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Institute
- Physik (60) (remove)
In the next years the Facility for Antiproton and Ion Research FAIR will be constructed at the GSI Helmholtzzentrum fur Schwerionenforschung in Darmstadt, Germany. This new accelerator complex will allow for unprecedented and pathbreaking research in hadronic, nuclear, and atomic physics as well as in applied sciences. This manuscript will discuss some of these research opportunities, with a focus on few-body physics.
This work reports on the study of the projectile x-ray emission in relativistic ion-atom collisions. Excitation of K-shell in He-like uranium ions, electron capture into H-like uranium ions and Simultaneous ionization and excitation of initially He-like uranium ions have been studied using the experimental storage ring at GSI. Information about the population of the excited states for the H- and He-like uranium ions, can be obtained by measuring the angular distribution of the decay radiation. Since the Ly_alpha2 transition is isotropic, the intensities of the Ly_alpha1 and K_alpha transitions were normalized to the Ly_alpha2 line. For the K_alpha1 and K_alpha2 transitions originating from the excitation of the He-like uranium ions, no alignment was observed. In contrast, the Ly_alpha1 radiation from the simultaneous ionization-excitation process of the He-like uranium ions shows a clear alignment. It is shown that the alignment of Ly_alpha1 was obtained by the Alignment parameter A_20. The experimental value leads to the inclusion of a magnetic term in the interaction potential. It is interesting to note that in the case of the Ly_alpha1 emission the small M2 contribution added coherently to the E1 transition amplitudes enhances the anisotropy. The capture process of target electrons into the highly-charged heavy ions was studied using H-like uranium ions at an incident energy of 220 MeV/u, impinging on N2 gas-target. It was shown that, the strongly aligned electrons captured in 2p3/2 level will couple with the available 1s1/2 electron which shows no initial directional preference. The magnetic sub-state population of the 2p3/2 electron will be redistributed according to the coupling rules to the magnetic sub-states of the relevant two-electron states. Consequently, the 1^P1 and 3^P2 states are corresponding to the the strongly aligned 2p3/2 state. This leads to the large anisotropy in the corresponding individual ground state transitions contributing to the K_alpha1 emission. Due to the fact that the 1^P1 --> 1^S0 and 3^P2 --> 1^S0 transitions are experimentally not resolved, a more detailed analysis of the angular dependence of the K_alpha1 radiation is required. From the K_alpha1/K_alpha2 ratio, the current results show that the incoherent addition of the E1 and M2 transition components yield to an almost isotropic emission of the total K_alpha1. In contrast to the radiative electron capture, the experimental results for the K-shell single excitation of He-like uranium ions indicate that only the 1^P1 level contributes to the K_alpha1 transition. For this case, the anisotropy parameter beta_20 was found to be -0.20 + 0.03 which is similar to that one calculated for pure E1 transition. This work also reports on the study of a two-electron process: the simultaneous ionization and excitation occurring in relativistic collisions of heavy highly-charged ions with gaseous targets. The investigation was performed on He-like uranium ions impinging upon xenon gas-target at an incident energy of 220 MeV/u. The measurements have been performed at the ESR gas-target using atomic xenon with a typical area density of 10^12 particles/cm^2. In contrast to the solid state target, the use of gas target offers the advantage of clear separation of the one step two-electron process due to the fact that the probability of two consecutive collision in such thin targets is negligible and the double step processes can be excluded. During the process of simultaneous ionization and excitation in He-like uranium ions, one of the ground-state electrons is promoted into the continuum and the other into the L-subshell states of the projectile. To select this process, the Lyman-series radiation has been measured at various observation angles in coincidence with up-charged projectiles (U^91+). From the yields of the Ly_alpha1 and Ly_alpha2 projectile radiation, the relative cross section for the process of simultaneous ionization and excitation was directly determined. The angle dependent measurement of the radiation yields provide information about the angular distributions of the emitted radiation and permits the determination of the alignment parameter A_{20}. This parameter gives information on the level population and the collision impact parameter. The present results (b^exp = 810 fm) show that the simultaneous ionization and excitation is a process which occurs at small impact parameter.
