Confocal microscopy applied to the study of single entity fluorescence and light scattering

A sample scanning confocal optical microscope (SCOM) was designed and constructed in order to perform local measurements of fluorescence, light scattering and Raman scattering. This instrument allows to measure time resolved fluorescence, Raman scattering and light scattering from the same diffraction limited spot. Fluorescence from single molecules and light scattering from metallic nanoparticles can be studied. First, the electric field distribution in the focus of the SCOM was modelled. This enables the design of illumination modes for different purposes, such as the determination of the three-dimensional orientation of single chromophores. Second, a method for the calculation of the de-excitation rates of a chromophore was presented. This permits to compare different detection schemes and experimental geometries in order to optimize the collection of fluorescence photons. Both methods were combined to calculate the SCOM fluorescence signal of a chromophore in a general layered system. The fluorescence excitation and emission of single molecules through a thin gold film was investigated experimentally and modelled. It was demonstrated that, due to the mediation of surface plasmons, single molecule fluorescence near a thin gold film can be excited and detected with an epi-illumination scheme through the film. Single molecule fluorescence as close as 15nm to the gold film was studied in this manner. The fluorescence dynamics (fluorescence blinking and excited state lifetime) of single molecules was studied in the presence and in the absence of a nearby gold film in order to investigate the influence of the metal on the electronic transition rates. The trace-histogram and the autocorrelation methods for the analysis of single molecule fluorescence blinking were presented and compared via the analysis of Monte-Carlo simulated data. The nearby gold influences the total decay rate in agreement to theory. The gold presence produced no influence on the ISC rate from the excited state to the triplet but increased by a factor of 2 the transition rate from the triplet to the singlet ground state. The photoluminescence blinking of Zn0.42Cd0.58Se QDs on glass and ITO substrates was investigated experimentally as a function of the excitation power (P) and modelled via Monte-Carlo simulations. At low P, it was observed that the probability of a certain on- or off-time follows a negative power-law with exponent near to 1.6. As P increased, the on-time fraction reduced on both substrates whereas the off-times did not change. A weak residual memory effect between consecutive on-times and consecutive off-times was observed but not between an on-time and the adjacent off-time. All of this suggests the presence of two independent mechanisms governing the lifetimes of the on- and off-states. The simulated data showed Poisson-distributed off- and on-intensities, demonstrating that the observed non-Poissonian on-intensity distribution of the QDs is not a product of the underlying power-law probability and that the blinking of QDs occurs between a non-emitting off-state and a distribution of emitting on-states with different intensities. All the experimentally observed photo-induced effects could be accounted for by introducing a characteristic lifetime tPI of the on-state in the simulations. The QDs on glass presented a tPI proportional to P-1 suggesting the presence of a one-photon process. Light scattering images and spectra of colloidal and C-shaped gold nano-particles were acquired. The minimum size of a metallic scatterer detectable with the SCOM lies around 20 nm.

Magnetic fields around radio galaxies from Faraday rotation measure analysis

The purpose of this thesis is to investigate the strength and structure of the magnetized medium surrounding radio galaxies via observations of the Faraday effect. This study is based on an analysis of the polarization properties of radio galaxies selected to have a range of morphologies (elongated tails, or lobes with small axial ratios) and to be located in a variety of environments (from rich cluster core to small group). The targets include famous objects like M84 and M87. A key aspect of this work is the combination of accurate radio imaging with high-quality X-ray data for the gas surrounding the sources. Although the focus of this thesis is primarily observational, I developed analytical models and performed two- and three-dimensional numerical simulations of magnetic fields. The steps of the thesis are: (a) to analyze new and archival observations of Faraday rotation measure (RM) across radio galaxies and (b) to interpret these and existing RM images using sophisticated two and three-dimensional Monte Carlo simulations. The approach has been to select a few bright, very extended and highly polarized radio galaxies. This is essential to have high signal-to-noise in polarization over large enough areas to allow computation of spatial statistics such as the structure function (and hence the power spectrum) of rotation measure, which requires a large number of independent measurements. New and archival Very Large Array observations of the target sources have been analyzed in combination with high-quality X-ray data from the Chandra, XMM-Newton and ROSAT satellites. The work has been carried out by making use of: 1) Analytical predictions of the RM structure functions to quantify the RM statistics and to constrain the power spectra of the RM and magnetic field. 2) Two-dimensional Monte Carlo simulations to address the effect of an incomplete sampling of RM distribution and so to determine errors for the power spectra. 3) Methods to combine measurements of RM and depolarization in order to constrain the magnetic-field power spectrum on small scales. 4) Three-dimensional models of the group/cluster environments, including different magnetic field power spectra and gas density distributions. This thesis has shown that the magnetized medium surrounding radio galaxies appears more complicated than was apparent from earlier work. Three distinct types of magnetic-field structure are identified: an isotropic component with large-scale fluctuations, plausibly associated with the intergalactic medium not affected by the presence of a radio source; a well-ordered field draped around the front ends of the radio lobes and a field with small-scale fluctuations in rims of compressed gas surrounding the inner lobes, perhaps associated with a mixing layer.

