SearcharxivSearch

arXiv subjects

F. Riess

Publications and source records attributed to F. Riess.

5 recordsLinked to original sources

On the mixing strength in the two lowest 0- states in 208Pb

With a resolution of 3 keV, the two lowest 0- states in 208Pb are identified by measurements of the reaction 207Pb(d, p) with the Muenchen Q3D magnetic spectrograph in a region where the average level spacing is 6 keV. Precise relative spectroscopic factors are determined. Matrix elements of the residual interaction among one-particle one-hole configurations in a two-level scheme are derived for the two lowest 0- states in 208Pb. The off-diagonal mixing strength is determined as 105 +-10(experimental) +-40(systematic) keV. Measurements of the reaction 208Pb(p,p') via isobaric analog resonances in 209Bi support the structure information obtained.

nucl-ex

The i11/2 f5/2 and i11/2 p3/2 neutron particle-hole multiplets in 208Pb

Inelastic proton scattering via isobaric analog resonances allows to derive rather complete information about neutron particle-hole states. We applied this method to the doubly-magic nucleus 208Pb by measuring angular distributions of 208Pb(p, p') on top of the isobaric analog resonances in 209Bi with the Q3D magnetic spectrograph at München. We identify the six states of the i11/2 f5/2 multiplet and the four states of the i11/2 p3/2 multiplet in the energy range 4.6 MeV < Ex < 5.3 MeV. Firm spin assignments for the ten states are given, some of them new. Additional measurements of the reaction 207Pb(d, p) confirm the fragmented i11/2 p1/2 multiplet.

nucl-ex

Stochastic analysis of different rough surfaces

This paper shows in detail the application of a new stochastic approach for the characterization of surface height profiles, which is based on the theory of Markov processes. With this analysis we achieve a characterization of the scale dependent complexity of surface roughness by means of a Fokker-Planck or Langevin equation, providing the complete stochastic information of multiscale joint probabilities. The method is applied to several surfaces with different properties, for the purpose of showing the utility of this method in more details. In particular we show the evidence of Markov properties, and we estimate the parameters of the Fokker-Planck equation by pure, parameter-free data analysis. The resulting Fokker-Planck equations are verified by numerical reconstruction of conditional probability density functions. The results are compared with those from the analysis of multi-affine and extended multi-affine scaling properties which is often used for surface topographies. The different surface structures analysed here show in details advantages and disadvantages of these methods.

physics.data-an

Stochastic analysis of surface roughness

For the characterization of surface height profiles we present a new stochastic approach which is based on the theory of Markov processes. With this analysis we achieve a characterization of the complexity of the surface roughness by means of a Fokker-Planck or Langevin equation, providing the complete stochastic information of multiscale joint probabilities. The method was applied to different road surface profiles which were measured with high resolution. Evidence of Markov properties is shown. Estimations for the parameters of the Fokker-Planck equation are based on pure, parameter free data analysis.

physics.data-an