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Institute
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. ...
Im Rahmen dieser Arbeit wurde die Analyse von Dielektronen im Bereich niedriger Massen für zwei unterschiedliche Magnetfeldstärken des ALICE-L3-Magneten untersucht. Hierfür wurden zwei Arten von Simulationen, volle Simulationen und schnelle Simulationen, jeweils für die Magnetfeldeinstellungen 0, 2 T und 0, 5 T erstellt und verglichen. Zunächst wurde die Konsistenz der vollen und schnellen Simulationen anhand von Monte Carlo Truth Spektren überprüft. Es zeigte sich eine gute Übereinstimmung der invarianten Massenspektren mit Ausnahme der f-Resonanz, die in den schnellen Simulationen fast 3-mal höher lag. Dann wurden die vollen Simulationen der Magnetfeldeinstellung 0, 5 T mit ALICEMessdaten desselben Magnetfeldes verglichen. Hierbei zeigte sich, dass die Messdaten im Hinblick auf die Transversalimpulsverteilung der einzelnen Elektronen um einen Faktor 1, 2 bis 2 und im Hinblick auf die Transversalimpulsverteilung der Paare um einen Faktor 2 bis 2, 5 über den Simulationen lagen. Dies konnte zum Teil auf eine Kontamination durch Pionen zurückgeführt werden. Das Signal-Untergrund-Verhältnis war mit 0, 99 für die Simulationen 6-mal größer als das der Messdaten mit 0, 16. Die normierte Signifikanz der Simulationen von 0, 0044 lag 3,5-mal über dem Wert 0, 0012 der Messdaten. Für die schnellen Simulationen wurden die Effizienzen für einzelne Elektronen benötigt. Diese wurden mithilfe von Boxensimulationen erstellt. Es wurde zwischen den Elektronidentifikationsmethoden TOF optional und TOF required und den Magnetfeldstärken 0, 2 T und 0, 5 T unterschieden. Die Boxensimulationen ergaben, dass bei einem Magnetfeld von 0, 2 T insgesamt mehr Elektronen rekonstruiert und identifiziert werden konnten. Außerdem konnte die Analyse zu niedrigeren Transversalimpulsen hin ausgedehnt werden. Die schnellen Simulationen zeigten, dass eine Reduktion des Magnetfeldes von 0, 5 T auf 0, 2 T eine Erhöhung der Anzahl an gemessenen Paaren um einem Faktor 2, 0 für die Elektronidentifikation TOF optional und um einem Faktor 6, 0 für die Elektronidentifikation TOF required zur Folge hat. Die vollen Simulationen der Elektronidentifikation TOF optional ergaben nach Reduktion des Magnetfeldes eine Verbesserung des Signal-zu-Untergrund-Verhältnisses um 11% von 0, 98 auf 1, 11. Die Signifikanz konnte von 0, 0043 auf 0, 0060, d.h. um 40%, verbessert werden. Für die Elektronidentifikation TOF required erhielt man ein Signal-zu-Untergrund-Verhältnis von 16, 5 (0, q 2 T) und 19, 1 (0, 2 T). Jedoch war die normierte Signifikanz (sgn = sqrt((s exp 2)/2*B)* (1/sqrt(NEv)))) für das reduzierte Magnetfeld 100% höher und lag bei 0, 086, während sie für 0, 5 T einen Wert von 0, 0043 hatte. In der vorliegenden Arbeit konnte gezeigt werden, dass eine Reduktion der Magnetfeldstärke des ALICE-L3-Magneten von 0, 5 T auf 0, 2 T zu Verbesserungen in der Messung von Elektron-Positron-Paaren führt. Als Fazit kann angenommen werden, dass eine Datennahme bei einem reduzierten Magnetfeld von 0, 2 T sinnvoll erscheint.
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. ...
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.
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.
Detailed knowledge of reaction mechanisms is key to understanding chemical, biological, and biophysical processes. For many reasons, it is desirable to comprehend how a reaction proceeds and what influences the reaction rate and its products.
In biophysics, reaction mechanisms provide insight into enzyme and protein function, the reason why they are so efficient, and what determines their reaction rates. They also reveal the relationship between the function of a protein and its structure and dynamics.
