A genetic algorithm for the decomposition of multiple hit events in the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si10.gif" overflow="scroll"><mml:mi mathvariant="normal">γ</mml:mi></mml:math>-ray tracking detector MARS

Kroll, Thilo; Bazzacco, D.

doi:10.1016/j.nima.2006.06.036

Cited by 23 publications

(7 citation statements)

References 12 publications

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“…Time spectra were constructed and aligned for each HPGe and BaF 2 detector (the first as differences between the 12 AGATA detectors, the latter with respect to the trigger signal), resulting in a very similar time structure, with a time resolution of the order of 20 ns. Finally, a tracking algorithm [33] was applied to recover Compton scattering events and to improve the peak-to-background ratio of the AGATA array. This resulted in a Ge-fold distribution peaked around F γ (AGATA) = 2.…”

Section: The Experimentsmentioning

confidence: 99%

Global properties ofKhindrance probed by theγdecay of the warm rotating174W nucleus

Vandone¹,

Leoni²,

Blasi³

et al. 2013

Phys. Rev. C

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The K hindrance to the γ decay is studied in the warm rotating 174 W nucleus, focusing on the weakening of the selection rules of the K quantum number with increasing excitation energy. 174 W was populated by the fusion reaction of 50 Ti (at 217 MeV) on a 128 Te target, and its γ decay was detected by the AGATA Demonstrator array coupled to a BaF 2 multiplicity filter at Laboratori Nazionali di Legnaro of INFN. A fluctuation analysis of γ coincidence matrices gives a similar number of low-K and high-K discrete excited bands. The results are compared to simulations of the γ -decay flow based on a microscopic cranked shell model at finite temperature in which the K mixing is governed by the interplay of Coriolis force with the residual interaction. Agreement between simulations and experiment is obtained only by hindering the E1 decay between low-K and high-K bands by an amount compatible with that determined by spectroscopic studies of K isomers in the same mass region, with a similar trend with excitation energy. The work indicates that K mixing due to temperature effects may play a leading role for the entire body of discrete excited bands, which probes the onset region of K weakening.

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Section: The Experimentsmentioning

confidence: 99%

Global properties ofKhindrance probed by theγdecay of the warm rotating174W nucleus

Vandone¹,

Leoni²,

Blasi³

et al. 2013

Phys. Rev. C

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“…The solutions are then evaluated using a fitness function that assigns a number to each solution [34]. Genetic algorithms have found use in various problems regarding radiation spectroscopy such as: analysis of gamma-ray spectra [6]- [9], analysis of coincidence spectra [35], decomposition of multiple hit events in gamma-ray tracking detectors [36], x-ray spectroscopy diagnostics for hot plasmas [37], and analysis of neutron spectra [38]. A generic block diagram of a genetic algorithm is presented in Fig.…”

Section: B Elements Of Genetic Algorithmsmentioning

confidence: 99%

Hybrid Fuzzy-Genetic Approach Integrating Peak Identification and Spectrum Fitting for Complex Gamma-Ray Spectra Analysis

Alamaniotis

Jevremović

2015

IEEE Trans. Nucl. Sci.

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A novel hybrid approach for analysis of complex gamma-ray spectra of various origins is described and the test results using spectra obtained from a sodium iodide detector (NaI) are presented. This novel approach exploits the synergism of two artificial intelligence tools; fuzzy logic and genetic algorithms, where the two are merged to identify isotopes and their respective contribution in a given spectrum. The fuzzy logic module focuses on identifying isotopes in the spectrum, while the genetic algorithm (GA) fits and subsequently computes the fractional abundances of the identified isotopes. The fitting of the spectrum is controlled by an assessment procedure based on the test for significance of abundance coefficients, and on the computation of Theil coefficients. This unique synergism between fuzzy logic and GA presents a novel mechanism for automated selection of isotopes for use in spectrum fitting, and as a result eliminates manually-based fitting and/or user intervention. A variety of test cases-including NaI real measured spectra-are used to benchmark this new approach. In addition, the performance of the hybrid method is compared to the multiple linear regression (MLR) fitting approach, along with the combination of fuzzy logic with MLR. This comparison demonstrates a slight superiority of this novel approach regarding accuracy, precision and number of reported false detections.

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“…2. For this purpose, many algorithms have been developed, (grid search [16,17], matrix method [18,19,20], wavelet decomposition [21], ...) some of them using artificial intelligence methods (genetic algorithms [22], neural network [23], ...). In fact, artificial intelligence methods appeared to be efficient but slow and thus applicable only in the case when the interaction location is performed off-line.…”

Section: Linear System Of Equationsmentioning

confidence: 99%

Matrix formalism and singular-value decomposition for the location of gamma interactions in segmented HPGe detectors

Désesquelles

Hauschild

et al. 2009

Eur. Phys. J. A

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Modern coaxial and planar HPGe detectors allow a precise determination of the energies and trajectories of the impinging gamma-rays. This entails the location of the gamma interactions inside the crystal from the shape of the delivered signals. This paper reviews the state of the art of the analysis of the HPGe response function and proposes methods that lead to optimum signal decomposition. The generic matrix method allows fast location of the interactions even when the induced signals strongly overlap.PACS. 29.40.Gx Tracking and position-sensitive detectors -02.30.Zz Inverse problems -29.30.Kv X-and gamma-ray spectroscopy -07.50.Qx Signal processing electronics

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A genetic algorithm for the decomposition of multiple hit events in the γ-ray tracking detector MARS

Cited by 23 publications

References 12 publications

Global properties ofKhindrance probed by theγdecay of the warm rotating174W nucleus

Global properties ofKhindrance probed by theγdecay of the warm rotating174W nucleus

Hybrid Fuzzy-Genetic Approach Integrating Peak Identification and Spectrum Fitting for Complex Gamma-Ray Spectra Analysis

Matrix formalism and singular-value decomposition for the location of gamma interactions in segmented HPGe detectors

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