Maximum-entropy image processing in gamma-ray astronomy

Details Maximum-entropy image processing in gamma-ray astronomy Maximum-entropy image processing in gamma-ray astronomy

Apr 1979

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1979mnras.187..145s&link_type=abstract

Monthly Notices of the Royal Astronomical Society, vol. 187, Apr. 1979, p. 145-152.

Astronomy and Astrophysics

Astronomy

17

Entropy, Gamma Ray Astronomy, Image Processing, Algorithms, Astronomical Maps, Satellite Observation, Statistical Tests

Scientific paper

In order to make the fullest use of the information contained in data from a spark-chamber telescope, an image processing approach, is required. It is shown how the maximum-entropy reconstruction technique can be applied in a modification appropriate to a situation of low statistical weight per resolution solid angle, as usually occurs with present instruments observing the gamma-ray sky. The final decision relating to the choice of map can be made by using the Kolmogoroff-Smirnoff nonparametric test. Properties of the algorithm are investigated by using simulated data, and a degree of superresolution is found possible even with quite poor statistics. Some examples of an application to data from the COS B satellite are presented to show the power of the method.

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