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Institute
- Physik (223)
- MPI für Biophysik (1)
In this thesis, various aspects on the theoretical description of ultracold bosonic atoms in optical lattices are investigated. After giving a brief introduction to the fundamental concepts of BECs, atomic physics, interatomic interactions and experimental procedures in chapter (1), we derive the Bose-Hubbard model from first principles in chapter (2). In this chapter, we also introduce and discuss a technique to efficiently determine Wannier states, which, in contrast to current techniques, can also be extended to inhomogeneous systems. This technique is later extended to higher dimensional, non-separable lattices in chapter (5). The many-body physics and phases of the Bose-Hubbard is shortly presented in chapter (3) in conjunction with Gutzwiller mean-field theory, and the recently devised projection operator approach. We then return to the derivation of an improved microscopic many-body Hamiltonian, which contains higher band contributions in the presence of interactions in chapter (4). We then move on to many-particle theory. To demonstrate the conceptual relations required in the following chapter, we derive Bogoliubov theory in chapter (5.3.4) in three different ways and discuss the connections. Furthermore, this derivation goes beyond the usual version discussed in most textbooks and papers, as it accounts for the fact, that the quasi-particle Hamiltonian is not diagonalizable in the condensate and the eigenvectors have to be completed by additional vectors to form a basis. This leads to a qualitatively different quasi-particle Hamiltonian and more intricate transformation relations as a result. In the following two chapters (7, 8), we derive an extended quasi-particle theory, which goes beyond Bogoliubov theory and is not restricted to weak interactions or a large condensate fraction. This quasi-particle theory naturally contains additional modes, such as the amplitude mode in the strongly interacting condensate. Bragg spectroscopy, a momentum-resolved spectroscopic technique, is introduced and used for the first experimental detection of the amplitude mode at finite quasi-momentum in chapter (9). The closely related lattice modulation spectroscopy is discussed in chapter (10). The results of a time-dependent simulation agree with experimental data, suggesting that also the amplitude mode, and not the sound mode, was probed in these experiments. In chapter (11) the dynamics of strongly interacting bosons far from equilibrium in inhomogeneous potentials is explored. We introduce a procedure that, in conjunction with the collapse and revival of the condensate, can be used to create exotic condensates, while particularly focusing on the case of a quadratic trapping potential. Finally, in chapter (12), we turn towards the physics of disordered systems derive and discuss in detail the stochastic mean-field theory for the disordered Bose-Hubbard model.
The study of systems whose properties are governed by electronic correlations is a corner stone of modern solid-state physics. Often, such systems feature unique and distinct properties like Mott metal-insulator transitions, rich phase diagrams, and high sensitivity to subtle changes in the applied conditions. Whereas the standard approach to electronic structure calculations, density functional theory (DFT), is able to address the complexity of real-world materials but is known to have serious limitations in the description of correlations, the dynamical mean-field theory (DMFT) has become an established method for the treatment of correlated fermions, first on the level of minimal models and later in combination with DFT, termed LDA+DMFT.
This thesis presents theoretical calculations on different materials exhibiting correlated physics, where we aim at covering a range in terms of systems --from rather weakly correlated to strongy correlated-- as well as in terms of methods, from DFT calculations to combined LDA+DMFT calculations. We begin with a study on a selection of iron pnictides, a recently discovered family of high-temperature superconductors with varying degree of correlation strength, and show that their magnetic and optical properties can be assessed to some degree within DFT, despite the correlated nature of these systems. Next, extending our analysis to the inclusion of correlations in the framework of LDA+DMFT, we discuss the electronic structure of the iron pnictide LiFeAs which we find to be well described by Fermi liquid theory with regard to many of its properties, yet we see distinct changes in its Fermi surface upon inclusion of correlations. We continue the study of low-energy properties and specifically Fermi surfaces on two more iron pnictides, LaFePO and LiFeP, and predict a topology change of their Fermi surfaces due to the effect of correlations, with possible implications for their superconducting properties. In our last study, we close the circle by presenting LDA+DMFT calculations on an organic molecular crystal on the verge of a Mott metal-insulator transition; there, we find the spectral and optical properties to display signatures of strong electronic correlations beyond Fermi liquid theory.
With the increasing energies and intensities of heavy-ion accelerator facilities, the problem of an excessive activation of the accelerator components caused by beam losses becomes more and more important. Numerical experiments using Monte Carlo transport codes are performed in order to assess the levels of activation. The heavy-ion versions of the codes were released approximately a decade ago, therefore the verification is needed to be sure that they give reasonable results. Present work is focused on obtaining the experimental data on activation of the targets by heavy-ion beams. Several experiments were performed at GSI Helmholtzzentrum für Schwerionenforschung. The interaction of nitrogen, argon and uranium beams with aluminum targets, as well as interaction of nitrogen and argon beams with copper targets was studied. After the irradiation of the targets by different ion beams from the SIS18 synchrotron at GSI, the γ-spectroscopy analysis was done: the γ-spectra of the residual activity were measured, the radioactive nuclides were identified, their amount and depth distribution were detected. The obtained experimental results were compared with the results of the Monte Carlo simulations using FLUKA, MARS and SHIELD. The discrepancies and agreements between experiment and simulations are pointed out. The origin of discrepancies is discussed. Obtained results allow for a better verification of the Monte Carlo transport codes, and also provide information for their further development. The necessity of the activation studies for accelerator applications is discussed. The limits of applicability of the heavy-ion beam-loss criteria were studied using the FLUKA code. FLUKA-simulations were done to determine the most preferable from the radiation protection point of view materials for use in accelerator components.