Untersuchung der lateralen Organisation und Phasenumwandlung von festkörperunterstützten Lipidmembranen

Im ersten Teil der Arbeit wurde das Bindungsverhalten von Annexin A1 und Annexin A2t an festkörperunterstützte Lipidmembranen aus POPC und POPS untersucht. Für beide Proteine konnte mit Hilfe der Fluoreszenzmikroskopie gezeigt werden, dass irreversible Bindung nur in Anwesenheit von POPS auftritt. Durch rasterkraftmikroskopische Aufnahmen konnte die laterale Organisation der Annexine auf der Lipidmembran dargestellt werden. Beide Proteine lagern sich in Form lateraler Aggregate (zweidimensionale Domänen) auf der Oberfläche an, außerdem ist der Belegungsgrad und die Größe der Domänen von der Membranzusammensetzung und der Calciumkonzentration abhängig. Mit zunehmendem POPS-Gehalt und Calciumkonzentration steigt der Belegungsgrad an und der mittlere Domänenradius wird kleiner. Diese Ergebnisse konnten in Verbindung mit detaillierten Bindungsstudien des Annexins A1 mit der Quarzmikrowaage verwendet werden, um ein Bindungsmodell auf Basis einer heterogenen Oberfläche zu entwickeln. Auf einer POPC-reichen Matrix findet reversible Adsorption statt und auf POPS-reichen Domänen irreversible Adsorption. Durch die Anpassung von dynamischen Monte Carlo-Simulationen basierend auf einer zweidimensionalen zufälligen sequentiellen Adsorption konnten Erkenntnisse über die Membranstruktur und die kinetischen Ratenkonstanten in Abhängigkeit von der Calciumkonzentration und der Inkubationszeit des Proteins gewonnen werden. Die irreversible Bindung ist in allen Calciumkonzentrationsbereichen schneller als die reversible. Außerdem zeigt die irreversible Adsorption eine deutlich stärkere Abhängigkeit von der Calciumkonzentration. Ein kleinerer Belegungsgrad bei niedrigen Ca2+-Gehalten ist hauptsächlich durch die Abnahme der verfügbaren Bindungsplätze auf der Oberfläche zu erklären. Die gute Übereinstimmung der aus den Monte Carlo-Simulationen erhaltenen Domänenstrukturen mit den rasterkraftmikroskopischen Aufnahmen und die Tatsache, dass sich die simulierten Resonanzfrequenzverläufe problemlos an die experimentellen Kurven aus den QCM-Messungen anpassen ließen, zeigt die gute Anwendbarkeit des entwickelten Simulationsprogramms auf die Adsorption von Annexin A1. Die Extraktion der kinetischen Parameter aus dem zweidimensionalen RSA-Modell ist mit Sicherheit einem einfachen Langmuir-Ansatz überlegen. Bei einem Langmuir-Modell erfolgt eine integrale Erfassung einer einzelnen makroskopischen Geschwindigkeitskonstante, während durch das RSA-Modell eine differenzierte Betrachtung des reversiblen und irreversiblen Bindungsprozesses möglich ist. Zusätzlich lassen sich mikroskopische Informationen über die Oberflächenbeschaffenheit gewinnen. Im zweiten Teil der Arbeit wurde das thermotrope Phasenverhalten von festkörperunterstützten Phospholipidbilayern untersucht. Dazu wurden mikrostrukturierte, frei stehende Membranstreifen präpariert und mit Hilfe der bildgebenden Ellipsometrie untersucht. Dadurch konnten die temperaturabhängigen Verläufe der Schichtdicke und der lateralen Membranausdehnung parallel beobachtet werden. Die ermittelten Phasenübergangstemperaturen von DMPC, diC15PC und DPPC lagen 2 - 3 °C oberhalb der Literaturwerte für vesikuläre Systeme. Außerdem wurde eine deutliche Verringerung der Kooperativität der Phasenumwandlung gefunden, was auf einen großen Einfluss des Substrats bei den festkörperunterstützten Lipidmembranen schließen lässt. Zusätzlich wurde ein nicht systematischer Zusammenhang der Ergebnisse von der Oberflächenpräparation gefunden, der es unabdingbar macht, bei Untersuchungen von festkörperunterstützten Substraten einen internen Standard einzuführen. Bei der Analyse des thermotropen Phasenübergangsverhaltens von DMPC/Cholesterol - Gemischen wurde daher die individuelle Adressierbarkeit der strukturierten Lipidmembranen ausgenutzt und ein Lipidstreifen aus reinem DMPC als Standard verwendet. Auf diese Weise konnte gezeigt werden, dass das für Phospholipide typische Phasenübergangsverhalten ab 30 mol% Cholesterol in der Membran nicht mehr vorhanden ist. Dies ist auf die Bildung einer nur durch höhere Sterole induzierten fluiden Phase mit hoch geordneten Acylketten zurückzuführen. Abschließend konnte durch die Zugabe von Ethanol zu einer mikrostrukturierten DMPC-Membran die Bildung eines interdigitierten Bilayers nachgewiesen werden. Die bildgebende Ellipsometrie ist eine sehr gute Methode zur Untersuchung festkörperunterstützter Lipidmembranen, da sie über ein sehr gutes vertikales und ein ausreichendes laterales Auflösungsvermögen besitzt. Sie ist darin zwar einem Rasterkraftmikroskop noch unterlegen, besitzt dafür aber eine einfachere Handhabung beim Umgang mit Flüssigkeiten und in der Temperierung, eine schnellere Bildgebung und ist als optische Methode nicht-invasiv.

