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Giant Resonances – Wavelets, Scales and Level Densities

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S-DALINAC. TU DARMSTADT. The 7th CNS International Summer School. Achim Richter. 2nd Lecture. Giant Resonances – Wavelets, Scales and Level Densities. Giant resonances. Damping mechanisms, time and energy scales. Fine structure. Wavelets and characteristic scales. Application: GQR.

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  1. S-DALINAC TU DARMSTADT The 7th CNS International Summer School Achim Richter 2nd Lecture Giant Resonances– Wavelets, Scales and Level Densities • Giant resonances • Damping mechanisms, time and energy scales • Fine structure • Wavelets and characteristic scales • Application: GQR • Many-body nuclear models and damping mechanisms • Relevance of scales: GTR • Level densities of Jp = 1+, 2+, 2- states Supported by DFG under SFB 634, 446 JAP 113 / 267 / 0-1 und 445 SUA-113 / 6 / 0-1

  2. Giant Resonances Gamow-Teller Monopole DL = 0 Dipole DL = 1 Quadrupole DL = 2 DT = 0 DS = 0 DT = 1 DS = 0 DT = 0 DS = 1 DT = 1 DS = 1

  3. Giant Resonances Isoscalar Isovector Monopole DL = 0 Dipole DL = 1 Quadrupole DL = 2 DT = 0 DS = 0 DT = 1 DS = 0 →interplay between collective and s.p. motion Courtesy of P. Adrich

  4. Isoscalar Quadrupole Mode • Pitthan and Walcher (Darmstadt, 1972) DL = 2 DT = 0 DE = 200 keV • Centroid energy: EX ~ 63 A-1/3 MeV • Width • Damping mechanisms

  5. Early Work on GR’s: 90Zr Bertrand et al. (1981) Counts DE (FWHM) ~ 1 MeV Excitation Energy (MeV)

  6. ^ Giant vibration = coherent superposition of elementary p-h excitations Microscopic Picture of Giant Resonances: 90Zr Dipole Jp = 1- DN = 1, DT = 1 Quadrupole Jp = 2+ DN = 2, DT = 0

  7. Excitation and Decay of Giant Resonances DG G G Direct decay Pre-equilibrium and statistical decay G = DG G G + + Resonance width Landau damping Escape width Spreading width

  8. Doorway State Model Scales GR |1p-1h> t ~ 10-22 s G ~ MeV doorway |2p-2h> t ~ 10-21 s G ~ MeV - keV compound nucleus t ~ 10-16 s G ~ keV - eV |np-nh>

  9. Fine Structure of Giant Resonances • High resolution is crucial • Possible probes: electrons and hadrons

  10. Fine Structure of Giant Resonances ISGQR in 208Pb 1981 1981 1991 • Different probes but similar structures →physical information content is the same

  11. Fine Structure of Giant Resonances • Global phenomenon? • - Other nuclei • - Other resonances • Methods for characterization of fine structure • Goal: dominant damping mechanisms

  12. Recent Experiments Place: iThemba LABS, South Africa RCNP, Osaka Reaction: ISGQR from (p,p´) GT from (3He,t) Beam energy: 200 MeV 140 MeV/u Scattering angles: 8° – 10° (DL = 2) 0° (DL = 0) DE = 35 - 50 keV DE = 50 keV Energy resolution: (FWHM)

  13. Fine Structure of the ISGQR DE  1 MeV TRIUMF (1981) DE  40 keV iThemba (2004) Fluctuations of different strengths and scales Not a Lorentzian

  14. Fine Structure of the ISGQR in Other Nuclei Fine structure of the ISGQR is a global phenomenon

  15. Fine Structure in Deformed Nuclei?

  16. Wavelet Analysis and Wavelet coefficients: Continuous: dE,Exare varied continuously

  17. Wavelet Analysis

  18. Wavelet Analysis

  19. Wavelet Analysis

  20. Wavelet Analysis

  21. 208Pb(p,p´) at iThemba LABS

  22. 208Pb(e,e´) at DALINAC

  23. Summary of Scales Scales are found in all nuclei Three classes I : ~ 100 keV all nuclei II : ~ 200 – 900 keV changes with mass number III : ~ 1.2 – 4.7 MeV gross width

  24. Interpretation of the Scales - Models • RPA Wambach et al. (2000)  • SRPA Wambach et al. (2000)  • QPM Ponomarev (2003)  • ETDHF Lacroix et al. (1997) • 1p–1h  phonon Kamerdziev et al. (1997) • ETFFS

  25. 208Pb RPA • No scales from 1p-1h states

  26. 208Pb SRPA • Coupling to 2p-2h generates fine structure and scales

  27. Microscopic Models: Case of 208Pb Large differences between model predictions No a priori judgement possible which model should be preferred Use wavelet analysis for a quantitative measure in comparison with the experimental observations

