The mission of the INFN-Cultural Heritage Network: the multifaceted example of the Macro-XRF scanner experience

Abstract

The mission of the Cultural Heritage Network of the Italian Institute of Nuclear Physics (INFN-CHNet) is presented here through a “virtuous” example: the activity related to the Macro-X-Ray Fluorescence (MA-XRF) scanner. The main focus of INFN-CHNet is the collaboration and sharing of knowledge among the network members, to better address the issues of Cultural Heritage operators, while the fields of activity are research (instrumental development and data management), analysis of cultural objects, education of young scholars and professionals, and dissemination to the general public. In this context, the MA-XRF scanner exemplifies the objectives of INFN-CHNet, being the first instrument developed, tested and optimised jointly by several INFN-CHNet partners. It was designed to be an open (free access to information on processes, components and materials), low-cost system, based on sustainability and interoperability, and modular. All these features allow for easy replication of instruments in any node of the network or reuse of system/subsystem also in different projects. Moreover, for the MA-XRF scanner, the whole path from data acquisition to their storage, management and visualisation/reuse has been addressed. The activities related to the scanner clearly demonstrate the effectiveness of the approach of CHNet in all the issues that arise in conservation and study of CH.

Datacube segmentation via deep spectral clustering

“…We now perform the same check done in section 3.2.2, but with UMAP as a dimensional reduction algorithm. A similar approach was hinted in [24], but not described in depth.…”

“…In the field of nuclear physics applied to cultural heritage (for a nice introduction to the subject, see, e.g. [17][18][19][20][21][22][23][24] and references therein), deep learning can be used to analyze data from non-destructive testing techniques, such as neutron imaging or gamma-ray spectroscopy. For example, it can help identify the composition of ancient artifacts or detect hidden structures in historical buildings, providing valuable insights without damaging these precious objects.…”