DETECTION TECHNIQUES FOR IONIZING PARTICLES BASED ON SEMICONDUCTOR DEVICES
- Overview
- Assessment methods
- Learning objectives
- Contents
- Full programme
- Bibliography
- Teaching methods
- Contacts/Info
Fundamentals of interaction of radiation with matter. Basics of computer assisted data analysis. The knowledge of MATLAB will be an added value.
Students will summarize the activity and the results in a seminar, discussed with the team members and the class mates
In terms of knowledge, the main goal of the course is to get acquainted with state-of-the-art instruments and methods for the detection of nuclear radiation and single photons. As far as skills are concerned, the student is guided towards the capability to use advanced silicon detectors and set-up basic experiments.
Radiation detection underwent a tremendous development over the past 30 years, leading to the design, engineering, construction of the large apparata in use at particle physics labs like CERN and FERMIlab and, at the same time, to a wide use of nuclear based technologies in industry, health care and homeland security.
The course intend to provide the students a hands-on introduction to the main techniques and methods for X, gamma, alpha and beta detection.
The focus of the activity will be based on Silicon sensors, detecting either the ionization in a sensitive volume or photons emitted by scintillating materials (direct and indirect detection of nuclear particles). The main detectors in use will be monolithic pixels and Silicon Photomultipliers.
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Lecture notes and scientific papers.
Students will be introduced to the heart of the matter by a series of lectures and by preliminary hands-on exercises. At later stage, they will join the ongoing activities and be part of the daily experimental efforts. They will have a specific task defined and assigned, addressing the definition fo the problem, its specific relevance, the set-up design and commissioning, calibration and cross-check, experiment implementation, data analysis and reporting.
The course will be based on the specific pre-existing knowledge of the students and the ongoing activities in the Research lab.