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. 2020 Jul 29;10:12759. doi: 10.1038/s41598-020-69371-7

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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(a) Simulated input (blue circles) and reconstructed (black curve) WAXTS data for an anisotropic microstrained Fe₅Te₄ sample. The inversion was performed by letting the algorithm to sum the contributions of three phases (no strain, isotropic and anisotropic strain) plus a background profile. The noise added to the data was generated according to a Poissonian distribution; (b) Simulated (black curves) and mass distributions of the three phases recovered by inverting the WAXTS data of (a). For improving visibility, the no strain and isotropic strain curves have been amplified by a factor 10; (c) relative residuals between reconstructed and input data.