In dieser Arbeit wurden Verfahren zur Identifikation hirnelektrischer Aktivität mit Zellularen Nichtlinearen Netzwerken (CNN), im Besonderen Reaktions-Diffusions-Netzwerken, entwickelt und untersucht. Mit Hilfe der eingeführten Methoden wurden Langzeitaufzeichnungen hirnelektrischer Aktivität bei Epilepsie analysiert und mittels eines automatisierten Verfahrens ermittelt, inwieweit sich mögliche Voranfallszustände vom anfallsfreien Zustand im statistischen Sinne trennen lassen.
Zunächst wurde ein Überblick über CNN gegeben und deren Beschreibung durch Systeme gekoppelter Differentialgleichungen dargestellt. Weiterhin wurden die Möglichkeiten der Informationsverarbeitung mit CNN durch Ausnutzung von Gleichgewichtszuständen oder der vollständigen raum-zeitlichen Dynamik der Netzwerke diskutiert. Zusätzlich wurde die Klasse der Reaktions-Diffusions-Netzwerke (RD-CNN) eingeführt. Für die Repräsentation der hierbei benötigten weitgehend allgemeinen nichtlinearen Zellkopplungsvorschriften wurden polynomiale Gewichtsfunktionen vorgeschlagen. Mit einer Darstellung der Theorie der Lokalen Aktivität wurden notwendige Bedingungen für emergentes Verhalten in RD-CNN angegeben. Die statistische Bewertung von Vorhersagemodellen wurde aus theoretischer Sicht beleuchtet. Mit der Receiver Operating Characteristic (ROC) wurde eine Analysemethode zur Beurteilung der Vorhersagekraft des zeitlichen Verlaufs von Kenngrößen bezüglich bevorstehender epileptischer Anfälle vorgestellt.
Als nächstes wurden Überlegungen zur numerischen Simulation von CNN und deren flexible und erweiterbare programmtechnische Umsetzung entwickelt. Die daraus resultierende und im Rahmen dieser Arbeit entstandene objektorientierte Simulationsumgebung FORCE++ wurde konzeptionell und im Hinblick auf die Softwarearchitektur vorgestellt.
Die Verfahren zur numerischen Simulation wurden auf die Problemstellung der Systemidentifikation mit CNN angewandt. Dazu wurden Netzwerke derart bestimmt, dass deren Zellausgangswerte entsprechende Signalwerte des beobachteten, zu identifizierenden Systems approximieren.
Da die Parameter der zu bestimmenden CNN im vorliegenden Fall der Untersuchung hirnelektrischer Aktivität nicht bekannt sind und nicht direkt abgeleitet werden können, wurden überwachte Lernverfahren zur Bestimmung der Netzwerke eingesetzt. Hierbei wurden Lernverfahren verschiedener Klassen für die Identifikation mit CNN mit polynomialen Gewichtsfunktionen untersucht. Die Leistungsfähigkeit des vorgestellten Identifikationsverfahrens wurde anhand bekannter Systeme einer genauen Betrachtung unterzogen. Dabei wurde festgestellt, dass die betrachteten Systeme mit hoher Genauigkeit durch CNN repräsentiert werden konnten. Exemplarisch wurde das Parametergebiet lokaler Aktivität für ein RD-CNN berechnet und durch numerische Simulationen die Ausbildung von Mustern innerhalb des Netzwerkes nachgewiesen.
Nach einem einleitenden Überblick über die medizinischen Hintergründe von Epilepsie und der Erfassung hirnelektrischer Aktivität wurde eine vergleichende Übersicht über den Stand veröffentlichter Studien zur Vorhersage epileptischer Anfälle gegeben. Für die Anwendung des hier vorgestellten Identifikationsverfahrens zur Analyse hirnelektrischer Aktivität wurde zunächst die Genauigkeit der Approximation kurzer, als quasi-stationär betrachteter Abschnitte, von EEG-Signalen untersucht. Durch gezielte Erhöhung der Komplexität herangezogener Netzwerke konnte hier die Genauigkeit der Repräsentation von EEG-Signalverläufen deutlich verbessert werden. Dabei wurde zudem die Verallgemeinerungsfähigkeit der ermittelten Netzwerke untersucht, wobei festgestellt wurde, dass auch solche Signalwerte mit guter Genauigkeit approximiert werden, die nicht im Identifikationsverfahren durch die überwachte Parameteroptimierung berücksichtigt waren. Um speziell den Einfluss der Information aus der Korrelation benachbarter Elektrodensignale zu untersuchen, wurde ein Verfahren zur multivariaten Prädiktion mit Discrete Time CNN (DT-CNN) entwickelt.
Hierbei werden durch ein CNN Signalwerte der betrachteten Elektrode aus vergangenen, korrelierten Signalwerten von Nachbarelektroden geschätzt. Für diese Aufgabenstellung konnte eine Methode zur Bestimmung der Netzwerkparameter im optimalen Sinn, alleine aus den statistischen Eigenschaften der Elektrodensignale angegeben werden. Dadurch gelang eine erhebliche Reduzierung der Rechenkomplexität, die eine umfangreiche Untersuchung intrakranieller Langzeitableitungen ermöglichte.
