Computer Science – Performance
Scientific paper
Feb 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010head...11.0907z&link_type=abstract
American Astronomical Society, HEAD meeting #11, #9.07; Bulletin of the American Astronomical Society, Vol. 41, p.668
Computer Science
Performance
Scientific paper
A decade after de-orbiting CGRO, COMPTEL's 1-30 MeV all-sky imaging data set remains unsurpassed, and no current or planned mission is capable of challenging COMPTEL's performance in the near future. Since the nineties, when the original COMPTEL data analysis techniques were developed, the performance of state-of-the-art computers has increased by orders of magnitude, enabling new and improved techniques that were out of reach at that time.
We are in the progress of reanalyzing selected COMPTEL data sets with the latest Compton event and image reconstruction techniques with the goal to improve the imaging sensitivity of COMPTEL. The first step of the analysis is to reproduce the COMPTEL measurements with ab-initio simulations to achieve a better understanding of the background, to verify the simulation tools in this energy range, and to develop the capability of simulating improved response matrices. The second step is to apply modern, multi-dimensional Compton event reconstruction and selections (e.g. Bayesian event selections) to the COMPTEL data to better separate source photons from background events, and thus improving the signal to noise ratio. Finally, we developed a new imaging approach based on a partially-binned-response list-mode ML-EM, with a higher-fidelity response model than that of the original COMPTEL imaging response, which leads to improved image quality.
We report on the status of the data conversion, simulations, event selections, and imaging reconstruction, and show first results from selected COMPTEL observations (e.g. Galactic anti-center, SN1998bu).
This work was funded in part by NASA grant NNX08AJ38G.
Boggs Steven E.
Collmar Werner
Hartmann Dieter H.
Kippen Marc
Novikova Elena I.
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