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Mixture Modeling of M51

Published online by Cambridge University Press:  12 April 2016

Paul E. Johnson ,
David M. Waddill ,
Leisa K. Townsley ,
Timothy N. Titus  and
Earl J. Spillar
Paul E. Johnson
Affiliation:
Dept. of Physics and Astronomy, University of Wyoming, Laramie, WY 82071, USA
David M. Waddill
Affiliation:
Dept. of Physics and Astronomy, University of Wyoming, Laramie, WY 82071, USA
Leisa K. Townsley
Affiliation:
Dept. of Physics and Astronomy, University of Wyoming, Laramie, WY 82071, USA
Timothy N. Titus
Affiliation:
Dept. of Physics and Astronomy, University of Wyoming, Laramie, WY 82071, USA
Earl J. Spillar
Affiliation:
Dept. of Physics and Astronomy, University of Wyoming, Laramie, WY 82071, USA

Abstract

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One of the major problems with 3D spectroscopy is the adequate and meaningful display and analysis of large image cubes. We use linear mixture modeling to analyze multispectral CCD images of M51 in the visible and near-IR. We find that M51 can be modeled within the noise limits of the data as a linear combination of six components taken three at a time.

Type
3. Integral Field Spectrographs and Spectrometers
Information
International Astronomical Union Colloquium , Volume 149: Tridimensional Optical Spectroscopic Methods in Astrophysics , 1995 , pp. 288 - 291
Copyright
Copyright © Astronomical Society of the Pacific 1995

References

Adams, J.B., Smith, M.O., and Gillespie, A.B., 1989, Proc. IEEE bit. Geosci. Remote Sensing Symp., I, 16.Google Scholar
Pinet, P.C., Chevrel, S.D., and Martin, P. 1993, Science, 260, 797.Google Scholar
Schweizer, F. 1976, ApJS, 31, 313.CrossRefGoogle Scholar