  28. Experiment vs. Model Predictions Scales (keV) Three classes of scales as in the experiment on a qualitative level But strong variations of class II and class III scales Take QPM for semi-quantitative analysis of damping mechanisms

  29. Semi-Quantitative Attempt of Interpretation: 208Pb as Example Two types of dissipation mechanisms: collective damping  low-lying surface vibrations  1p–1h  phonon non-collective damping  background states  coupling to 2p–2h states

  30. How Can the Two Mechanisms Be Separated: Distribution of the Coupling Matrix Elements (i) (ii) (i) 2p2h QPM: distribution for 1p1h | V1p1h | 2p2h →4nd Lecture RMT: deviations at large and at small m.e. Large m.e. define the collective damping mechanism Small m.e. are responsible for the non-collective damping

  31. Collective vs. Non-Collective Damping in 208Pb Wavelet Power (log a.u.) Collective part: all scales Non-collective part: no prominent scales Stochastic coupling

  32. Spreading of a GR due to the Coupling to Doorway States and Decay into Compound Nucleus States First step of coupling hierarchy 1p-1h  2p-2h has been tested Further steps require improvement in resolution

  33. IVGDR in Exclusive Electron Scattering

  34. 40Ca(e,e´p0)39K

  35. 48Ca(e,e´n)

  36. Are All Scales Equally Relevant for the Fine Structure? Example: Gamow-Teller Giant Resonance DL = 0, DT = 1, DS = 1

  37. Fine Structure of the Spin-Flip GTR High energy resolution Asymmetric fluctuations

  38. Discrete Wavelet Analysis * Wavelet coefficients: Discrete: dE=2 jandEx=kdE with j , k = 1, 2, 3, … Orthogonal basis of wavelet functions (e.g. biorthogonal form) Exact reconstruction of the spectrum is possible and it is fast Relevance of scales vanishing moments this defines the shape and magnitude of the background * http://www.mathworks.com/products/wavelet/

  39. Decomposition

  40. Decomposition of 90Zr(3He,t)90Nb Spectrum     Reconstruct the spectrum using important scales Model-independent background determination + fluctuations →level densities

  41. Discrete Wavelet Transform: Reconstructed Spectra

  42. Level Densities • Astrophysical network calculations • Back-shifted Fermi gas model • semiempirical approach • shell and pairing effects • Many-body density of states • two-component Fermi gas • shell effects, deformations • HF-BCS • microscopic statistical model (partition function, MSk7 force, local renormalization) • shell effects, pairing correlations, deformation effects, collective excitations • Monte-Carlo shell model calculations • parity dependence?

  43. Monte-Carlo Shell Model Predictions: pf + g9/2Shell small r- important at low energies • Total level density (not spin projected) shows strong parity dependence* • Questioned by recent experiments (45Sc)** ** Y. Alhassid, G.F. Bertsch, S. Liu, and H. Nakada, PRL 84 (2000) 4313 ** S.J. Lokitz, G.E. Mitchell, and J.F. Shriner, Jr., PRC 71 (2005) 064315

  44. Experimental Techniques • Selectivity • hadron scattering at extremely forward angles and intermediate energies • electron scattering at 180° and low momentum transfers • High resolution • lateral and angular dispersion matching • faint beam method* • Level density • fluctuation analysis** • Background • discrete wavelet transform*** ***H. Fujita et al., NIM A484 (2002) 17 **** P.G. Hansen, B. Jonson, and A. Richter, NPA 518 (1990) 13 ****Y. Kalmykov et al., PRL 96 (2006) 012502

  45. Fine Structure of the ISGQR: A = 90 • Selective excitation of 2+ states A. Shevchenko et al., PRL 93 (2004) 122501

  46. Fine Structure of the M2 Resonance: A = 90 • Selective excitation of 2- states P. von Neumann-Cosel et al., PRL 82 (1999) 1105

  47. Fluctuations and Level Densities • D/D Wigner • I/I Porter-Thomas →4th Lecture • G < D • G < D < DE

  48. Fluctuation Analysis • Background from wavelet analysis • Statistics, • local features • Local • fluctuations • Autocorrelation • function

  49. Autocorrelation Function and Mean Level Spacing • autocorrelation function • variance • level spacing D • selectivity • resolution S. Müller, F. Beck, D. Meuer, and A. Richter, PLB 113 (1982) 362 P.G. Hansen, B. Jonson, and A. Richter, NPA 518 (1990) 13

  50. Results and Model Predictions: A = 90, Jp = 1+ Y. Kalmykov et al., PRL 96 (2006) 012502