Zur Analyse von Langzeitaufzeichnungen mit dem RD-CNN Identifikationsverfahren, wurden die numerischen Berechnungen zur Simulation von CNN mit FORCE++ auf einem durchsatz-orientierten Hochleistungs-Rechnernetzwerk durchgeführt. Mit den so gewonnen Ergebnissen konnten vergleichende Analysen vorgenommen werden. Zudem wurden Untersuchungen zum Vorliegen lokaler Aktivität in den ermittelten RD-CNN durchgeführt.
Die bei den beschriebenen Verfahren extrahierten Kenngrößen hirnelektrischer Aktivität wurden durch ein automatisiertes Verfahren auf ihre Vorhersagekraft für epileptische Anfälle bewertet. Dabei wurde untersucht, inwieweit der anfallsfreie Zustand und ein angenommener Voranfallszustand durch die jeweils betrachtete Kenngröße im statistischen Sinn diskriminiert werden kann. Durch parallele Analysen mit Anfallszeitsurrogaten wurden hierzu ergänzende Signifikanztests durchgeführt.
Nach Auswertung von mehrtägigen Hirnstromsignalen verschiedener Patienten konnte festgestellt werden, dass mit den in dieser Arbeit entwickelten Verfahren Kenngrößen hirnelektrischer Aktivität bestimmt werden konnten, welche offenbar die Identifikation potentieller Voranfallszustände ermöglichen.
Auch wenn für eine breite medizinische Anwendung die Spezifität und Sensitivität noch weiter verbessert werden muss, so können doch die erzielten Ergebnisse einen wesentlichen Schritt hin zu einer implantierbaren, CNN-basierten Plattform zur Erkennung und Verhinderung epileptischer Anfälle darstellen. Die Berechnungen für das Identifikationsverfahren mit RD-CNN könnten dabei durch zukünftige, spezialisierte schaltungstechnische Realisierungen für mehrschichtige CNN mit polynomialen Gewichtsfunktionen eine erhebliche Beschleunigung erfahren.
A new era in experimental nuclear physics has begun with the start-up of the Large Hadron Collider at CERN and its dedicated heavy-ion detector system ALICE. Measuring the highest energy density ever produced in nucleus-nucleus collisions, the detector has been designed to study the properties of the created hot and dense medium, assumed to be a Quark-Gluon Plasma.
Comprised of 18 high granularity sub-detectors, ALICE delivers data from a few million electronic channels of proton-proton and heavy-ion collisions.
The produced data volume can reach up to 26 GByte/s for central Pb–Pb
collisions at design luminosity of L = 1027 cm−2 s−1 , challenging not only the data storage, but also the physics analysis. A High-Level Trigger (HLT) has been built and commissioned to reduce that amount of data to a storable value prior to archiving with the means of data filtering and compression without the loss of physics information. Implemented as a large high performance compute cluster, the HLT is able to perform a full reconstruction of all events at the time of data-taking, which allows to trigger, based on the information of a complete event. Rare physics probes, with high transverse momentum, can be identified and selected to enhance the overall physics reach of the experiment.
The commissioning of the HLT is at the center of this thesis. Being deeply embedded in the ALICE data path and, therefore, interfacing all other ALICE subsystems, this commissioning imposed not only a major challenge, but also a massive coordination effort, which was completed with the first proton-proton collisions reconstructed by the HLT. Furthermore, this thesis is completed with the study and implementation of on-line high transverse momentum triggers.
The main purpose of the Transition Radiation Detector (TRD) located in the central barrel of ALICE (A Large Ion Collider Experiment) is electron identification for separation from pions at momenta pt > 1 GeV/c, since in this momentum range the measurements of the specific energy loss (dE/dx) of the Time Projection Chamber (TPC) is no longer sufficient. Furthermore, it provides a fast trigger for high transverse momentum charged particles (pt > 3 GeV/c) and makes a significant contribution to the optimization of the tracking of reaction products in heavy-ion collisions. Its whole setup comprises 18 supermodules out of which 13 are presently operational and mounted cylindrically around the beam axis of the Large Hadron Collider (LHC). A supermodule contains either 30 or 24 chambers, each consisting of a radiator for transition radiation creation, a drift and an amplifying region followed by the read-out electronics. In total, the TRD is an array of 522 chambers operated with about 28 m3 of a Xe-CO2 [85-15%] gas mixture. During the work of this thesis, the testing, commissioning, operation and maintenance of detector parts, the gas system and its online quality monitor, improvements on the detector control user-interface and studies about a new pre-trigger module for data read-out have been accomplished. The TRD gas system mixes, distributes and circulates the operational gas mixture through the detector. Its overall optimization has been achieved by minimizing gas leakage, surveying, controlling, maintaining and continuously improving it as well as designing and carrying out upgrades. Gas quality monitors of the type \GOOFIE" (Gas prOportional cOunter For drIfting Electrons) can be used in gaseous detectors as on-line monitors of the electron drift velocity, gain and gas properties. One of these devices has been implemented within the TRD gas system, while another one surveys the gas of the TPC. Both devices had to be adapted to the specific needs of the detectors, were under constant surveillance and control, and needed to be further developed on both hardware and software side. To improve the operation of the TRD, modifications on its DCS software (Detector Control System) used for monitoring, controlling, operating, regulating and configuring of hardware and computing devices have been carried out. The DCS is designed to enable an operator to interact with equipment through user interfaces that display the information from the system. The main focus of this work was laid on the optimization of the usability and design of the user interface. The front-end electronics of the TRD require an early start signal (\pre-trigger") from the fast forward detectors or the Time-Of-Flight detector during the running periods. The realization of a new hardware concept for the read-out of the TRD pre-trigger system has been studied and first tests were performed. This new module called PIMDDL (Pre-trigger Interface Module Detector Data Link) is meant to acquire all data necessary to simulate and predict the full pre-trigger functionality, and to verify its proper operation. Furthermore, it shall provide all functionalities of the so-called Control Box Bottom as well as keep the functionalities of the already existing PIM (Pre-trigger Interface Module) in order to combine and replace these two modules in the future.