The HADES (High Acceptance DiElectron Spectrometer) is an experimental
apparatus installed at the heavy-ion synchrotron SIS-18 at GSI, Darmstadt.
The main physics motivation of the HADES experiment is the measurement
of e+e− pairs in the invariant-mass range up to 1 GeV/c2 in heavy-ion collisions
as well as in pion and proton-induced reactions.
The HADES physics program is focused on in-medium properties of the light
vector mesons ρ(770), ω(783) and φ(1020), which decay with a small branching
ratio into dileptons. Dileptons are penetrating probes which allow to study
the in-medium properties of hadrons. However, in heavy-ion collisions, the
measurement of such lepton pairs is difficult because they are rare and have a
very large combinatorial background.
Recently, HADES has been upgraded with new detectors and new electronics
in order to handle higher intensity beams and reactions with heavy nuclei up
to Au.
HADES will continue for a few more years its rich physics program at its
current place at SIS-18 and then move to the upcoming international Facility
for Antiproton and Ion Research (FAIR) accelerator complex. In this context
the physics results presented in this work are important prerequisites for the investigation
of in-medium vector meson properties in p + A and A+A collisions.
This work consists of five chapters. The first chapter introduces the physics
motivation and a review of recent physics results. In the second chapter, the
HADES spectrometer is described and its sub-detectors are presented. Chapter
three deals with the issue of lepton identification and the reconstruction of
the dielectron spectra in p + p collisions is presented. Here, two reactions
are characterized: inclusive and exclusive dilepton production reactions. From
the spectra obtained, the corresponding cross sections are presented with the
respective statistical and systematical errors. A comparison with theoretical
models is included as well. Conclusions are given in chapter four.
The final part of this work is dedicated to the HADES upgrade, whose goal
is among others the achievement of a reliable and fast data acquisition of the
Multiwire Drift Chambers (MDCs). Chapter five presents my contribution to
this successful project during the three years of my stay at GSI.
This thesis investigates the development of early cognition in infancy using neural network models. Fundamental events in visual perception such as caused motion, occlusion, object permanence, tracking of moving objects behind occluders, object unity perception and sequence learning are modeled in a unifying computational framework while staying close to experimental data in developmental psychology of infancy. In the first project, the development of causality and occlusion perception in infancy is modeled using a simple, three-layered, recurrent network trained with error backpropagation to predict future inputs (Elman network). The model unifies two infant studies on causality and occlusion perception. Subsequently, in the second project, the established framework is extended to a larger prediction network that models the development of object unity, object permanence and occlusion perception in infancy. It is shown that these different phenomena can be unified into a single theoretical framework thereby explaining experimental data from 14 infant studies. The framework shows that these developmental phenomena can be explained by accurately representing and predicting statistical regularities in the visual environment. The models assume (1) different neuronal populations processing different motion directions of visual stimuli in the visual cortex of the newborn infant which are supported by neuroscientific evidence and (2) available learning algorithms that are guided by the goal of predicting future events. Specifically, the models demonstrate that no innate force notions, motion analysis modules, common motion detectors, specific perceptual rules or abilities to "reason" about entities which have been widely postulated in the developmental literature are necessary for the explanation of the discussed phenomena. Since the prediction of future events turned out to be fruitful for theoretical explanation of various developmental phenomena and a guideline for learning in infancy, the third model addresses the development of visual expectations themselves. A self-organising, fully recurrent neural network model that forms internal representations of input sequences and maps them onto eye movements is proposed. The reinforcement learning architecture (RLA) of the model learns to perform anticipatory eye movements as observed in a range of infant studies. The model suggests that the goal of maximizing the looking time at interesting stimuli guides infants' looking behavior thereby explaining the occurrence and development of anticipatory eye movements and reaction times. In contrast to classical neural network modelling approaches in the developmental literature, the model uses local learning rules and contains several biologically plausible elements like excitatory and inhibitory spiking neurons, spike-timing dependent plasticity (STDP), intrinsic plasticity (IP) and synaptic scaling. It is also novel from the technical point of view as it uses a dynamic recurrent reservoir shaped by various plasticity mechanisms and combines it with reinforcement learning. The model accounts for twelve experimental studies and predicts among others anticipatory behavior for arbitrary sequences and facilitated reacquisition of already learned sequences. All models emphasize the development of the perception of the discussed phenomena thereby addressing the questions of how and why this developmental change takes place - questions that are difficult to be assessed experimentally. Despite the diversity of the discussed phenomena all three projects rely on the same principle: the prediction of future events. This principle suggests that cognitive development in infancy may largely be guided by building internal models and representations of the visual environment and using those models to predict its future development.