Employing Distances in Design-based Spatial Estimation

In the last couple of decades we assisted to a reappraisal of spatial design-based techniques. Usually the spatial information regarding the spatial location of the individuals of a population has been used to develop efficient sampling designs. This thesis aims at offering a new technique for both inference on individual values and global population values able to employ the spatial information available before sampling at estimation level by rewriting a deterministic interpolator under a design-based framework. The achieved point estimator of the individual values is treated both in the case of finite spatial populations and continuous spatial domains, while the theory on the estimator of the population global value covers the finite population case only. A fairly broad simulation study compares the results of the point estimator with the simple random sampling without replacement estimator in predictive form and the kriging, which is the benchmark technique for inference on spatial data. The Monte Carlo experiment is carried out on populations generated according to different superpopulation methods in order to manage different aspects of the spatial structure. The simulation outcomes point out that the proposed point estimator has almost the same behaviour as the kriging predictor regardless of the parameters adopted for generating the populations, especially for low sampling fractions. Moreover, the use of the spatial information improves substantially design-based spatial inference on individual values.

Measurement of the differential cross section of tt pairs in pp collision at sqrt(s) = 7TeV with the ATLAS detector at the LHC

In this thesis three measurements of top-antitop differential cross section at an energy in the center of mass of 7 TeV will be shown, as a function of the transverse momentum, the mass and the rapidity of the top-antitop system. The analysis has been carried over a data sample of about 5/fb recorded with the ATLAS detector. The events have been selected with a cut based approach in the "one lepton plus jets" channel, where the lepton can be either an electron or a muon. The most relevant backgrounds (multi-jet QCD and W+jets) have been extracted using data driven methods; the others (Z+ jets, diboson and single top) have been simulated with Monte Carlo techniques. The final, background-subtracted, distributions have been corrected, using unfolding methods, for the detector and selection effects. At the end, the results have been compared with the theoretical predictions. The measurements are dominated by the systematic uncertainties and show no relevant deviation from the Standard Model predictions.

Nuclear charge radius determination of 7,10 Be and the one-neutron halo nucleus 11 Be

