June 7, 2022 Dataset Open Access

Zhdanov, Maksim; Ganeva, Marina; Randolph, Lisa; Kluge, Thomas; Hoffmann, Nico

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  <dc:creator>Zhdanov, Maksim</dc:creator>
  <dc:creator>Ganeva, Marina</dc:creator>
  <dc:creator>Randolph, Lisa</dc:creator>
  <dc:creator>Kluge, Thomas</dc:creator>
  <dc:creator>Hoffmann, Nico</dc:creator>
  <dc:date>2022-06-07</dc:date>
  <dc:description>The dataset consists of 50000 X-ray diffraction patterns simulated by BornAgain [1] software. For each simulation, a multilayer sample model of the following structure was used: air, tantalum oxide, silicon dioxide, and substrate. Parameters of each layer but tantalum oxide were kept fixed. Hence, each diffraction pattern depends on the parameters of the tantalum oxide layer: real and complex part of refractive index, thickness, roughness, Hurst parameter, and correlation length. Each simulation output is stored in an h5py file consisting of 1) diffraction image as a NumPy array of shape [1024, 512]; 2) sample parameters as a NumPy array with 6 elements. For further details regarding simulation, see https://github.com/maxxxzdn/gisaxs-reconstruction/simulation/simulation.

[1] Pospelov, G., Van Herck, W., Burle, J., Carmona Loaiza, J.M., Durniak, C., Fisher, J., Ganeva, M., Yurov, D., &amp; Wuttke, J. (2020). BornAgain: software for simulating and fitting grazing-incidence small-angle scattering. Journal of Applied Crystallography, 53, 262 - 276.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/1687</dc:identifier>
  <dc:identifier>10.14278/rodare.1687</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:1687</dc:identifier>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-34769</dc:relation>
  <dc:relation>doi:10.14278/rodare.1686</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>GISAXS</dc:subject>
  <dc:subject>Inverse problems</dc:subject>
  <dc:title>Dataset for Inversion of GISAXS data (1 layer)</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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