7. Gamma-ray strength functions

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7. Gamma-ray strength functions Prof. Dr. A.J. (Arjan) Koning1,2 1International Atomic Energy Agency, Vienna 2Division of Applied Nuclear Physics, Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden Email: A.koning@iaea.org EXTEND European School on Experiment, Theory and Evaluation of Nuclear Data, Uppsala University, Sweden, August 29 - September 2, 2016

S Tc S Tc ab = (CN) Pb a (CN) = Ta a Pb= Tb c = ab Ta Tb c p 2 THE COMPOUND NUCLEUS MODEL (basic formalism) Compound nucleus hypothesis Continuum of excited levels Independence between incoming channel a and outgoing channel b ab = (CN) Pb a (CN) = Ta a p ka 2 Pb= Tb S Tc c  Hauser- Feshbach formula = ab p ka 2 Ta Tb S Tc c Tb can only be a gamma-ray transmission coefficient

MISCELLANEOUS : THE PHOTON EMISSION (strength function and selection rules)

(strength function and selection rules) THE PHOTON EMISSION (strength function and selection rules) Improved analytical expressions : - 2 Lorentzians for deformed nuclei - Account for low energy deviations from standard Lorentzians for E1 . Kadmenskij-Markushef-Furman model (1983)  Enhanced Generalized Lorentzian model of Kopecky-Uhl (1990)  Hybrid model of Goriely (1998)  Generalized Fermi liquid model of Plujko-Kavatsyuk (2003) - Reconciliation with electromagnetic nuclear response theory  Modified Lorentzian model of Plujko et al. (2002)  Simplified Modified Lorentzian model of Plujko et al. (2008) Microscopic approaches : RPA, QRPA « Those who know what is (Q)RPA don’t care about details, those who don’t know don’t care either », private communication  Systematic QRPA with Skm force for 3317 nuclei performed by Goriely-Khan (2002,2004)  Systematic QRPA with Gogny force underconstruction

MISCELLANEOUS : THE PHOTON EMISSION (phenomenology vs microscopic) See S. Goriely & E. Khan, NPA 706 (2002) 217. S. Goriely et al., NPA739 (2004) 331.

Important for practical TALYS work (TALYS manual) Strength function can be renormalised and fitted to neutron capture data Using gamgamadjust keyword

Fit capture cross section for Cu-65 Channels y Filechannels y Plot (log scale) xs000000.tot Adjust ‘gamgamadjust 29 66’ until satisfied

Photonuclear: Do this for Cu-65 (any exp data? If not, run for Cu-63)