The only nuclear model independent method for the determination of nuclear charge radii of short-lived radioactive isotopes is the measurement of the isotope shift. For light elements (Z < 10) extremely high accuracy in experiment and theory is required and was only reached for He and Li so far. The nuclear charge radii of the lightest elements are of great interest because they have isotopes which exhibit so-called halo nuclei. Those nuclei are characterized by a a very exotic nuclear structure: They have a compact core and an area of less dense nuclear matter that extends far from this core. Examples for halo nuclei are 6^He, 8^He, 11^Li and 11^Be that is investigated in this thesis. Furthermore these isotopes are of interest because up to now only for such systems with a few nucleons the nuclear structure can be calculated ab-initio. In the Institut für Kernchemie at the Johannes Gutenberg-Universität Mainz two approaches with different accuracy were developed. The goal of these approaches was the measurement of the isotope shifts between (7,10,11)^Be^+ and 9^Be^+ in the D1 line. The …first approach is laser spectroscopy on laser cooled Be^+ ions that are trapped in a linear Paul trap. The accessible accuracy should be in the order of some 100 kHz. In this thesis two types of linear Paul traps were developed for this purpose. Moreover, the peripheral experimental setup was simulated and constructed. It allows the efficient deceleration of fast ions with an initial energy of 60 keV down to some eV and an effcient transport into the ion trap. For one of the Paul traps the ion trapping could already be demonstrated, while the optical detection of captured 9^Be^+ ions could not be completed, because the development work was delayed by the second approach. The second approach uses the technique of collinear laser spectroscopy that was already applied in the last 30 years for measuring isotope shifts of plenty of heavier isotopes. For light elements (Z < 10), it was so far not possible to reach the accuracy that is required to extract information about nuclear charge radii. The combination of collinear laser spectroscopy with the most modern methods of frequency metrology …finally permitted the …first-time determination of the nuclear charge radii of (7,10)^Be and the one neutron halo nucleus 11^Be at the COLLAPS experiment at ISOLDE/ CERN. In the course of the work reported in this thesis it was possible to measure the absolute transition frequencies and the isotope shifts in the D1 line for the Be isotopes mentioned above with an accuracy of better than 2 MHz. Combination with the most recent calculations of the mass effect allowed the extraction of the nuclear charge radii of (7,10,11)^Be with an relative accuracy better than 1%. The nuclear charge radius decreases from 7^Be continuously to 10^Be and increases again for 11^Be. This result is compared with predictions of ab-initio nuclear models which reproduce the observed trend. Particularly the "Greens Function Monte Carlo" and the "Fermionic Molecular Dynamic" model show very good agreement.

Die Messung der Gluonpolarisation durch die Produktion von Hadronpaaren mit großen Transversalimpulsen in tiefinelastischer Myonstreuung am Nukleon

Am COMPASS-Experiment am CERN-SPS wird die Spinsstruktur des Nukleons mit Hilfe der Streuung von polarisierten Myonen an polarisierten Nukleonen untersucht. Der in der inklusiven tiefinelastischen Streuung gemessene Beitrag der Quarks zum Nukleonspin reicht nicht aus, um den Spin des Nukleons zu erklären. Daher soll geklärt werden, wie die Gluonpolarisation und die Bahndrehimpulse von Quarks und Gluonen zum Gesamtspin des Nukleons beitragen. Da sich die Gluonpolarisation aus der $Q^{2}$-Abhängigkeit der Asymmetrien in der inklusiven Streuung nur abschätzen lässt, wird eine direkte Messung der Gluonpolarisation benötigt. Die COMPASS-Kollaboration bestimmt daher die Wirkungsquerschnittsasymmetrien für Photon-Gluon-Fusionprozesse, indem sie zum einen die offene Charmproduktion und zum anderen die Produktion von Hadronpaaren mit großen Transversalimpulsen verwendet. In dieser Arbeit wird die Messung der Gluonpolarisation mit den COMPASS-Daten der Jahre 2003 und 2004 vorgestellt. Für die Analyse werden die Ereignisse mit großem Impulsübertrag ($Q^{2}>1$ $GeV^{2}/c^{2}$) und mit Hadronpaaren mit großem Transversalimpuls ($p_{perp}>0.7$ $GeV/c$) verwendet. Die Photon-Nukleon-Asymmetrie wurde aus dem gewichteten Doppelverhältnis der selektierten Ereignisse bestimmt. Der Schnitt auf $p_{perp}>0.7$rn$GeV/c$ unterdrückt die Prozesse führender Ordnung und QCD-Compton Prozesse, so dass die Asymmetrie direkt mit der Gluonpolarisation über die Analysierstärke verknüpft ist. Der gemessene Wert ist sehr klein und verträglich mit einer verschwindenden Gluonpolarisation. Zur Vermeidung von falschen Asymmetrien aufgrund der Änderung der Detektorakzeptanz wurden Doppelverhältnisse untersucht, bei denen sich der Wirkungsquerschnitt aufhebt und nur die Detektorasymmetrien übrig bleiben. Es konnte gezeigt werden, dass das COMPASS-Spektrometer keine signifikante Zeitabhängigkeit aufweist. Für die Berechnung der Analysierstärke wurden Monte Carlo Ereignisse mit Hilfe des LEPTO-Generators und des COMGeant Software Paketes erzeugt. Dabei ist eine gute Beschreibung der Daten durch das Monte Carlo sehr wichtig. Dafür wurden zur Verbesserung der Beschreibung JETSET Parameter optimiert. Es ergab sich ein Wert von rn$frac{Delta G}{G}=0.054pm0.145_{(stat)}pm0.131_{(sys)}pm0.04_{(MC)}$ bei einem mittleren Impulsbruchteil von $langle x_{gluon}rangle=0.1$ und $langle Q^{2}rangle=1.9$ $GeV^{2}/c^{2}$. Dieses Ergebnis deutet auf eine sehr kleine Gluonpolarisation hin und steht im Einklang mit den Ergebnissen anderer Methoden, wie offene Charmproduktion und mit den Ergebnissen, die am doppelt polarisierten RHIC Collider am BNL erzielt wurden.

