Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2018Spectral correction algorithm for multispectral CdTe x-ray detectors30citations
  • 2012Elongational flow-Induced Crystallization in Polypropylene/Talc Nanocompositescitations

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Feidenhansl, Robert Krarup
1 / 4 shared
Kehres, Jan
1 / 8 shared
Dreier, Erik Schou
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Olsen, Ulrik Lund
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Busi, Matteo
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Gu, Yun
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Fulchiron, René
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Fiorentino, Brice
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2018
2012

Co-Authors (by relevance)

  • Feidenhansl, Robert Krarup
  • Kehres, Jan
  • Dreier, Erik Schou
  • Olsen, Ulrik Lund
  • Busi, Matteo
  • Gu, Yun
  • Fulchiron, René
  • Majesté, Jean-Charles
  • Fiorentino, Brice
OrganizationsLocationPeople

article

Spectral correction algorithm for multispectral CdTe x-ray detectors

  • Feidenhansl, Robert Krarup
  • Kehres, Jan
  • Khalil, Mohamad
  • Dreier, Erik Schou
  • Olsen, Ulrik Lund
  • Busi, Matteo
  • Gu, Yun
Abstract

Compared to the dual-energy scintillator detectors widely used today, energy-resolved photon-counting x-ray detectors show the potential to improve material identification in various radiography and tomography applications used for industrial and security purposes. However, detector effects, such as charge sharing and photon pileup, distort the measured spectra in pixelated, photon-counting detectors operating under high flux. These effects result in a significant performance degradation of the detectors when used for material identification where accurate spectral measurements are required. We have developed a semianalytical, postdata acquisition, computational algorithm that corrects the measured attenuation curve for severe spectral distortions caused by the detector. The calibration of the algorithm is based on simple attenuation measurements of commercially available materials using standard laboratory sources, enabling the algorithm to be used in any x-ray setup. The algorithm is developed for correcting spectral data acquired with the MultiX ME100 CdTe x-ray detector but could be adapted with small adjustments to other photon-counting, energy-resolved detectors with CdTe sensors. The validation of the algorithm has been done using experimental data acquired with both a standard laboratory source and synchrotron radiation. The experiments show that the algorithm is fast, reliable at x-ray flux up to 5 Mph/s/mm(2) and greatly improves the accuracy of the measured spectrally resolved linear attenuation, making the algorithm useful for both security and industrial applications where photon-counting detectors are used. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)

Topics
  • impedance spectroscopy
  • experiment
  • tomography