High-resolution study of the 113Cd(n, γ) spectrum by statistical decay model with discrete levels and transitions

T. Belgya, L. Szentmiklósi, Ralph Massarczyk, Ronald Schwengner, Arnd R. Junghans, Eckart Grosse

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The gamma-ray spectrum and the decay scheme of 114Cd obtained from a radiative neutron capture experiment on 113Cd samples are modelled in the framework of extreme statistical model. The unfolding of the experimental spectrum with proper normalization yields a total capture cross section of 21640 b and an average gamma-ray multiplicity of 4.1. Using the extreme statistical model the development of the low energy decay scheme of 114Cd is in progress. In the model the constant-temperature level density is used, where the temperature parameter was very sensitive to the shape of the modelled gamma-ray spectrum. Using this sensitivity T = 0.62 MeV was obtained with the constraint of good description of low energy level density and the level density at the binding energy. This is in full agreement with our earlier publication. For the description of the continuum shape of the unfolded spectrum the inclusion of low energy enhancement for the photon strength function was an important new addition.

Original languageEnglish
Title of host publicationND 2016
Subtitle of host publicationInternational Conference on Nuclear Data for Science and Technology
PublisherEDP Sciences
Volume146
ISBN (Electronic)9782759890200
DOIs
Publication statusPublished - Sep 13 2017
Event2016 International Conference on Nuclear Data for Science and Technology, ND 2016 - Bruges, Belgium
Duration: Sep 11 2016Sep 16 2016

Other

Other2016 International Conference on Nuclear Data for Science and Technology, ND 2016
CountryBelgium
CityBruges
Period9/11/169/16/16

Fingerprint

gamma ray spectra
high resolution
decay
absorption cross sections
binding energy
energy levels
gamma rays
inclusions
continuums
neutrons
temperature
energy
augmentation
sensitivity
photons

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Belgya, T., Szentmiklósi, L., Massarczyk, R., Schwengner, R., Junghans, A. R., & Grosse, E. (2017). High-resolution study of the 113Cd(n, γ) spectrum by statistical decay model with discrete levels and transitions. In ND 2016: International Conference on Nuclear Data for Science and Technology (Vol. 146). [05009] EDP Sciences. https://doi.org/10.1051/epjconf/201714605009

High-resolution study of the 113Cd(n, γ) spectrum by statistical decay model with discrete levels and transitions. / Belgya, T.; Szentmiklósi, L.; Massarczyk, Ralph; Schwengner, Ronald; Junghans, Arnd R.; Grosse, Eckart.

ND 2016: International Conference on Nuclear Data for Science and Technology. Vol. 146 EDP Sciences, 2017. 05009.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Belgya, T, Szentmiklósi, L, Massarczyk, R, Schwengner, R, Junghans, AR & Grosse, E 2017, High-resolution study of the 113Cd(n, γ) spectrum by statistical decay model with discrete levels and transitions. in ND 2016: International Conference on Nuclear Data for Science and Technology. vol. 146, 05009, EDP Sciences, 2016 International Conference on Nuclear Data for Science and Technology, ND 2016, Bruges, Belgium, 9/11/16. https://doi.org/10.1051/epjconf/201714605009
Belgya T, Szentmiklósi L, Massarczyk R, Schwengner R, Junghans AR, Grosse E. High-resolution study of the 113Cd(n, γ) spectrum by statistical decay model with discrete levels and transitions. In ND 2016: International Conference on Nuclear Data for Science and Technology. Vol. 146. EDP Sciences. 2017. 05009 https://doi.org/10.1051/epjconf/201714605009
Belgya, T. ; Szentmiklósi, L. ; Massarczyk, Ralph ; Schwengner, Ronald ; Junghans, Arnd R. ; Grosse, Eckart. / High-resolution study of the 113Cd(n, γ) spectrum by statistical decay model with discrete levels and transitions. ND 2016: International Conference on Nuclear Data for Science and Technology. Vol. 146 EDP Sciences, 2017.
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