In chemistry, reaction mechanisms are able to explain side products, solvent effects, and the stereochemistry of a product. They are also the basis for potentially optimizing reactions with respect to yield, enhancing the stereoselectivity, or for modifying reactions in order to obtain other related products.
A key step to investigate reaction mechanisms is the identification and characterization of intermediates, which may be reactive, short-lived, and therefore only weakly populated. Nowadays, the structures of those can in most cases only be hypothesized based on products, side products, and isolable intermediates, because intermediates with a life time of less than a few microseconds are not accessible with the commonly used techniques for structure determination such as X-ray crystallography and nuclear magnetic resonance (NMR) spectroscopy.
In this thesis, two-dimensional infrared (2D-IR) spectroscopy is shown to be a powerful complement to the existing techniques for structure determination in solution. 2D-IR spectroscopy uses a femtosecond laser setup to investigate interactions between vibrations - analogous to 2D-NMR, which investigates the interactions between spins. Its ultrafast time resolution makes 2D-IR spectroscopy particularly well suited for the two topics investigated in this thesis: Structure Determination of Reactive Intermediates and Conformational Dynamics of Proteins.
Structure Determination of Reactive Intermediates: The focus of this thesis is using polarization-dependent 2D-IR (P2D-IR) spectroscopy for structure determination of N-crotonyloxazolidinone (referred to as 1), a small organic compound with a chiral oxazolidinone, known as Evans auxiliary, and its reactive complexes with the Lewis acids SnCl4 and Mg(ClO4)2. Chiral oxazolidinones in combination with Lewis acids have frequently been used in stereoselective synthesis for over 30 years. Nevertheless, the detailed mechanisms are in many cases xvi ABSTRACT still mere hypotheses and have not yet been experimentally proven. By accurately measuring the angles between the transition dipole moments in the molecules using an optimized P2D-IR setup and comparing the results to DFT calculations, the conformation of 1 and the conformation and coordination of the main complexes with SnCl4 and Mg(ClO4)2 are unequivocally identified and analyzed in depth. Structural details, such as a slight twist in the solution structure of 1, are detected using P2D-IR spectroscopy; these cannot be inferred from NMR spectroscopy or DFT calculations. In addition to the main Lewis acid complexes, complexes in low concentration are detected and tentatively assigned to different conformations and complexation geometries. The knowledge of those structures is essential for rationalizing the observed stereoselectivities. Additionally, a method is introduced that enables structure determination of molecules in complex mixtures and even in the presence of molecules with similar spectral properties and in high concentration. This work sets the stage for future studies of other substrate-catalyst complexes and reaction intermediates for which the structure determination has not been possible to date.
Conformational Dynamics of Proteins: Exchange 2D-IR spectroscopy allows the investigation of fast dynamics without disturbing the equilibrium of the exchanging species. It is therefore well suited to investigate fast dynamics of proteins and to reveal the speed limit of those. The temperature dependence of the conformational dynamics between the myoglobin substates A1 and A3 in equilibrium is analyzed. The various substates of myoglobin can be detected with FTIR spectroscopy, if carbon monoxide is bound to the heme. From previous studies it is known that the exchange rates at room temperature are in the picosecond time range, well suited to be investigated by 2D-IR spectroscopy. In the temperature range between 0 °C and 40 °C only a weak temperature dependence of the exchange rate in the myoglobin mutant L29I is observed in the present study. The exchange rate approximately doubles from 15 ns-1 at 0 °C to 31 ns-1 at 40 °C. It turned out that the conformational dynamics correlates linearly with the solvent viscosity, which itself is temperature dependent. Comparing our results to measurements at cryogenic temperatures, the linear relation between exchange time constant for this process and the viscosity is shown for the temperature range between -100 °C and 40 °C (corresponding to a viscosity change of 14 orders of magnitude). Thus, it is proven that the dynamics of the conformational switching are mainly determined by solvent dynamics, i.e., the protein dynamics are slaved to the solvent dynamics. This is the first time slaving is observed for such fast processes (in the picosecond time range). The observation implies a long-range structural rearrangement between the myoglobin substates A1 and A3. In addition, the exchange for other mutants and wild type myoglobin is analyzed qualitatively and found to agree with the conclusions drawn from L29I myoglobin.
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.
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. ...
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.