This dissertation connects two independent fields of theoretical neuroscience: on the one hand, the self-organization of topographic connectivity patterns, and on the other hand, invariant object recognition, that is the recognition of objects independently of their various possible retinal representations (for example due to translations or scalings). The topographic representation is used in the presented approach, as a coordinate system, which then allows for the implementation of invariance transformations. Hence this study shows, that it is possible that the brain self-organizes before birth, so that it is able to invariantly recognize objects immediately after birth. Besides the core hypothesis that links prenatal work with object recognition, advancements in both fields themselves are also presented. In the beginning of the thesis, a novel analytically solvable probabilistic generative model for topographic maps is introduced. And at the end of the thesis, a model that integrates classical feature-based ideas with the normalization-based approach is presented. This bilinear model makes use of sparseness as well as slowness to implement "optimal" topographic representations. It is therefore a good candidate for hierarchical processing in the brain and for future research.
Lattice Yang-Mills theories at finite temperature can be mapped onto effective 3d spin systems, thus facilitating their numerical investigation. Using strong-coupling expansions we derive effective actions for Polyakov loops in the SU(2) and SU(3) cases and investigate the effect of higher order corrections. Once a formulation is obtained which allows for Monte Carlo analysis, the nature of the phase transition in both classes of models is investigated numerically, and the results are then used to predict – with an accuracy within a few percent – the deconfinement point in the original 4d Yang-Mills pure gauge theories, for a series of values of Nt at once.
Starting from a classical picture of shear viscosity we construct a steady velocity gradient in the partonic cascade BAMPS. Using the Navier-Stokes-equation we calculate the shear viscosity coefficient. For elastic isotropic scatterings we find a very good agreement with the analytic values. For both elastic and inelastic scatterings with pQCD cross sections we find good agreement with previously published calculations.
Within this thesis, an experimental study of the photo double ionization (PDI) and the simultaneous ionization-excitation is performed for lithium in different initial states Li (1s22l) (l = s, p). The excess energy of the linearly polarized VUV-light is between 4 and 12 eV above the PDI-threshold. Three forefront technologies are combined: a magneto-optical trap (MOT) for lithium generating an ultra-cold and, by means of optical pumping, a state-prepared target; a reaction microscope (ReMi), enabling the momentum resolved detection of all reaction fragments with high-resolution and the free-electron laser in Hamburg (FLASH), providing an unprecedented brilliant photon beam at favourable time structure to access small cross sections. Close to threshold the total as well as differential PDI cross sections are observed to critically depend on the excitation level and the symmetry of the initial state. For the excited state Li (1s22p) the PDI dynamics strongly depends on the alignment of the 2p-orbital with respect to the VUV-light polarization and, thus, from the population of the magnetic substates (mp = 0, ±1). This alignment sensitivity decreases for increasing excess energy and is completely absent for ionization-excitation. Time-dependent close-coupling calculations are able to reproduce the experimental total cross sections with deviations of at most 30%. All the experimental observations can be consistently understood in terms of the long range electron correlation among the continuum electrons which gives rise to their preferential back-to-back emission. This alignment effect, which is observed here for the first time, allows controlling the PDI dynamics through a purely geometrical modification of the target initial state without changing its internal energy.
