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dc.contributor.authorMarais, D.
dc.contributor.authorVenter, A.M.
dc.contributor.authorMarkgraaff, J.
dc.contributor.authorJames, J.
dc.date.accessioned2017-02-28T07:11:40Z
dc.date.available2017-02-28T07:11:40Z
dc.date.issued2017
dc.identifier.citationMarais, D. et al. 2017. Sample positioning in neutron diffraction experiments using a multi-material fiducial marker. Nuclear instruments and methods in physics research A, 841:12-16. [https://doi.org/10.1016/j.nima.2016.10.020]en_US
dc.identifier.issn0168-9002
dc.identifier.urihttp://hdl.handle.net/10394/20592
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0168900216310452
dc.identifier.urihttps://doi.org/10.1016/j.nima.2016.10.020
dc.description.abstractAn alternative sample positioning method is reported for use in conjunction with sample positioning and experiment planning software systems deployed on some neutron diffraction strain scanners. In this approach, the spherical fiducial markers and location trackers used with optical metrology hardware are replaced with a specifically designed multi-material fiducial marker that requires one diffraction measurement. In a blind setting, the marker position can be determined within an accuracy of ±164 µm with respect to the instrument gauge volume. The scheme is based on a pre-determined relationship that links the diffracted peak intensity to the absolute positioning of the fiducial marker with respect to the instrument gauge volume. Two methods for establishing the linking relationship are presented, respectively based on fitting multi-dimensional quadratic functions and a cross-correlation artificial neural networken_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectNeutron diffractionen_US
dc.subjectStrain scanningen_US
dc.subjectSample positioningen_US
dc.subjectArtificial neural networken_US
dc.titleSample positioning in neutron diffraction experiments using a multi-material fiducial markeren_US
dc.typeArticleen_US
dc.contributor.researchID10056130 - Markgraaff, Johannes


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