Paper
18 October 1996 COMPTEL gamma-ray line analysis techniques
Juergen Knoedlseder, Peter von Ballmoos, Roland Diehl, U. Oberlack, Volker Schoenfelder, H. Bloemen, W. Hermsen, James M. Ryan, Kevin Bennett
Author Affiliations +
Abstract
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juergen Knoedlseder, Peter von Ballmoos, Roland Diehl, U. Oberlack, Volker Schoenfelder, H. Bloemen, W. Hermsen, James M. Ryan, and Kevin Bennett "COMPTEL gamma-ray line analysis techniques", Proc. SPIE 2806, Gamma-Ray and Cosmic-Ray Detectors, Techniques, and Missions, (18 October 1996); https://doi.org/10.1117/12.254000
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Cited by 11 scholarly publications.
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KEYWORDS
Data modeling

Reconstruction algorithms

Image restoration

Gamma radiation

Smoothing

Sensors

Instrument modeling

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