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Prospects for Rapid, Routine Speckle Photometry

Published online by Cambridge University Press:  12 April 2016

D.J. Barry ,
W.G. Bagnuolo ,
B.D. Mason ,
H.A. McAlister  and
N.H. Turner
D.J. Barry
Affiliation:
Center for High Angular Resolution Astronomy, Georgia State University, Atlanta, Georgia 30303
W.G. Bagnuolo
Affiliation:
Center for High Angular Resolution Astronomy, Georgia State University, Atlanta, Georgia 30303
B.D. Mason
Affiliation:
Center for High Angular Resolution Astronomy, Georgia State University, Atlanta, Georgia 30303
H.A. McAlister
Affiliation:
Center for High Angular Resolution Astronomy, Georgia State University, Atlanta, Georgia 30303
N.H. Turner
Affiliation:
Center for High Angular Resolution Astronomy, Georgia State University, Atlanta, Georgia 30303

Extract

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Image reconstruction techniques have rapidly matured over the last decade, and increasing reference to full–aperture and masked aperture results appear in the literature. Although anomalies in morphology are understood, most work uses nonlinear iterative refinements of questionable photometric robustness. Recent development of linear least–squares phase reconstruction techniques from the bispectrum (Glindemann et al. 1991) offers hope for a robust technique using a computational tour de force. However, the field cannot be considered mature until routine photometry of a large number of speckle–resolved objects is performed and demonstrated to be repeatable. We review our work and our expectations for use of both computationally intensive and simple techniques in our routine speckle reductions.

Type
High Resolution At Visual Wavelengths
Information
International Astronomical Union Colloquium , Volume 135: Complementary Approaches to Double and Multiple Star Research , 1992 , pp. 537 - 539
Copyright
Copyright © Astronomical Society of the Pacific 1992

References

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Dombrowski, E.G. 1990, Ph.D. thesis, Georgia State University Google Scholar
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Glindemann, A., Lane, R.G., & Dainty, J.C. 1991, “Estimation of Binary Star Parameters by Model Fitting the Bispectrum Phase”, in pressCrossRefGoogle Scholar
Glindemann, A., Lane, R.G., Dainty, J.C. 1991, “Least Squares Reconstruction of the Object Phase from the Bispectrum”, Digital Signal Processing–91, eds. Cappellini, V. and Constantinides, A.G., (Elsevier Science Publishers)Google Scholar