Ancient metallurgy is crucial for understanding the artistic and technological evolution of past civilisations. Neutron-based techniques offer a noninvasive approach to determine alloy and phase composition of ancient artefacts. The work presented here is part of the INFN CHNet BRONZE project, aiming to quantitatively calibrate neutron techniques for the analysis of Cu-based archaeological items. It focuses on the preliminary wavelength calibration of the measurements carried out with the Bragg-Edge Neutron Transmission (BENT) technique, a noninvasive method that reveals composition, texture and microstructure of materials over large areas of the samples, exploiting 2D imaging detectors.
Preliminary evaluation of calibration method on Double Crystal Monochromator and Time-of-Flight Bragg Edge Neutron Transmission analysis / Marabotto M.; Re A.; Guidorzi L.; Lo Giudice A.; Grassini S.; Grazzi F.; Cantini F.; Giuntini L.; Marcucci G.; Scherillo A.; Ramadhan R.; Busi M.; Larsen C.B.; Samothrakitis S.; Di Martino D.. - In: IL NUOVO CIMENTO C. - ISSN 2037-4909. - ELETTRONICO. - 48:(2025), pp. 242.0-242.0. [10.1393/ncc/i2025-25242-7]
Preliminary evaluation of calibration method on Double Crystal Monochromator and Time-of-Flight Bragg Edge Neutron Transmission analysis
Re A.;Lo Giudice A.;Grazzi F.;Cantini F.Membro del Collaboration Group
;Giuntini L.Membro del Collaboration Group
;
2025
Abstract
Ancient metallurgy is crucial for understanding the artistic and technological evolution of past civilisations. Neutron-based techniques offer a noninvasive approach to determine alloy and phase composition of ancient artefacts. The work presented here is part of the INFN CHNet BRONZE project, aiming to quantitatively calibrate neutron techniques for the analysis of Cu-based archaeological items. It focuses on the preliminary wavelength calibration of the measurements carried out with the Bragg-Edge Neutron Transmission (BENT) technique, a noninvasive method that reveals composition, texture and microstructure of materials over large areas of the samples, exploiting 2D imaging detectors.
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