Deconvolution of γ-spectra variably affected by space radiation using an evolutionary algorithm

Details Deconvolution of γ-spectra variably affected by space radiation using an evolutionary algorithm Deconvolution of γ-spectra variably affected by space radiation using an evolutionary algorithm

Sep 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007spie.6706e..12m&link_type=abstract

Hard X-Ray and Gamma-Ray Detector Physics IX. Edited by James, Ralph B.; Burger, Arnold; Franks, Larry A. Proceedings of the SPI

Physics

Scientific paper

An evolutionary algorithm (ES) for automated deconvolution of γ-ray spectra is described that fits peak shape morphologies typical of spectra acquired from variably radiation damaged γ-ray detectors. Space radiation effects significantly impair semi-conductor γ-ray detector efficiency and induce variable degrees of nuclide peak broadening, distortion in spectra. Mars Odyssey Gamma-ray spectrometer data are used to demonstrate applicability of described algorithms for three degrees of radiation damage. ES methods accurately identify and quantify the discrete set of nuclide peaks in an arbitrary spectrum using a nuclide library. A novel method of constraining peak low energy tails, broadened by detector radiation damage, reduces the peak shape model from six parameters to four yielding a significant minimization of model complexity. Benefits of this approach include the simple implementation of highly specific parameter constraints that appropriately define feasible solution spaces. Methods describe peak low energy tailing descriptors as a continuum of low energy peak tailing curves representing increasing degrees of radiation damage. Curves are addressable by a single real valued parameter. Results illustrate the use of methods to simply describe relative radiation dosimetry using this parameter. Analysis of degraded spectra indicates method sensitivity to low and high levels of space radiation damage prior to and post MO-GRS detector annealings.

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