Joint negative muon data analysis and Monte Carlo simulation methods for the characterization of thin layers

Cataldo, M. and Hillier, A. D. and Ishida, K. and Grazzi, F. (2023) Joint negative muon data analysis and Monte Carlo simulation methods for the characterization of thin layers. Il nuovo cimento C, 46 (5). pp. 1-4. ISSN 1826-9885

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Abstract

Musoni c atom X-ray Emission Spectroscopy (μXES) is a novel tech- nique in the broad field of non-destructive methods for cultural heritage analysis. It relies on the interaction of a probe of negative muons with matter and following emission of X-ray radiation. Since the muon mass is about 207 times bigger than the electron, these emitted X-rays are highly energetic and are characteristic of the emitting atom, making it possible to cover a wide part of the periodic table (from lithium to uranium). The multi-elemental range, a negligible self-absorption of the X-rays and very low residual activity left in the sample after irradiation make μXES a very powerful probe for material characterization. In addition, by coupling the data analysis with Monte Carlo simulation methods, it is possible to asses the depth of the layers that are present in a given sample. In this work, preliminary results of the analysis on two gilded surfaces are reported.

Item Type: Article
Subjects: 500 Scienze naturali e Matematica > 530 Fisica
Depositing User: Marina Spanti
Date Deposited: 08 Mar 2024 13:56
Last Modified: 08 Mar 2024 13:56
URI: http://eprints.bice.rm.cnr.it/id/eprint/22729

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