The mass-dependent structure of the composite nucleus is shown based on three-dimensional timedependent Hartree-Fock calculations with Skyrme interactions (SLy4d and SkM*). One remarkable result is that the isovector monopole excitation dominantly appears for collisions of heavy nuclei, and the isovector dipole excitation for those of light ones. Such a difference found in the dynamical structure of composite nucleus plays a role in the equilibration of charge.
A basic introduction to RFQs has been given in the first part of this thesis. The principle and the main ideas of the RFQ have been described and a small summary of different resonator concepts has been given. Two different strategies of designing RFQs have been introduced. The analytic description of the electric fields inside the quadrupole channel has been derived and the limitation of these approaches were shown. The main work of this thesis was the implementation and analysis of a Multigrid Poisson solver to describe the potential and electric field of RFQs which are needed to simulate the particle dynamics accurately. The main two ingredients of a Multigrid Poisson solver are the ability of a Gauß-Seidel iteration method to smooth the error of an approximation within a few iteration steps and the coarse grid principle. The smoothing corresponds to a damping of the high frequency components of the error. After the smoothing, the error term can well be approximated on a coarser grid in which the low frequency components of the error on the fine grid are converted to high frequency errors on the coarse grid which can be damped further with the same Gauß-Seidel method. After implementation, the multigrid Poisson solver was analyzed using two different type of test problems: with and without a charge density. After illustrating the results of the multigrid Poisson solver, a comparison to the field of the old multipole expansion method was made. The multipole expansion method is an accurate representation of the field within the minimum aperture, as limited by cylindrical symmetry. Within these limitations the multigrid Poisson solver and the multipole expansion method agree well. Beyond the limitation the two method give different fields. It was shown that particles leave the region in which the multipole expansion method gives correct fields and that the transmission is affected therefrom as well as the single particle dynamic. The multigridPoisson solver also gives a more realistic description of the field in the beginning of the RFQ, because it takes the tank wall into account, and this effect is shown as well. Closing the analysis of the external field, the transmission and fraction of accelerated particles of the set of 12 RFQs for the two different methods were shown. For RFQs with small apertures and big modulations the two different method give different values for the transmission due to the limitation of the multipole expansion method. The internal space charge fields without images was analyzed at the level of single particle dynamic and compared to the well known SCHEFF routine from LANL, showing major differences for the analyzed particle. For comparing influences on the transmissions of the set of 12 RFQs a third space charge routine (PICNIC) was considered as well. The basic shape of the transmission curve was the same independent of space charge routines, but the absolute values differ a little from routine to routine, with SCHEFF about 2% lower than the other routines. The multigrid Poisson solver and PICNIC agree quite well (less than 1%), but PICNIC has an extremely long running time. The major advantage of the multigrid Poisson solver in calculating space charge effects compared to the other two routines used here is that the Poisson solver can take the effect of image charges on the electrodes into account by just changing the boundaries to have the shape of the vanes whereas all other settings remain unchanged. It was demonstrated that the effect of image charges on the vanes on the space charge field is very big in the region close to the electrodes. Particles in that region will see a stronger transversely defocusing force than without images. The result is that the transmission decreases by as much as 10% which is considerably more than determined by other (inexact) routines before. This is an important result, because knowing about the big effect of image charges on the electrodes it allows it to taken into account while designing the RFQ to increase the performance of the machine. It is also an important factor in resolving the traditional difference observed between the transmission of actual RFQs and the transmission predicted by earlier simulations. In the last chapter of this thesis some experimental work on the MAFF (Munich Accelerator for Fission Fragments) IH-RFQ is described. The machine was assembled in Frankfurt and a beam test stand was built. The shunt impedance of the structure was measured using different techniques, the output energy of the structure were measured and finally its transmission was determined and compared to the beam dynamics simulations of the RFQ. Unfortunately, the transmission measurements were done without exact knowledge of the beam’s emittance. So the comparison to the simulation is somewhat rough, but with a reasonable guess of the emittance a good comparison between the measurement and simulation was obtained.