough Transform Proposal and Simulations for Particle Track Recognition for LHC Phase-II Upgrade
by Alessandro Gabrielli, Fabrizio Alfonsi and Francesca Del Corso
Sensors 2022, 22(5), 1768; https://0-doi-org.brum.beds.ac.uk/10.3390/s22051768 - 24 Feb 2022
Cited by 1 | Viewed by 1726
Abstract
In the near future, LHC experiments will continue future upgrades by overcoming the technological obsolescence of the detectors and the readout capabilities. Therefore, after the conclusion of a data collection period, CERN will have to face a long shutdown to improve overall performance, [...] Read more.
In the near future, LHC experiments will continue future upgrades by overcoming the technological obsolescence of the detectors and the readout capabilities. Therefore, after the conclusion of a data collection period, CERN will have to face a long shutdown to improve overall performance, by updating the experiments, and implementing more advanced technologies and infrastructures. In particular, the largest LHC experiment, i.e., ATLAS, will upgrade parts of the detector, the trigger, and the data acquisition system. In addition, the ATLAS experiment will complete the implementation of new strategies, algorithms for data handling, and transmission to the final storage apparatus. This paper presents an overview of an upgrade planned for the second half of this decade for the ATLAS experiment. In particular, we show a study of a novel pattern recognition algorithm used in the trigger system, which is a device designed to provide the information needed to select physical events from unnecessary background data. The idea is to use a well known mathematical transform, the Hough transform, as the algorithm for the detection of particle trajectories. The effectiveness of the algorithm has already been validated in the past, regardless of particle physics applications, to recognize generic shapes within images. On the contrary, here, we first propose a software emulation tool, and a subsequent hardware implementation of the Hough transform, for particle physics applications. Until now, the Hough transform has never been implemented on electronics in particle physics experiments, and since a hardware implementation would provide benefits in terms of overall Latency, we complete the studies by comparing the simulated data with a physical system implemented on a Xilinx hardware accelerator (FELIX-II card). In more detail, we have implemented a low-abstraction RTL design of the Hough transform on Xilinx UltraScale+ FPGAs as target devices for filtering applications. Full article
(This article belongs to the Special Issue CMOS Sensors for Tracking Applications)
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