Bestimmung der fehlenden transversalen Energie auf der ersten Triggerstufe beim ATLAS-Experiment und Optimierung der Triggerselektion von supersymmetrischen Ereignissen

Das Standardmodell der Teilchenphysik, das drei der vier fundamentalen Wechselwirkungen beschreibt, stimmt bisher sehr gut mit den Messergebnissen der Experimente am CERN, dem Fermilab und anderen Forschungseinrichtungen überein. rnAllerdings können im Rahmen dieses Modells nicht alle Fragen der Teilchenphysik beantwortet werden. So lässt sich z.B. die vierte fundamentale Kraft, die Gravitation, nicht in das Standardmodell einbauen.rnDarüber hinaus hat das Standardmodell auch keinen Kandidaten für dunkle Materie, die nach kosmologischen Messungen etwa 25 % unseres Universum ausmacht.rnAls eine der vielversprechendsten Lösungen für diese offenen Fragen wird die Supersymmetrie angesehen, die eine Symmetrie zwischen Fermionen und Bosonen einführt. rnAus diesem Modell ergeben sich sogenannte supersymmetrische Teilchen, denen jeweils ein Standardmodell-Teilchen als Partner zugeordnet sind.rnEin mögliches Modell dieser Symmetrie ist das R-Paritätserhaltende mSUGRA-Modell, falls Supersymmetrie in der Natur realisiert ist.rnIn diesem Modell ist das leichteste supersymmetrische Teilchen (LSP) neutral und schwach wechselwirkend, sodass es nicht direkt im Detektor nachgewiesen werden kann, sondern indirekt über die vom LSP fortgetragene Energie, die fehlende transversale Energie (etmiss), nachgewiesen werden muss.rnrnDas ATLAS-Experiment wird 2010 mit Hilfe des pp-Beschleunigers LHC mit einer Schwerpunktenergie von sqrt(s)=7-10 TeV mit einer Luminosität von 10^32 #/(cm^2*s) mit der Suche nach neuer Physik starten.rnDurch die sehr hohe Datenrate, resultierend aus den etwa 10^8 Auslesekanälen des ATLAS-Detektors bei einer Bunchcrossingrate von 40 MHz, wird ein Triggersystem benötigt, um die zu speichernde Datenmenge zu reduzieren.rnDabei muss ein Kompromiss zwischen der verfügbaren Triggerrate und einer sehr hohen Triggereffizienz für die interessanten Ereignisse geschlossen werden, da etwa nur jedes 10^8-te Ereignisse für die Suche nach neuer Physik interessant ist.rnZur Erfüllung der Anforderungen an das Triggersystem wird im Experiment ein dreistufiges System verwendet, bei dem auf der ersten Triggerstufe mit Abstand die höchste Datenreduktion stattfindet.rnrnIm Rahmen dieser Arbeit rn%, die vollständig auf Monte-Carlo-Simulationen basiert, rnist zum einen ein wesentlicher Beitrag zum grundlegenden Verständnis der Eigenschaft der fehlenden transversalen Energie auf der ersten Triggerstufe geleistet worden.rnZum anderen werden Methoden vorgestellt, mit denen es möglich ist, die etmiss-Triggereffizienz für Standardmodellprozesse und mögliche mSUGRA-Szenarien aus Daten zu bestimmen. rnBei der Optimierung der etmiss-Triggerschwellen für die erste Triggerstufe ist die Triggerrate bei einer Luminosität von 10^33 #/(cm^2*s) auf 100 Hz festgelegt worden.rnFür die Triggeroptimierung wurden verschiedene Simulationen benötigt, bei denen eigene Entwicklungsarbeit eingeflossen ist.rnMit Hilfe dieser Simulationen und den entwickelten Optimierungsalgorithmen wird gezeigt, dass trotz der niedrigen Triggerrate das Entdeckungspotential (für eine Signalsignifikanz von mindestens 5 sigma) durch Kombinationen der etmiss-Schwelle mit Lepton bzw. Jet-Triggerschwellen gegenüber dem bestehenden ATLAS-Triggermenü auf der ersten Triggerstufe um bis zu 66 % erhöht wird.

