Corso di Laurea Magistrale in
Scienze Fisiche e Astrofisiche
Muonic Radiography
The muon radiography of large volumes is an imaging technique that uses atmospheric muons as a source to obtain tomographic images of large volumes, such as volcanic cones, underground cavities, or architectural structures, through appropriate measurements of absorption and scattering. Florence is a leading center in this field, conducting research both in the development of detectors and in the development of image reconstruction techniques.
This track is naturally part of the Applied Physics curriculum, and the rules for composing the study plan should follow those. Below are recommendations for the choice of core, supplementary/integrative, and elective courses for this track.
The muon radiography of large volumes is an imaging technique that uses atmospheric muons as a source to obtain tomographic images of large volumes, such as volcanic cones, underground cavities, or architectural structures, through appropriate measurements of absorption and scattering. Florence is a leading center in this field, conducting research both in the development of detectors and in the development of image reconstruction techniques.
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Core Courses: Cosmic Rays Teaching of Physics Atmospheric Physics Elements of Material Physics Ionizing Radiation Detectors Two laboratories to choose from: Electronics Laboratory Nuclear Physics Laboratory Subnuclear Physics Laboratory
It is also recommended to take the Nuclear and Subnuclear Physics course, which, having already selected three other courses from the same core group, may only be included as an elective course.
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Additional recommended supplementary and elective courses:
Data analysis in subnuclear physics Data acquisition systems Experimental methods in nuclear physics Experimental methods in particle physics Elementary particles and applications*
Note: * if not already selected during the undergraduate program
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Contacts: Lorenzo Bonechi, lorenzo.bonechi@fi.infn.it, Raffaello D'Alessandro, raffaello.dalessandro@unifi.it
Last
update
03.03.2025