Produktinformationen zu „CMOS (PDF)“
This book offers a comprehensive introduction to the practical design and implementation of integrated front-end electronics for radiation detectors, providing specialized knowledge previously obtained only through the study of multiple technical and scientific papers. Including numerical examples where appropriate, the text covers the fundamental principles of signal processing for radiation detectors, discusses the relevant analog building blocks used in the front-end electronics, employs systematically weak and moderate inversion regimes in circuit analysis, and makes complex topics such as noise and circuit-weighting functions more accessible.
Autoren-Porträt von Angelo Rivetti
Angelo Rivetti received a degree in physics from the University of Torino, Italy, and a Ph.D in electrical engineering from the Politecnico di Torino, Italy. From 1998 to 2000, he worked at the Conseil Européen pour la Recherche Nucléaire (CERN), Meyrin, Switzerland on the implementation of radiation tolerant integrated circuits in commercial deep submicron complementary metal-oxide-semiconductor (CMOS) technologies. From 2000 to 2001, he was an assistant professor with the faculty of physics at the University of Torino. In December 2001, he joined the Istituto Nazionale di Fisica Nucleare (INFN), Torino, Italy, where he developed very-large-scale integration (VLSI) front-end circuits now in use in the A Large Ion Collider Experiment (ALICE) and Common Muon and Proton Apparatus for Structure and Spectroscopy (COMPASS) experiments at CERN. He is currently a senior member of the research and technology staff at INFN. His research interests are in the design of mixed signal front-end electronics for hybrid and monolithic radiation detectors employed in high energy physics, medical imaging, and industrial applications.
Bibliographische Angaben
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Autor:
Angelo Rivetti
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2018, 726 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1466563117
- ISBN-13: 9781466563117
- Erscheinungsdatum: 03.09.2018
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Dateiformat: PDF
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Größe: 26 MB
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