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000452175 1001_ $$aVamvakeros, A.$$b0
000452175 245__ $$aDLSR: a solution to the parallax artefact in X-ray diffraction computed tomography data
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000452175 520__ $$aA new tomographic reconstruction algorithm is presented, termed direct least-squares reconstruction (DLSR), which solves the well known parallax problem in X-ray-scattering-based experiments. The parallax artefact arises from relatively large samples where X-rays, scattered from a scattering angle 2θ, arrive at multiple detector elements. This phenomenon leads to loss of physico-chemical information associated with diffraction peak shape and position (i.e. altering the calculated crystallite size and lattice parameter values, respectively) and is currently the major barrier to investigating samples and devices at the centimetre level (scale-up problem). The accuracy of the DLSR algorithm has been tested against simulated and experimental X-ray diffraction computed tomography data using the TOPAS software.
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000452175 7001_ $$0P:(DE-H253)PIP1009534$$aCoelho, A. A.$$b1
000452175 7001_ $$00000-0001-6102-6405$$aMatras, D.$$b2
000452175 7001_ $$0P:(DE-H253)PIP1026973$$aDong, H.$$b3
000452175 7001_ $$aOdarchenko, Y.$$b4
000452175 7001_ $$0P:(DE-HGF)0$$aPrice, S. W. T.$$b5
000452175 7001_ $$0P:(DE-HGF)0$$aButler, K. T.$$b6
000452175 7001_ $$0P:(DE-H253)PIP1007064$$aGutowski, O.$$b7
000452175 7001_ $$0P:(DE-H253)PIP1010723$$aDippel, A.-C.$$b8
000452175 7001_ $$0P:(DE-H253)PIP1001164$$avon Zimmermann, Martin$$b9
000452175 7001_ $$0P:(DE-H253)PIP1086039$$aMartens, Isaac$$b10
000452175 7001_ $$0P:(DE-H253)PIP1085939$$aDrnec, Jakub$$b11
000452175 7001_ $$0P:(DE-HGF)0$$aBeale, A. M.$$b12$$eCorresponding author
000452175 7001_ $$0P:(DE-HGF)0$$aJacques, S. D. M.$$b13$$eCorresponding author
000452175 773__ $$0PERI:(DE-600)2020879-0$$a10.1107/S1600576720013576$$gVol. 53, no. 6$$n6$$p11$$tJournal of applied crystallography$$v53$$x1600-5767$$y2020
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