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Physics for the Environment and Cultural Heritage

Research in physics for the environment and cultural heritage is primarily conducted in Florence at the Nuclear Techniques Laboratory for the Environment and Cultural Heritage (LABEC). Using techniques that involve ion beams produced by the accelerator located in the Experimental Physics building, atmospheric particulate samples are studied from both urban and industrial areas as well as from polar and remote regions. Similar techniques are also used for the analysis and dating of artifacts and finds of historical and cultural interest.

 

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.

Core Courses:

Environmental Physics°

Atmospheric Physics

Elements of Material Physics

Nuclear and Subnuclear Physics

Ionizing Radiation Detectors

Two laboratories to choose from:

Electronics Laboratory

Nuclear Physics Laboratory

Laboratory of Physics for Cultural Heritage°°

 

Notes:

° alternatively, for those more interested in Cultural Heritage, the Colorimetry course is recommended (if both are desired, one of the two courses can be selected as an elective).

°° from the Bachelor's Degree in Diagnostics and Materials for Conservation and Restoration.

 

Additional recommended supplementary and elective courses:

Data analysis in subnuclear physics

Data acquisition systems

Applied Physics for the Environment and Cultural Heritage*

Ion Beam Analysis techniques

Physical Methodologies for Cultural Heritage**

Advanced Optical and Nuclear Techniques with Applications**

Data Science for image analysis in astronomy and medical physics***

Multivariate analysis and statistical learning****

 

Notes:

* if not already selected during the undergraduate program

** from the Bachelor's Degree in Diagnostics and Materials for Conservation and Restoration

*** from the Master's Degree in Data Science, Scientific Computing & Artificial Intelligence

**** from the Master's Degree in Statistics and Data Science

 

Contacts: Franco Lucarelli, franco.lucarelli@unifi.it, Silvia Nava, silvia.nava@unifi.it

 

For further information on this track and the research areas related to physics applied to the environment and cultural heritage (including thesis requests), you can refer to the contacts and also to the following web pages:

https://web.infn.it/labec/

 

 

 

 

 

 

 

Last
update

03.03.2025

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