Astronomy and Astrophysics – Astrophysics
Scientific paper
Feb 1990
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990gsu..rept.....m&link_type=abstract
Final Technical Report, 15 May 1986 - 14 Nov. 1989 Georgia State Univ., Atlanta. Center for High Angular Resolution Astronomy.
Astronomy and Astrophysics
Astrophysics
Astronomical Photography, Atmospheric Turbulence, Diffraction Limited Cameras, Speckle Interferometry, Stellar Color, Stellar Luminosity, Algorithms, Astrophysics, Binary Stars, Dwarf Stars, Exposure, Image Processing, Image Resolution, Photometry, Spatial Distribution, Specular Reflection
Scientific paper
Speckle interferometric methods provide a means for reconstructing diffraction limited images from atmospherically blurred image data obtained in snapshots with exposure times shorter than the atmospheric redistribution time, typically shorter than 20 milliseconds. Several areas of research were emphasized: (1) Speckle Photometry - The extraction of the differential brightness and color of the components of close binary stars has always been a fundamental limit to the usefulness of these objects to stellar astrophysics. Simple and fast methods were developed and applied to actual data which enable the measurement of these parameters for large numbers of stars. Newly developed algorithms include a directed vector-autocorrelation (DVA) technique for eliminating the 180 deg quadrant ambiguity inherent in speckle interferometric measurements of the astrometry of binary stars. DVA is a simple extension of normal vector-autocorrelation and requires orders of magnitude less computing time that standard image reconstruction methods when applied to binary stars. The second new algorithm is known as the fork method and provides a means for a statistically based determination of the intensity ratio of a binary at any selected wavelength, thereby providing color information through the comparison of any two wavelengths. (2) Super Diffraction-Limited Detection - The very high accuracy of speckle astrometry provides a leveraging method for detecting close companions whose spatial separations are far less than the diffraction limit.
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