会议论文详细信息
6th Nuclear Physics in Astrophysics
Investigation of the Photon Strength Function in 130 Te
物理学;天文学
Isaak, J.^1,2 ; Beller, J.^3 ; Fiori, E.^1,2 ; Glorius, J.^4 ; Krtika, M.^5 ; Löher, B.^1,2 ; Pietralla, N.^3 ; Romig, C.^3 ; Rusev, G.^6 ; Savran, D.^1,2 ; Scheck, M.^3,7,8 ; Silva, J.^1,2 ; Sonnabend, K.^4 ; Tonchev, A.P.^9 ; Tornow, W.^10,11 ; Weller, H.R.^10,11 ; Zweidinger, M.^3
ExtreMe Matter Institute EMMI and Research Division, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany^1
Frankfurt Institute for Advanced Studies FIAS, Frankfurt, Germany^2
Institut für Kernphysik, Technische Universität Darmstadt, Darmstadt, Germany^3
Institut für Angewandte Physik, Goethe-Universität Frankfurt, Frankfurt, Germany^4
Faculty of Mathematics and Physics, Charles University, Prague 8, Czech Republic^5
Chemistry Division, Los Alamos National Laboratory, Los Alamos
NM
87545, United States^6
School of Engineering, University of the West of Scotland, Paisley
PA1 2BE, United Kingdom^7
SUPA, Scottish Universities Physics Alliance, Glasgow
G12 8QQ, United Kingdom^8
Physics Division, Lawrence Livermore National Laboratory, Livermore
CA
94550, United States
(10) Triangle Universities Nuclear Laboratory, Durham
NC
27708, United States
(11) Department of Physics, Duke University, Durham
NC
27708-0308, United States^9
关键词: Continuous energy;    Decay properties;    Dipole strengths;    Gamma ray sources;    Nuclear resonance fluorescences;    Quasi-monoenergetic;    Statistical modeling;    Strength function;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/665/1/012039/pdf
DOI  :  10.1088/1742-6596/665/1/012039
学科分类:天文学(综合)
来源: IOP
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【 摘 要 】

The dipole strength distribution of130Te was investigated with the method of Nuclear Resonance Fluorescence using continuous-energy bremsstrahlung at the Darmstadt High Intensity Photon Setup and quasi-monoenergetic photons at the High Intensity γ-Ray Source. The average decay properties were determined between 5.50 and 8.15 MeV and compared to simulations within the statistical model.

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