Zellulare Nichtlineare Netzwerke bzw. Zellulare Neuronale Netzwerke, sogenannte CNN, wurden 1988 von L.O. Chua und L.Yang eingeführt und seither intensiv untersucht. Diese sind als Simulations-Software und als schaltungstechnische Realisierungen, in Hardware, verfügbar.
Als analog arbeitende Hardware Schaltungen können diese Netzwerke erhebliche Rechenleistungen erzielen.
Durch ihren Aufbau ermöglichen sie eine parallele Daten- und Signalverarbeitung.
Eine Einführung in CNN wird gegeben und das EyeRIS 1.1 Systems des Unternehmens ANAFOCUS Ltd. vorgestellt.
Das EyeRIS 1.1 System ist mit einem analog arbeitenden Focal Plane Prozessor (FPP) und einem digitalen Prozessor ausgestattet, wobei der Focal Plane Prozessor auch als Kamera zur Aufnahme von Bildern und Bildsequenzen benutzt werden kann.
Dies ermöglicht es, analoge CNN-Algorithmen zusammen mit digitalen Algorithmen auf einem System zu implementieren und so die Vorteile beider Ansätze zu nutzen. Der Datenaustausch zwischen dem analogen und digitalem Teil des EyeRIS 1.1 Systems geschieht mittels digital/analog und analog/digital Wandlung. Es werden Algorithmen auf dem EyeRIS 1.1 System untersucht und mit Ergebnissen die mittels Simulationen erzeugt wurden verglichen.
In Voruntersuchungen werden die Darstellungsgenauigkeit von Werten im analogen Teil des EyeRIS 1.1 Systems und die Verarbeitungsgeschwindigkeiten des EyeRIS 1.1 Systems untersucht.
Im Weiteren wird besonderes Augenmerk auf medizinische und technische Anwendungsgebiete gelegt werden.
Im medizinischen Anwendungsbereich wird die Implementierung von Algorithmen zur Vorhersage epileptischer Anfälle untersucht.
Hierfür wird ein evolutionär motiviertes Optimierungsverfahren entwicklet und auf dem EyeRIS 1.1-System implementiert.
Hierbei werden Simulationen durchgeführt und mit Ergebnissen, die mittels Verwendung des EyeRIS 1.1 Systems erlangt wurden, verglichen.
Ein zweites Verfahren geht die Signalanalyse für die Vorhersage auf dem EyeRIS 1.1-System mittels Mustererkennung an.
Das Mustererkennungsverfahren wird eingehend beschrieben sowie die hierbei zu beachtenden Randbedingungen erläutert.
Die Ergebnisse zeigen, daß Algorithmen zur Vorhersage von epileptischen Anfällen auf schaltungstechnichen Realisierungen von CNN implementiert werden können.
Im technischen Bereich wird die Anwendbarkeit auf die Problemstellung der Bildverarbeitung gelegt und die Möglichkeit von CNN basierten Algorithmen zur Erkennung von Prozessparametern bei Laserschweißverfahren untersucht. Ein solcher Prozessparameter ist das sogenannte Key-Hole, welches in Bildsequenzen von Laserschweißprozessen als ein Maß für die zu erwartende Qualität einer Schweißnaht herangezogen werden kann. Ein CNN basierter Algorithmus für die Erkennung solcher Key-Holes wird in dieser Arbeit vorgestellt und untersucht.
Für die Überwachung eines Laserschweißverfahrens wird der entwickelte Algorithmius und seine Funktionsweise beschrieben.
Dieser wird in Teilalgorithmen auf die analog bzw. digital arbeitenden Komponenten des EyeRIS 1.1 Systems verteilt.
Die Teilalgorithmen und die möglichen Aufteilungen und deren Laufzeitverhalten werden beschrieben und untersucht.
Die Ergebnisse der Untersuchung zeigen, daß eine Prozessüberwachung mittels CNN möglich ist und heben die Vorteile hervor, welche die Bildaufnahme und -verarbeitung mittels analoger CNN-Hardware bietet.
Eine Untersuchung des Laufzeitverhaltens auf Grafikkarten Prozessoren (GPU's) wird im Anhang vorgestellt.
Quarkonia are very promising probes to study the quark-gluon plasma. The essential baseline for measurements in heavy-ion collisions is high-precision data from proton-proton interactions. However, the basic mechanisms of quarkonium hadroproduction are still being debated. The most common models, the Color-Singlet Model, the non-relativistic QCD approach and the Color-Evaporation Model, are able to describe most of the available cross-section data, despite of their conceptual differences. New measures, such as the polarization, and data at a new energy regime are crucial to test the competing models. Another issue is an eventual interplay between the production process of a quarkonium state and the surrounding pp event. Current Monte Carlo event generators treat the hard scattering independently from the rest of the so-called underlying event. The investigation of possible correlations with the pp event might be very valuable for a detailed understanding of the production processes. ALICE ist the dedicated heavy-ion experiment at the LHC. Its design has been optimized for high-precision measurements in very high track densities and down to low transverse momenta. ALICE is composed of various different detectors at forward and at central rapidities. The most important detectors for this study are the Inner Tracking System and the Time Projection Chamber, allowing to reconstruct and identify electron candidate tracks within eta < 0.9. The Transition Radiation Detector has not been utilized at this stage of the analysis; however, it will strongly improve the particle identification and provide a dedicated trigger in the upcoming beam periods. ...
