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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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 (1/1 displayed)

  • 2005On measuring planetary winds using high-resolution spectroscopy in visible wavelengths16citations

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Neiner, Coralie
1 / 3 shared
Luz, D.
1 / 1 shared
Courtin, R.
1 / 1 shared
Gautier, D.
1 / 1 shared
Appourchaux, T.
1 / 1 shared
Lebreton, J. -P.
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Civeit, T.
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Chart of publication period
2005

Co-Authors (by relevance)

  • Neiner, Coralie
  • Luz, D.
  • Courtin, R.
  • Gautier, D.
  • Appourchaux, T.
  • Lebreton, J. -P.
  • Civeit, T.
OrganizationsLocationPeople

article

On measuring planetary winds using high-resolution spectroscopy in visible wavelengths

  • Witasse, O.
  • Neiner, Coralie
  • Luz, D.
  • Courtin, R.
  • Gautier, D.
  • Appourchaux, T.
  • Lebreton, J. -P.
  • Civeit, T.
Abstract

We present a new method that uses high-resolution spectroscopy in the visible wavelength domain to measure planetary winds. A rotating atmosphere illuminated by the Sun induces a Doppler shift in the back-scattered solar light. Its analysis with a cross-dispersed echelle spectrometer allows the direct determination of both the wind speed and direction. We describe in this paper the image and data processing algorithms used in the method and implemented in a data reduction and analysis package. Since the velocity of planetary winds leads to Doppler shifts smaller than the width of the solar lines, accurate Doppler measurements are performed by running the algorithm proposed by [CITE], which is an optimum technique using the full available spectral information. We apply the method to Io as a test case, a small slowly-rotating body with no atmosphere, to measure its solid rotation. The observations span wavelengths from 414 to 621 nm and were carried out with the Ultraviolet and Visual Echelle Spectrograph (UVES) on the 8.2 m Kueyen unit at the Very Large Telescope (VLTESO). The results we obtain for Io validate the principle of the method by optimally measuring the well-known surface rotational velocity of this moon, with an uncertainty smaller than 2 m s<SUP>-1</SUP>. However, the analysis of the set of observations shows that systematic errors are large and one needs to consider the retrieved velocity as a lower limit.

Topics
  • impedance spectroscopy
  • surface