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Monte Carlo Simulations of ED-XRF Spectra as an Authentication Tool for Nuragic Bronzes

Monte Carlo Simulations of ED-XRF Spectra as an Authentication Tool for Nuragic Bronzes
The high artistic and cultural relevance of particular objects, in this case from the Nuragic civilization, have stimulated the growth of a forgery industry, replicating small bronze boats (navicelle), statues (bronzetti), and other objects. It is often the case where the forgeries are of such quality that it becomes difficult to distinguish them from authentic artifacts without a proper chemical analysis. In this research, a Monte Carlo simulation algorithm for X-ray interactions with matter is used to obtain the chemical composition from the bulk of each object from a set of five. The method employed has the advantage of being completely nondestructive and relatively fast. The objects’ chemical composition and morphology were compared with the data available from authentic artifacts so their authenticity could be inferred. Four of the five objects are likely to be authentic, where two of them could be associated with a Sardinian origin.
Microsoft Academic Graph classification: Computer science Monte Carlo method engineering.material Spectral line Set (abstract data type) Bronze business.industry Pattern recognition Object (philosophy) Authentication (law) engineering Artificial intelligence business
Archeology, Materials Science (miscellaneous), X-ray fluorescence, Conservation, Monte Carlo simulations, nuragic; bronzes, Archaeology, nuragic, authentication, bronzes, X-ray fluorescence; Monte Carlo simulations; nuragic; bronzes; authentication, CC1-960
Archeology, Materials Science (miscellaneous), X-ray fluorescence, Conservation, Monte Carlo simulations, nuragic; bronzes, Archaeology, nuragic, authentication, bronzes, X-ray fluorescence; Monte Carlo simulations; nuragic; bronzes; authentication, CC1-960
Microsoft Academic Graph classification: Computer science Monte Carlo method engineering.material Spectral line Set (abstract data type) Bronze business.industry Pattern recognition Object (philosophy) Authentication (law) engineering Artificial intelligence business
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average visibility views 20 download downloads 29 citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average Powered byBIP!
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- Funder: European Commission (EC)
- Project Code: 766311
- Funding stream: H2020 | MSCA-ITN-EJD
The high artistic and cultural relevance of particular objects, in this case from the Nuragic civilization, have stimulated the growth of a forgery industry, replicating small bronze boats (navicelle), statues (bronzetti), and other objects. It is often the case where the forgeries are of such quality that it becomes difficult to distinguish them from authentic artifacts without a proper chemical analysis. In this research, a Monte Carlo simulation algorithm for X-ray interactions with matter is used to obtain the chemical composition from the bulk of each object from a set of five. The method employed has the advantage of being completely nondestructive and relatively fast. The objects’ chemical composition and morphology were compared with the data available from authentic artifacts so their authenticity could be inferred. Four of the five objects are likely to be authentic, where two of them could be associated with a Sardinian origin.