The intriguing effects of electroweak induced parity violation (PV) in molecules have yet to be observed, but experiments on molecular PV promise to provide fascinating insights. They potentially offer a novel testing ground for the low energy sector of the standard model and, in addition, a successful measurement of PV differences between the two enantiomers of a chiral molecule could promote a deeper understanding of molecular chirality, by essentially establishing a new link between particle physics and biochemistry. A key challenge in the design of such experiments is the identification of suitable molecules, which in turn requires widely applicable computational schemes for the prediction of PV experimental signals. To this end, a quasirelativistic density functional theory approach to the calculation of PV effects in nuclear magnetic resonance (NMR) spectra of chiral molecules has been developed and implemented during the course of this thesis. It includes relativistic as well as electron--correlation effects and has been used extensively in the screening of molecules possibly suited for a first observation of molecular PV. Some relevant compound classes have been identified, but none of their selected representatives are predicted to exhibit PV NMR frequency shifts that can be detected under current experimental restrictions. In order to advance the design of molecules which exhibit particularly large PV signals in experiments, systematic effects on PV NMR frequency splittings such as scaling with nuclear charge, conformational dependence and the impact of atomic substitution around the NMR active nucleus have been studied. Previously predicted scaling laws were confirmed and it was determined that the environment of the NMR active nucleus, both in terms of conformation and atomic composition, can be tuned to increase PV frequency shifts by several orders of magnitude. In addition to molecules suited for NMR experiments, a fascinating chiral actinide compound was studied with regard to PV frequency shifts in vibrational spectra. This compound displays the largest such shift ever predicted for an existing molecule, which lies well within the attainable experimental resolution. The challenge now lies in making it compatible with current experimental setups.
In der modernen Festkörperphysik spielen elektronisch stark korrelierte Systeme mit ihrem komplexen Vielteilchenverhalten eine zentrale Rolle. Insbesondere das Wechselspiel zwischen thermischen und Quantenfluktuationen in den Ladungs- und Spinfreiheitsgraden führt zur Entstehung verschiedenster neuartiger Grundzustände.
Die vorliegende Dissertation „Ultrasonic and Magnetic Investigations in frustrated Lowdimensional Spin Systems“ beschäftigt sich mit den besonderen physikalischen Eigenschaften niedrig dimensionaler Spinsysteme. Diese Materialklasse, die auch zu den stark korrelierten Systemen zählt, wird seit vielen Jahren intensiv sowohl experimentell als auch theoretisch untersucht. Auf theoretischer Seite sind die niedrigdimensionalen Spinsysteme besonders interessant, da sie als Modellsysteme die exakte Beschreibung des Grundzustandes und des Anregungsspektrums ermöglichen. Von experimenteller Seite ist es in den letzten Jahrzehnten gelungen, verschiedenste Materialklassen niedrigdimensionaler Spinsysteme zu synthetisieren.
In der vorliegenden Arbeit werden die grundlegenden Theorien und physikalischen Konzepte niedrigdimensionaler Spinsysteme diskutiert. Insbesondere auch die Spin-Phonon-Wechselwirkung dieser Materialien, die für die hier beobachteten elastischen Anomalien verantwortlich ist. Weiterhin wird auch das elastische Verhalten bei magnetischen Phasenübergängen beschrieben.
Da die Ultraschallexperimente einen Schwerpunkt dieser Arbeit bilden, wird der Versuchsaufbau zur phasenempfindlichen Detektion von Schallgeschwindigkeit und Ultraschalldämfung ausführlich beschrieben. Diese Messmethode ist ideal zur Untersuchung der Spin-Phonon Wechselwirkung geeignet.
The subject of this thesis aimed at a better understanding of the spectacular X-ray burst. The most likely astrophysical site is a very dense neutron star, which accretes H/He-rich matter from a close companion. While falling towards the neutron star, the matter is heated up and a thermonuclear runaway is ignited. The exact description of this process is dominated by the properties of a few proton-rich radioactive isotopes, which have a low interaction probability, hence a high abundance.
The topic of this thesis was therefore an investigation of the short-lived, proton-rich isotopes 31Cl and 32Ar. The Coulomb dissociation method is the modern technique of choice. Excitations with energies up to 20 MeV can be induced by the Lorentz contracted Coulomb field of a lead target. At the GSI Helmholtzzentrum für Schwerionenforschung GmbH in Darmstadt, Germany, a Ar beam was accelerated to an energy of 825 AMeV and fragmented in a beryllium target. The fragment separator was used to select the desired isotopes with a remaining energy of 650 AMeV. They were subsequently directed onto a 208 Pb target in the ALAND/LAND setup. The measurement was performed in inverse kinematics. All reaction products were detected and inclusive and exclusive measurements of the respective Coulomb dissociation cross sections were possible.
