An Introduction to Ultra-Fast Silicon Detectors
The book describes the development of innovative silicon sensors known as ultra-fast silicon detectors for use in the space-time tracking of charge particles. The first comprehensive collection of information on the topic, otherwise currently scattered in existing literature, this book presents a comprehensive introduction to the development of ultra-fast silicon detectors with the latest technology and applications from the field. It will be an ideal reference for graduate and postgraduates studying high energy and particle physics and engineering, in addition to researchers in the area.
- Authored by a team of subject area specialists, whose research group first invented ultra-fast silicon detectors
- The first book on the topic to explain the details of the design of silicon sensors for 4-dimensional tracking
- Presents state-of-the-art results, and prospects for further performance evolutions
The Open Access version of this book, available at www.taylorfrancis.com/books/oa-mono/10.1201/9781003131946/, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Cover image credit goes to Marta Tornago
Table of Contents
Chapter 1. Operating Principles of a Silicon Sensors.
Chapter 2. Ultra Fast Silicon Detectors.
Chapter 3. Numerical Modeling and Simulation.
Chapter 4. Experimental Techniques.
Chapter 5. Characterization of UFSDs.
Chapter 6. Characterization of Irradiated UFSDs.
Chapter 7. Sensors for Extreme Fluences
Nicolò Cartiglia is Senior Research Scientist at the Istituto Nazionale di Fisica Nucleare, Italy, and a Visiting Research Scientist, University of California, USA. He has been working at the forefront of experimental high-energy physics since his PhD degree; specifically, focused on detector design, construction and commissioning. He has been member of several large collaborations, based both in Europe and US. He is the principal investigator of several prestigious grants such as a joint US-Italy bilateral grant, an ERC-advanced, and an Italian PRIN.
Marco Mandurrino is a Postdoctoral Researcher at the Istituto Nazionale di Fisica Nucleare (INFN) in Turin, Italy. He joined INFN after his PhD in Electronic Devices as a specialist in silicon particle detector design and modeling. Member of national and international collaborations involved in the R&D of radiation detectors for high-energy physics experiments, from 2018 to 2020 he headed the RSD project, which focused on the development of silicon trackers. He is also lecturer of courses and seminars on numerical simulation of silicon detectors at the Turin University.
Marco Ferrero is a Postdoctoral Researcher at the Università del Piemonte Orientale in Novara, Italy. Member of national and international collaborations involved in the radiation hard semiconductor devices design for high energy physics experiments since 2014. He has been working on ultra-fast silicon detector technology since 2014, which has been the topic of his PhD degree; He is also lecturer of seminars on ultra-fast silicon detectors.
Valentina Sola is a Postdoctoral Researcher at the Istituto Nazionale di Fisica Nucleare, Italy. She is an experimental physicist working in the field of high-energy particle physics. She has worked at the HERA ep collider at DESY, and she is a member of the CMS Collaboration at the Large Hadron Collider. She is involved in the R&D of innovative silicon sensors and the design and construction of the MIP Timing Detector for the CMS Experiment. She is the principal investigator of an INFN project for young researchers to design and develop silicon sensors for extreme fluences.
Roberta Arcidiacono is Professor at the Università del Piemonte Orientale, Italy, working as an experimental physicist in the field of high-energy particle physics. Member of international collaborations such as NA48, NA62 and CMS (CERN), her work focuses on the design and commissioning of detectors for high energy physics experiments. From 2014 she works on novel silicon sensors development, supported by an ERC–advanced and an Italian grant.