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Algorithms for the Analysis of Data from the Extreme Ultraviolet Explorer

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Data Analysis in Astronomy III

Part of the book series: Ettore Majorana International Science Series ((EMISS,volume 40))

Abstract

An algorithm is described that is intended for use in the analysis of data from the Extreme Ultraviolet Explorer (EUVE) satellite. An improved technique for detecting sources has been developed. This method is shown to be computationally simpler than non-linear methods and more sensitive to point sources than previous linear techniques, because it incorporates more information from the instrument point spread function. It is shown how simulated data help test this algorithm and are useful in the design of the satellite hardware.

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References

  • Bowyer, S., Malina, R. F., and Marshall, H. L. 1988, “The Extreme Ultraviolet Explorer Mission: Instrumentation and Science Goals,” in J.B.I.S. ,41, 357.

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  • Cruddace, R. G., Hasinger, G. R., and Schmitt, J. H. M. M. 1988, “The Application of a Maximum Likelihood Analysis to Detection of Sources in the ROSAT Data Base,” in proceedings of the ESO conference on Astronomy from Large Databases, 177.

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  • Marshall, H. L., Dobson, C.A., Malina, R. F., and Bowyer, S. 1987, “Analysis of Simulated Images from the Extreme Ultraviolet Explorer,” in proceedings of the International Topical Meeting on Image Detection and Quality ,ANRT and SPIE, 702, 275.

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  • 1988, “Plans for the Extreme Ultraviolet Explorer Data Base,” in proceedings of the ESO conference on Astronomy from Large Databases ,397.

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Author information

Authors and Affiliations

  1. Space Sciences Laboratory, University of California, Berkeley, CA, 94720, USA

    Herman L. Marshall

Authors
  1. Herman L. Marshall
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Editor information

Editors and Affiliations

  1. University of Palermo and Institute of Cosmic Physics and Informatics/CNR, Palermo, Italy

    V. Di Gesù , L. Scarsi  & M. C. Maccarone ,  & 

  2. European Southern Observatory, Garching/Munich, Federal Republic of Germany

    P. Crane

  3. Stanford University, Stanford, California, USA

    J. H. Friedman

  4. University of Rome “La Sapienza”, Rome, Italy

    S. Levialdi

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© 1989 Plenum Press, New York

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Marshall, H.L. (1989). Algorithms for the Analysis of Data from the Extreme Ultraviolet Explorer. In: Di Gesù, V., Scarsi, L., Crane, P., Friedman, J.H., Levialdi, S., Maccarone, M.C. (eds) Data Analysis in Astronomy III. Ettore Majorana International Science Series, vol 40. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5646-2_19

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  • DOI: https://doi.org/10.1007/978-1-4684-5646-2_19

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-5648-6

  • Online ISBN: 978-1-4684-5646-2

  • eBook Packages: Springer Book Archive

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