During the analysis of the experiment, it was possible to extract the energy-differential excitation spectrum of 31Cl, and to constrain astrophysically important parameters for the time-reversed 30S(p,γ)31Cl reaction. A single resonance at 0.443(37) MeV dominates the stellar reaction rate, which was also deduced and compared to previous calculations.
The integrated Coulomb dissociation cross section of this resonance was determined to 15(6) mb. The astrophysically important one- and two-proton emission channels were analyzed for 32Ar and energy-differential excitation spectra could be derived. The integrated Coulomb dissociation cross section for two proton emission were determined with two different techniques. The inclusive measurement yields a cross section of 214(29stat)(20sys) mb, whereas the exclusive reconstruction results in a cross section of 226(14stat)(23sys) mb. Both results are in very good agreement. The Coulomb dissociation cross section for the one-proton emission channel is extracted solely from the exclusive measurement and is 54(8stat)(6sys) mb.
Furthermore, the development of the Low Energy Neutron detector Array (LENA) for the upcoming R3B setup is described. The detector will be utilized in charge-exchange reactions to detect the low-energy recoil neutrons from (p,n)-type reactions. These reaction studies are of particular importance in the astrophysical context and can be used to constrain half lifes under stellar conditions. In the frame of this work, prototypes of the detector were built and successfully commissioned in several international laboratories.
The analysis was supported by detailed simulations of the detection characteristics.
In this thesis I use effective models to investigate the properties of QCD-like theories at nonzero temperature and baryon chemical potential. First I construct a PNJL model using a lattice spin model with nearestneighbor interactions for the gauge sector and four-fermion interactions for the quarks in (pseudo)real representations of the gauge group. Calculating the phase diagram in the plane of temperature and quark chemical potential in QCD with adjoint quarks, it is qualitatively confirmed that the critical temperature of the chiral phase transition is much higher than the deconfinement transition temperature. At a chemical potential equal to half of the diquark mass in the vacuum, a diquark Bose–Einstein condensation (BEC) phase transition occurs. In the two-color case, a Ginzburg–Landau expansion is used to study the tetracritical behavior around the intersection point of the deconfinement and BEC transition lines which are both of second order. A compact expression for the expectation value of the Polyakov loop in an arbitrary representation of the gauge group is obtained for any number of colors, which allows us to study Casimir scaling at both nonzero temperature and chemical potential. Subsequently I study the thermodynamics of two-color QCD (QC2D) at high temperature and/or density using ZQCD, a dimensionally reduced superrenormalizable effective theory, formulated in terms of a coarse grained Wilson line. In the absence of quarks, the theory is required to respect the Z2 center symmetry, while the effects of quarks of arbitrary masses and chemical potentials are introduced via soft Z2 breaking operators. Perturbative matching of the effective theory parameters to the full theory is carried out explicitly, and it is argued how the new theory can be used to explore the phase diagram of two-color QCD.
Thermal expansion measurements provide a sensitive tool for exploring a material's thermodynamic
properties in condensed matter physics as they provide useful information
on the electronic, magnetic and lattice properties of a material. In this thesis, thermal
expansion measurements have been carried out both at ambient-pressure and under hydrostatic
pressure conditions. From the materials point of view, the spin-liquid candidate
Kappa-(BEDT-TTF) 2 Cu 2(CN)3 has been studied extensively as a function of temperature and
magnetic field. Azurite, Cu 3 (CO 3) 2 (OH) 2 - a realization of a one-dimensional distorted
Heisenberg chain is also studied both at ambient and hydrostatic pressure to demonstrate
the proper functioning of the newly built setup "thermal expansion under pressure". ...
Seit Anbeginn der Festkörperphysik ist die Frage, warum manche Materialien metallisch sind, andere dagegen isolierend, von zentraler Bedeutung. Eine erste Erklärung wurde durch die Bändertheorie [23, 44] gegeben. Die Elektronen sind dem periodischen Potential der Rumpfatome ausgesetzt, wodurch ein Energiespektrum bestehend aus Bändern erzeugt wird und die Füllung dieser Bänder bestimmt die Leitungseigenschaften des Festkörpers. ...
Interacting ultracold gases in optical lattices: non-equilibrium dynamics and effects of disorder
(2012)
This dissertation aims at giving a theoretical description of various applications of ultracold gases. A particular focus is cast upon the dynamical evolution of bosonic condensates in non-equilibrium by means of the time-dependent Gutzwiller method. Ground state properties of strongly interacting fermionic atoms in box and speckle disordered lattices are investigated via real-space dynamical mean-field theory. ...
The miniaturization of electronics is reaching its limits. Structures necessary to build integrated circuits from semiconductors are shrinking and could reach the size of only a few atoms within the next few years. It will be at the latest at this point in time that the physics of nanostructures gains importance in our every day life. This thesis deals with the physics of quantum impurity models. All models of this class exhibit an identical structure: the simple and small impurity only has few degrees of freedom. It can be built out of a small number of atoms or a single molecule, for example. In the simplest case it can be described by a single spin degree of freedom, in many quantum impurity models, it can be treated exactly. The complexity of the description arises from its coupling to a large number of fermionic or bosonic degrees of freedom (large meaning that we have to deal with particle numbers of the order of 10^{23}). An exact treatment thus remains impossible. At the same time, physical effects which arise in quantum impurity systems often cannot be described within a perturbative theory, since multiple energy scales may play an important role. One example for such an effect is the Kondo effect, where the free magnetic moment of the impurity is screened by a "cloud" of fermionic particles of the quantum bath.
