Skip to main content
Log in

Extraterrestrial and terrestrial applications of the Mössbauer spectroscopy

  • Published:
Czechoslovak Journal of Physics Aims and scope

Abstract

Mössbauer spectroscopy is a powerful technique used by physicists, chemists, geologists, biologists, metallurgists and scientists from other disciplines. A portable Mössbauer spectrometer, developed for extraterrestrial applications [1], opens up new industrial applications of MBS [1]. But for industrial applications it is also required to have a tool available for fast data analysis that should be easy to handle. The analysis of Mössbauer spectra and parameters is a barrier for a popularization of this wide-applicable spectroscopic technique in industry. Based on experience, it is time-consuming and requires the dedication of a specialist. But the analysis of Mössbauer spectra, from the fitting to the identification of the sample phases, can be fast using genetic algorithms, fuzzy logic and artificial neural networks [2]. Industrial applications are very specific ones and the data analysis can be performed using these algorithms. In combination with an automatic analysis, the Mössbauer spectrometer can be used as a probe instrument, which covers the main industrial applications. It is needed for on-line monitoring of products, processes and studies of case.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. G. Klingelhöfer, B. Fegley Jr., R.V. Morris, E. Kankeleit, E. Evlanov, O. Priloustkii, J.M. Knudsen, and M.B. Madsen: inWorkshop on Evolution of Martian Volatiles, 1996 (Eds. B. Jakosky, A. Treiman), LPI Tech. Rpt. 96-01, Part 1, Lunar and Planetary Institute, Houston, 1996.

    Google Scholar 

  2. P.A. de Souza Jr.: Lab. Robot. Automat.11 (1999) 3.

    Article  Google Scholar 

  3. http://www.jpl.nasa.gov

  4. E. Sànches-Sinencio, C.G.Y. Lao, eds.:Artificial Neural Networks — Paradigms, applications, and hardware implementation, IEEE Press, New York (USA), 1992.

    Google Scholar 

  5. T. Kohonen: IEEE Comp. Mag. (1988) 11.

  6. R.E. Arvidson, C. Acton, D. Blaney, J. Bowman, S. Kim, G. Klingelhöfer, J. Marshal, C. Neibur, J. Plescia, R.S. Saunders, and C.T. Ulmer: J. Geophys. Res.103 (1998) 22671.

    Article  ADS  Google Scholar 

  7. P.A. de Souza Jr., O.D. Rodrigues, T. Morimoto, and V.K. Garg: Hyperf. Int.112 (1998) 133.

    Article  ADS  Google Scholar 

  8. S. Weber, P. Hoffmann, J. Ensling, A.N. Dedik, S. Weinbruch, G. Miehe, P. Gütlich, and H.M. Ortner: J. Aerosol Sci.31 8 (2000) 987.

    Article  Google Scholar 

  9. T. Kohonen: IEEE Computer Mag., March (1988) 11–12.

  10. R.E. Arvidson, C. Acton, D. Blaney, J. Bowman, S. Kim, G. Klingelhöfer, J. Marshal, C. Neibur, J. Plescia, R.S. Saunders, and C.T. Ulmer: J. Coophys. Res.103, E10 (1998) 22671.

    Article  ADS  Google Scholar 

  11. P.A. de Souza Jr., O.D. Rodrigues, T. Morimoto, and V.K. Garg: Hyperf. Int.112 (1998) 133.

    Article  ADS  Google Scholar 

  12. S. Weber, P. Hoffmann, J. Ensling, A.N. Dedik, S. Weinbruch, G. Miehe, P. Gütlich, and H.M. Ortner: J. Aerosol Sci.8 (2000) 987.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Financial support from German Space Agency (DLR, contract # 50 QM 92081) and Companhia Siderurgica de Tubarão is thankfully acknowledged.

Rights and permissions

Reprints and permissions

About this article

Cite this article

de Souza, P.A., Klingelhöfer, G. Extraterrestrial and terrestrial applications of the Mössbauer spectroscopy. Czech J Phys 51, 651–662 (2001). https://doi.org/10.1023/A:1017645731576

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1017645731576

Keywords

Navigation