Simulations of charge transport in organic compounds

To aid the design of organic semiconductors, we study the charge transport properties of organic liquid crystals, i.e. hexabenzocoronene and carbazole macrocycle, and single crystals, i.e. rubrene, indolocarbazole and benzothiophene derivatives (BTBT, BBBT). The aim is to find structure-property relationships linking the chemical structure as well as the morphology with the bulk charge carrier mobility of the compounds. To this end, molecular dynamics (MD) simulations are performed yielding realistic equilibrated morphologies. Partial charges and molecular orbitals are calculated based on single molecules in vacuum using quantum chemical methods. The molecular orbitals are then mapped onto the molecular positions and orientations, which allows calculation of the transfer integrals between nearest neighbors using the molecular orbital overlap method. Thus we obtain realistic transfer integral distributions and their autocorrelations. In case of organic crystals the differences between two descriptions of charge transport, namely semi-classical dynamics (SCD) in the small polaron limit and kinetic Monte Carlo (KMC) based on Marcus rates, are studied. The liquid crystals are investigated solely in the hopping limit. To simulate the charge dynamics using KMC, the centers of mass of the molecules are mapped onto lattice sites and the transfer integrals are used to compute the hopping rates. In the small polaron limit, where the electronic wave function is spread over a limited number of neighboring molecules, the Schroedinger equation is solved numerically using a semi-classical approach. The results are compared for the different compounds and methods and, where available, with experimental data. The carbazole macrocycles form columnar structures arranged on a hexagonal lattice with side chains facing inwards, so columns can closely approach each other allowing inter-columnar and thus three-dimensional transport. When taking only intra-columnar transport into account, the mobility is orders of magnitude lower than in the three-dimensional case. BTBT is a promising material for solution-processed organic field-effect transistors. We are able to show that, on the time-scales of charge transport, static disorder due to slow side chain motions is the main factor determining the mobility. The resulting broad transfer integral distributions modify the connectivity of the system but sufficiently many fast percolation paths remain for the charges. Rubrene, indolocarbazole and BBBT are examples of crystals without significant static disorder. The high mobility of rubrene is explained by two main features: first, the shifted cofacial alignment of its molecules, and second, the high center of mass vibrational frequency. In comparsion to SCD, only KMC based on Marcus rates is capable of describing neighbors with low coupling and of taking static disorder into account three-dimensionally. Thus it is the method of choice for crystalline systems dominated by static disorder. However, it is inappropriate for the case of strong coupling and underestimates the mobility of well-ordered crystals. SCD, despite its one-dimensionality, is valuable for crystals with strong coupling and little disorder. It also allows correct treatment of dynamical effects, such as intermolecular vibrations of the molecules. Rate equations are incapable of this, because simulations are performed on static snapshots. We have thus shown strengths and weaknesses of two state of the art models used to study charge transport in organic compounds, partially developed a program to compute and visualize transfer integral distributions and other charge transport properties, and found structure-mobility relations for several promising organic semiconductors.

Morphology and charge transport in conjugated polymers

To assist rational compound design of organic semiconductors, two problems need to be addressed. First, the material morphology has to be known at an atomistic level. Second, with the morphology at hand, an appropriate charge transport model needs to be developed in order to link charge carrier mobility to structure.rnrnThe former can be addressed by generating atomistic morphologies using molecular dynamics simulations. However, the accessible range of time- and length-scales is limited. To overcome these limitations, systematic coarse-graining methods can be used. In the first part of the thesis, the Versatile Object-oriented Toolkit for Coarse-graining Applications is introduced, which provides a platform for the implementation of coarse-graining methods. Tools to perform Boltzmann inversion, iterative Boltzmann inversion, inverse Monte Carlo, and force-matching are available and have been tested on a set of model systems (water, methanol, propane and a single hexane chain). Advantages and problems of each specific method are discussed.rnrnIn partially disordered systems, the second issue is closely connected to constructing appropriate diabatic states between which charge transfer occurs. In the second part of the thesis, the description initially used for small conjugated molecules is extended to conjugated polymers. Here, charge transport is modeled by introducing conjugated segments on which charge carriers are localized. Inter-chain transport is then treated within a high temperature non-adiabatic Marcus theory while an adiabatic rate expression is used for intra-chain transport. The charge dynamics is simulated using the kinetic Monte Carlo method.rnrnThe entire framework is finally employed to establish a relation between the morphology and the charge mobility of the neutral and doped states of polypyrrole, a conjugated polymer. It is shown that for short oligomers, charge carrier mobility is insensitive to the orientational molecular ordering and is determined by the threshold transfer integral which connects percolating clusters of molecules that form interconnected networks. The value of this transfer integral can be related to the radial distribution function. Hence, charge mobility is mainly determined by the local molecular packing and is independent of the global morphology, at least in such a non-crystalline state of a polymer.