The Kondo effect is only one example for the rich physics stemming from correlation effects in many body systems. Quantum impurity models, and the oftentimes related Kondo effect, have regained the attention of experimental and theoretical physicists since the advent of quantum dots, which are sometimes also referred to as as artificial atoms. Quantum dots offer a unprecedented control and tunability of many system parameters. Hence, they constitute a nice "playground" for fundamental research, while being promising candidates for building blocks of future technological devices as well.
Recently Loss' and DiVincenzo's p roposal of a quantum computing scheme based on spins in quantum dots, increased the efforts of experimentalists to coherently manipulate and read out the spins of quantum dots one by one. In this context two topics are of paramount importance for future quantum information processing: since decoherence times have to be large enough to allow for good error correction schemes, understanding the loss of phase coherence in quantum impurity systems is a prerequisite for quantum computation in these systems. Nonequilibrium phenomena in quantum impurity systems also have to be understood, before one may gain control of manipulating quantum bits.
As a first step towards more complicated nonequilibrium situations, the reaction of a system to a quantum quench, i.e. a sudden change of external fields or other parameters of the system can be investigated. We give an introduction to a powerful numerical method used in this field of research, the numerical renormalization group method, and apply this method and its recent enhancements to various quantum impurity systems.
The main part of this thesis may be structured in the following way:
- Ferromagnetic Kondo Model,
- Spin-Dynamics in the Anisotropic Kondo and the Spin-Boson Model,
- Two Ising-coupled Spins in a Bosonic Bath,
- Decoherence in an Aharanov-Bohm Interferometer.
The study of meson production in proton-proton collisions in the energy range
up to one GeV above the production threshold provides valuable information about
the nature of the nucleon-nucleon interaction. Theoretical models describe the interaction
between nucleons via the exchange of mesons. In such models, different
mechanisms contribute to the production of the mesons in nucleon-nucleon collisions.
The measurement of total and differential production cross sections provide information
which can help in determining the magnitude of the various mechanisms.
Moreover, such cross section information serves as an input to the transport calculations
which describe e.g. the production of e+e− pairs in proton- and pion-induced
reactions as well as in heavy ion collisions.
In this thesis, the production of ω and η mesons in proton-proton collisions at 3.5
GeV beam energy was studied using the High Acceptance DiElectron Spectrometer
(HADES) installed at the Schwerionensynchrotron (SIS 18) at the Helmholtzzenturm
f¨ur Schwerionenforschung in Darmstadt.
About 80 000 ω mesons and 35 000 η mesons were reconstructed. Total production
cross sections of both mesons were determined. Furthermore, the collected statistics
allowed for extracting angular distributions of both mesons as well as performing
Dalitz plot studies.
The ω and η mesons were reconstructed via their decay into three pions (π+π−π0)
in the exclusive reaction pp −→ ppπ+π−π0. The charged particles were identified
via their characteristic energy loss, via the measurement of their time of flight and
momentum, or using kinematics.
The neutral pion was reconstructed using the missing mass method. A kinematic
fit was applied to improve the resolution and to select events in which a π0 was
produced.
The correction of measured yields for the effects of spectrometer acceptance was done
as a function of four variables (two invariant masses and two angles). Systematic
studies of the acceptance for different input distributions were performed.
The measured yields were normalized to the number of measured events of elastic
scattering. Systematic errors due to the methods of the data analysis and the
background subtraction were investigated.
Production angular distributions of ω and η mesons were measured. Both mesons
exhibit a slightly anisotropic angular distribution.
The Dalitz plot of ω meson production shows indications of resonant production.
However, the deviation of the distribution from the one expected by phase space
simulations is not large.
The Dalitz plot of η meson production shows a signal of the production via the
N(1535) resonance, The contribution of N(1535) to the production was quantified
to be about 47%. The angular distribution of η mesons does not show significant
differences between resonant and non resonant production.
The total production cross section of ω mesons in the reaction pp −→ ppω was
determined to be 106.5 ± 0.9 (stat) ± 7.9 (sys) [μb] where stat indicates statistical
error and sys indicates systematic error, while that of η mesons was determined to
be 136.9 ± 0.9 (stat) ± 10.1 (sys) [μb] in the reaction pp −→ ppη
The objective of this work is twofold. First, we explore the performance of the density functional theory (DFT) when it is applied to solids with strong electronic correlations, such as transition metal compounds. Along this direction, particular effort is put into the refinement and development of parameterization techniques for deriving effective models on a basis of DFT calculations. Second, within the framework of the DFT, we address a number of questions related to the physics of Mott insulators, such as magnetic frustration and electron-phonon coupling (Cs2CuCl4 and Cs2CuBr4), high-temperature superconductivity (BSCCO) and doping of Mott insulators (TiOCl). In the frustrated antiferromagnets Cs2CuCl4 and Cs2CuBr4, we investigate the interplay between strong electronic correlations and magnetism on one hand and electron-lattice coupling on the other as well as the effect of this interplay on the microscopic model parameters. Another object of our investigations is the oxygen-doped cuprate superconductor BSCCO, where nano-scale electronic inhomogeneities have been observed in scanning tunneling spectroscopy experiments. By means of DFT and many-body calculations, we analyze the connection between the structural and electronic inhomogeneities and the superconducting properties of BSCCO. We use the DFT and molecular dynamic simulations to explain the microscopic origin of the persisting under doping Mott insulating state in the layered compound TiOCl.
