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Proceedings Paper

Fast maximum-likelihood estimation methods for scintillation cameras and other optical sensors
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Paper Abstract

Maximum-likelihood estimation methods offer many advantages for processing experimental data to extract information, especially when combined with carefully measured calibration data. There are many tasks relevant to x-ray and gamma-ray detection that can be addressed with a new, fast ML-search algorithm that can be implemented in hardware or software. Example applications include gamma-ray event position, energy, and timing estimation, as well as general applications in optical testing and wave-front sensing.

Paper Details

Date Published: 8 October 2007
PDF: 6 pages
Proc. SPIE 6707, Penetrating Radiation Systems and Applications VIII, 67070N (8 October 2007); doi: 10.1117/12.740321
Show Author Affiliations
L. R. Furenlid, Univ. of Arizona (United States)
J. Y. Hesterman, Univ. of Arizona (United States)
H. H. Barrett, Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 6707:
Penetrating Radiation Systems and Applications VIII
F. Patrick Doty; H. Bradford Barber; Hans Roehrig, Editor(s)

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