ETD Collection

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    Fragmentation of the isoscalar giant quadrupole resonance in low mass 12 -< A -> 40 nuclei and 2+ level density in 40Ca from high energy-resolution (p,p') scattering at 200 MeV
    (2010-03-15T12:05:51Z) Usman, Iyabo Tinuola
    The Isoscalar Giant Quadrupole Resonance (ISGQR) in low-mass nuclei has been investigated in high energy-resolution experiments using proton inelastic scattering at Ep equals to 200 MeV. The measurements extend and complete the investigation already undertaken for medium and heavy-mass nuclei using the K600 magnetic spectrometer and a proton beam from the K200 Separated Sector Cyclotron (SSC) facility of iThemba LABS, South Africa.
  • Item
    Identification of characteristic energy scales in nuclear isoscalar giant quadrupole resonances: Fourier transforms and wavelet analysis
    (2008-08-08T08:37:33Z) Usman, Iyabo Tinuola
    The identification of energy scales in the region of Isoscalar Giant Quadrupole Resonance (ISGQR) is motivated by their potential use in understanding how an ordered collective motion transforms into a disordered motion of intrinsic single-particle degrees-of-freedom in many-body quantum systems. High energy-resolution measurements of the ISGQR were obtained by proton inelastic scattering at Ep= 200 MeV using the K600 magnetic Spectrometer at iThemba LABS. The nuclei 58Ni, 90Zr, 120Sn and 208Pb, associated with closed shells, were investigated. Both the Fourier transform and Wavelet analysis were used to extract characteristic energy scales and were later compared with the results from the theoretical microscopic Quasi-particle Phonon Model (QPM), including contributions from collective and non-collective states. The scales found in the experimental data were in good agreement with the QPM. This provides a strong argument that the observed energy scales result from the decay of the collective modes into 2p-2h states. The different scale regions were tested directly by reconstruction of measured energy spectra using the Inverse Fourier Transform and the Continuous Wavelet Transform (CWT), together with a comparison to a previously available reconstruction using the Discrete Wavelet Transform (DWT).