Computer Science
Scientific paper
Oct 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996spie.2806..386k&link_type=abstract
Proc. SPIE Vol. 2806, p. 386-397, Gamma-Ray and Cosmic-Ray Detectors, Techniques, and Missions, Brian D. Ramsey; Thomas A. Parne
Computer Science
10
Scientific paper
This paper presents some of the imaging analysis techniques which are currently used to investigate COMPTEL 1.8 MeV gamma-ray line data. In the first part of this paper, an algorithm is presented which allows the accurate prediction of the background distribution at a specific line energy using measurements at adjacent energy intervals. The second part deals with the different image reconstruction methods which are applied to COMPTEL data, namely the maximum entropy method, the Richardson-Lucy algorithm and Pixon- based image reconstruction. We conclude that after 5 years of experience with COMPTEL, 1.8 MeV gamma-ray line imaging techniques are well established allowing a comprehensive study of cosmic gamma-ray line emission.
Bennett Kevin
Bloemen Hans
Diehl Roland
Hermsen Willem
Knoedlseder Juergen
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