A soft-tetramer model for diblock copolymer melts: structure formation and geometric characterization

The ability of block copolymers to spontaneously self-assemble into a variety of ordered nano-structures not only makes them a scientifically interesting system for the investigation of order-disorder phase transitions, but also offers a wide range of nano-technological applications. The architecture of a diblock is the most simple among the block copolymer systems, hence it is often used as a model system in both experiment and theory. We introduce a new soft-tetramer model for efficient computer simulations of diblock copolymer melts. The instantaneous non-spherical shape of polymer chains in molten state is incorporated by modeling each of the two blocks as two soft spheres. The interactions between the spheres are modeled in a way that the diblock melt tends to microphase separate with decreasing temperature. Using Monte Carlo simulations, we determine the equilibrium structures at variable values of the two relevant control parameters, the diblock composition and the incompatibility of unlike components. The simplicity of the model allows us to scan the control parameter space in a completeness that has not been reached in previous molecular simulations.The resulting phase diagram shows clear similarities with the phase diagram found in experiments. Moreover, we show that structural details of block copolymer chains can be reproduced by our simple model.We develop a novel method for the identification of the observed diblock copolymer mesophases that formalizes the usual approach of direct visual observation,using the characteristic geometry of the structures. A cluster analysis algorithm is used to determine clusters of each component of the diblock, and the number and shape of the clusters can be used to determine the mesophase.We also employ methods from integral geometry for the identification of mesophases and compare their usefulness to the cluster analysis approach.To probe the properties of our model in confinement, we perform molecular dynamics simulations of atomistic polyethylene melts confined between graphite surfaces. The results from these simulations are used as an input for an iterative coarse-graining procedure that yields a surface interaction potential for the soft-tetramer model. Using the interaction potential derived in that way, we perform an initial study on the behavior of the soft-tetramer model in confinement. Comparing with experimental studies, we find that our model can reflect basic features of confined diblock copolymer melts.

Numerical studies of colloidal systems

The interplay of hydrodynamic and electrostatic forces is of great importance for the understanding of colloidal dispersions. Theoretical descriptions are often based on the so called standard electrokinetic model. This Mean Field approach combines the Stokes equation for the hydrodynamic flow field, the Poisson equation for electrostatics and a continuity equation describing the evolution of the ion concentration fields. In the first part of this thesis a new lattice method is presented in order to efficiently solve the set of non-linear equations for a charge-stabilized colloidal dispersion in the presence of an external electric field. Within this framework, the research is mainly focused on the calculation of the electrophoretic mobility. Since this transport coefficient is independent of the electric field only for small driving, the algorithm is based upon a linearization of the governing equations. The zeroth order is the well known Poisson-Boltzmann theory and the first order is a coupled set of linear equations. Furthermore, this set of equations is divided into several subproblems. A specialized solver for each subproblem is developed, and various tests and applications are discussed for every particular method. Finally, all solvers are combined in an iterative procedure and applied to several interesting questions, for example, the effect of the screening mechanism on the electrophoretic mobility or the charge dependence of the field-induced dipole moment and ion clouds surrounding a weakly charged sphere. In the second part a quantitative data analysis method is developed for a new experimental approach, known as "Total Internal Reflection Fluorescence Cross-Correlation Spectroscopy" (TIR-FCCS). The TIR-FCCS setup is an optical method using fluorescent colloidal particles to analyze the flow field close to a solid-fluid interface. The interpretation of the experimental results requires a theoretical model, which is usually the solution of a convection-diffusion equation. Since an analytic solution is not available due to the form of the flow field and the boundary conditions, an alternative numerical approach is presented. It is based on stochastic methods, i. e. a combination of a Brownian Dynamics algorithm and Monte Carlo techniques. Finally, experimental measurements for a hydrophilic surface are analyzed using this new numerical approach.