Das Antiprotonen-Experiment PANDA an der zukünftigen Beschleunigeranlage FAIR wird unter anderem Charmonium-Zustände mit einer bis dato unerreichten Genauigkeit messen können. Um dieses Ziel zu erreichen, wird eine sehr gute Teilchenidentifikationsfähigkeit verlangt. Eine gute Trennung zwischen Pionen und Kaonen wird durch den Einsatz eines Cherenkovdetektors erreicht. Die Leistungsfähigkeit eines DIRC hängt von dessen Radiatorgüte ab. Um die Qualität der Radiatorstäbe spezifizieren zu können, wurde im Rahmen dieser Doktorarbeit eine optische Messapparatur entwickelt. Dieser Aufbau erlaubt es die Transmission sowie die Oberflächenrauheit der Stäbe zu messen. Es wurden mehrere Radiatorstäbe aus synthetischem Quarzglas und Acrylglas untersucht. Die Messgenauigkeit bei hochqualitativen Stäben liegt für die Transmissionsmessung bei etwa 1 Promille und für die Rauheit bei 1-2 Angström. Die Messergebnisse bei verschiedenen Wellenlängen zeigen eine gute Übereinstimmung mit der skalaren Streutheorie, die den Zusammenhang zwischen Reflexionskoeffizienten und Rauheit beschreibt. Bei einer Strahlzeit an der GSI mit einem 2 GeV Protonenstrahl wurde ein erster Prototyp für den Barrel-DIRC mit einem Stab aus synthetischem Quarzglas als Radiator getestet. Durch Variation des Einfallswinkels und der Position des Protonenstrahls auf dem Radiator konnten Cherenkovringe eindeutig nachgewiesen werden. Zudem wurde der Cherenkovwinkel und die Einzelphotonauflösung in guter Übereinstimmung mit dem Erwartetem und der Simulation bestimmt.
Nanotechnology is a rapidly developing branch of science, which is focused on the study of phenomena at the nanometer scale, in particular related to the possibilities of matter manipulation. One of the main goals of nanotechnology is the development of controlled, reproducible, and industrially transposable nanostructured materials.
The conventional technique of thin-film growth by deposition of atoms, small atomic clusters and molecules on surfaces is the general method, which is often used in nanotechnology for production of new materials. Recent experiments show, that patterns with different morphology can be formed in the course of nanoparticles deposition process on a surface. In this context, predicting of the final architecture of the growing materials is a fundamental problem worth studying.
Another factor, which plays an important role in industrial applications of new materials, is the question of post-growth stability of deposited structures. The understanding of the post-growth relaxation processes would give a possibility to estimate the lifetime of the deposited material depending on the conditions at which the material was fabricated. Controllable post-growth manipulations with the architecture of deposited structures opens new path for engineering of nanostructured materials.
The task of this thesis is to advance understanding mechanisms of formation and post-growth evolution of nanostructured materials fabricated by atomic clusters deposition on a surface. In order to achieve this goal the following main problems were addressed:
1. The properties of isolated clusters can significantly differ from those of analogous clusters occurring on a solid surface. The difference is caused by the interaction between the cluster and the solid. Therefore, the understanding of structural and dynamical properties of an atomic cluster on a surface is a topic of intense interest from the scientific and technological point of view. In the thesis, stability, energy, and geometry of an atomic cluster on a solid surface were studied using a liquid drop approach which takes into account the cluster-solid interaction. Geometries of the deposited clusters are compared with those of isolated clusters and the differences are discussed.
2. The formation scenarios of patterns on a surface in the course of the process of cluster deposition depend strongly on the dynamics of deposited clusters. Therefore, an important step towards predicting pattern morphology is to study dynamics of a single cluster on a surface. The process of cluster diffusion on a surface was modeled with the use of classical molecular dynamics technique, and the diffusion coefficients for the silver nanoclusters were obtained from the analysis of trajectories of the clusters. The dependence of the diffusion coefficient on the system’s temperature and cluster-surface interaction was established. The results of the calculations are compared with the available experimental results for the diffusion coefficient of silver clusters on graphite surface.
3. The methods of classical molecular dynamics cannot be used for modeling the self-assembly processes of atomic clusters on a surface, because these processes occur on the minutes timescale, what would require an unachievable computer resource for the simulation. Based on the results of molecular dynamics simulations for a single cluster on a surface a Monte-Carlo based approach has been developed to describe the dynamics of the self-assembly of nanoparticles on a surface. This method accounts for the free particle diffusion on a surface, aggregation into islands and detachment from these islands. The developed method is allowed to study pattern formation of structures up to thousands nm, as well as the stability of these structures. Developed method was implemented in MBN Explorer computer package.
4. The process of the pattern formation on a surface was modeled for several different scenarios. Based on the analysis of results of simulations was suggested a criterion, which can be used to distinguish between different patterns formed on a surface, for example: between fractals or compact islands.This criteria can be used to predict the final morphology of a growing structure.
5. The post-growth evolution of patterns on a surface was also analyzed. In particular, attention in the thesis is payed to a systematical theoretical analysis of the post-growth processes occurring in nanofractals on a surface. The time evolution of fractal morphology in the course of the post-growth relaxation was analyzed, the results of these calculations were compared with experimental data available for the post-growth relaxation of silver cluster fractals on graphite substrate.
All the aforementioned problems are discussed in details in the thesis.