Developments for transactinide chemistry experiments behind the gas-filled separator TASCA

Topic of this thesis is the development of experiments behind the gas-filled separator TASCA(TransActinide Separator and Chemistry Apparatus) to study the chemical properties of the transactinide elements.rnIn the first part of the thesis, the electrodepositions of short-lived isotopes of ruthenium and osmium on gold electrodes were studied as model experiments for hassium. From literature it is known that the deposition potential of single atoms differs significantly from the potential predicted by the Nernst equation. This shift of the potential depends on the adsorption enthalpy of therndeposited element on the electrode material. If the adsorption on the electrode-material is favoured over the adsorption on a surface made of the same element as the deposited atom, the electrode potential is shifted to higher potentials. This phenomenon is called underpotential deposition.rnPossibilities to automatize an electro chemistry experiment behind the gas-filled separator were explored for later studies with transactinide elements.rnThe second part of this thesis is about the in-situ synthesis of transition-metal-carbonyl complexes with nuclear reaction products. Fission products of uranium-235 and californium-249 were produced at the TRIGA Mainz reactor and thermalized in a carbon-monoxide containing atmosphere. The formed volatile metal-carbonyl complexes could be transported in a gas-stream.rnFurthermore, short-lived isotopes of tungsten, rhenium, osmium, and iridium were synthesised at the linear accelerator UNILAC at GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt. The recoiling fusion products were separated from the primary beam and the transfer products in the gas-filled separator TASCA. The fusion products were stopped in the focal plane of TASCA in a recoil transfer chamber. This chamber contained a carbon-monoxide – helium gas mixture. The formed metal-carbonyl complexes could be transported in a gas stream to various experimental setups. All synthesised carbonyl complexes were identified by nuclear decay spectroscopy. Some complexes were studied with isothermal chromatography or thermochromatography methods. The chromatograms were compared with Monte Carlo Simulations to determine the adsorption enthalpyrnon silicon dioxide and on gold. These simulations based on existing codes, that were modified for the different geometries of the chromatography channels. All observed adsorption enthalpies (on silcon oxide as well as on gold) are typical for physisorption. Additionally, the thermalstability of some of the carbonyl complexes was studied. This showed that at temperatures above 200 °C therncomplexes start to decompose.rnIt was demonstrated that carbonyl-complex chemistry is a suitable method to study rutherfordium, dubnium, seaborgium, bohrium, hassium, and meitnerium. Until now, only very simple, thermally stable compounds have been synthesized in the gas-phase chemistry of the transactindes. With the synthesis of transactinide-carbonyl complexes a new compound class would be discovered. Transactinide chemistry would reach the border between inorganic and metallorganic chemistry.rnFurthermore, the in-situ synthesised carbonyl complexes would allow nuclear spectroscopy studies under low background conditions making use of chemically prepared samples.

Supersymmetry searches in the single lepton final state with the ATLAS detector

This thesis presents an analysis for the search of Supersymmetry with the ATLAS detector at the LHC. The final state with one lepton, several coloured particles and large missing transverse energy was chosen. Particular emphasis was placed on the optimization of the requirements for lepton identification. This optimization showed to be particularly useful when combining with multi-lepton selections. The systematic error associated with the higher order QCD diagrams in Monte Carlo production is given particular focus. Methods to verify and correct the energy measurement of hadronic showers are developed. Methods for the identification and removal of mismeasurements caused by the detector are found in the single muon and four jet environment are applied. A new detector simulation system is shown to provide good prospects for future fast Monte Carlo production. The analysis was performed for $35pb^{-1}$ and no significant deviation from the Standard Model is seen. Exclusion limits subchannel for minimal Supergravity. Previous limits set by Tevatron and LEP are extended.

A Bayesian changepoint analysis on spatio-temporal point processes

Changepoint analysis is a well established area of statistical research, but in the context of spatio-temporal point processes it is as yet relatively unexplored. Some substantial differences with regard to standard changepoint analysis have to be taken into account: firstly, at every time point the datum is an irregular pattern of points; secondly, in real situations issues of spatial dependence between points and temporal dependence within time segments raise. Our motivating example consists of data concerning the monitoring and recovery of radioactive particles from Sandside beach, North of Scotland; there have been two major changes in the equipment used to detect the particles, representing known potential changepoints in the number of retrieved particles. In addition, offshore particle retrieval campaigns are believed may reduce the particle intensity onshore with an unknown temporal lag; in this latter case, the problem concerns multiple unknown changepoints. We therefore propose a Bayesian approach for detecting multiple changepoints in the intensity function of a spatio-temporal point process, allowing for spatial and temporal dependence within segments. We use Log-Gaussian Cox Processes, a very flexible class of models suitable for environmental applications that can be implemented using integrated nested Laplace approximation (INLA), a computationally efficient alternative to Monte Carlo Markov Chain methods for approximating the posterior distribution of the parameters. Once the posterior curve is obtained, we propose a few methods for detecting significant change points. We present a simulation study, which consists in generating spatio-temporal point pattern series under several scenarios; the performance of the methods is assessed in terms of type I and II errors, detected changepoint locations and accuracy of the segment intensity estimates. We finally apply the above methods to the motivating dataset and find good and sensible results about the presence and quality of changes in the process.