Software tools and efficient algorithms for the feature detection, feature tracking, event localization, and visualization of large sets of atmospheric data

Data sets describing the state of the earth's atmosphere are of great importance in the atmospheric sciences. Over the last decades, the quality and sheer amount of the available data increased significantly, resulting in a rising demand for new tools capable of handling and analysing these large, multidimensional sets of atmospheric data. The interdisciplinary work presented in this thesis covers the development and the application of practical software tools and efficient algorithms from the field of computer science, aiming at the goal of enabling atmospheric scientists to analyse and to gain new insights from these large data sets. For this purpose, our tools combine novel techniques with well-established methods from different areas such as scientific visualization and data segmentation. In this thesis, three practical tools are presented. Two of these tools are software systems (Insight and IWAL) for different types of processing and interactive visualization of data, the third tool is an efficient algorithm for data segmentation implemented as part of Insight.Insight is a toolkit for the interactive, three-dimensional visualization and processing of large sets of atmospheric data, originally developed as a testing environment for the novel segmentation algorithm. It provides a dynamic system for combining at runtime data from different sources, a variety of different data processing algorithms, and several visualization techniques. Its modular architecture and flexible scripting support led to additional applications of the software, from which two examples are presented: the usage of Insight as a WMS (web map service) server, and the automatic production of a sequence of images for the visualization of cyclone simulations. The core application of Insight is the provision of the novel segmentation algorithm for the efficient detection and tracking of 3D features in large sets of atmospheric data, as well as for the precise localization of the occurring genesis, lysis, merging and splitting events. Data segmentation usually leads to a significant reduction of the size of the considered data. This enables a practical visualization of the data, statistical analyses of the features and their events, and the manual or automatic detection of interesting situations for subsequent detailed investigation. The concepts of the novel algorithm, its technical realization, and several extensions for avoiding under- and over-segmentation are discussed. As example applications, this thesis covers the setup and the results of the segmentation of upper-tropospheric jet streams and cyclones as full 3D objects. Finally, IWAL is presented, which is a web application for providing an easy interactive access to meteorological data visualizations, primarily aimed at students. As a web application, the needs to retrieve all input data sets and to install and handle complex visualization tools on a local machine are avoided. The main challenge in the provision of customizable visualizations to large numbers of simultaneous users was to find an acceptable trade-off between the available visualization options and the performance of the application. Besides the implementational details, benchmarks and the results of a user survey are presented.

3D-Elektronenmikroskopie dreier respiratorischer Proteine unter Verbesserung der bioinformatischen Abläufe

Die Transmissionselektronenmikroskopie gepaart mit bioinformatischen Methoden zur digitalen Bildverarbeitung ist ein schneller Weg zur Erstellung dreidimensionaler Rekonstruktionen großer Proteinkomplexe. Durch die Kombination der 3D-Elektronenmikroskopie mit der Röntgenstruktur von Untereinheiten erhält man ein pseudoatomares Modell der Quartärstruktur.rnIn dieser Arbeit wurden auf diese Weise die Quartärstrukturen von drei unterschiedlichen respiratorischen Proteinen analysiert (einem Hämoglobin und zwei Hämocyaninen). Zudem wurden spezielle Software-Tools entwickelt, um vorhandene Softwarepakete besser miteinander kombinieren zu können.rnDie ca. 15Å 3D-Rekonstruktion des Hämoglobins vom Wasserfloh Daphnia pulex klärt die umstrittene Frage, wie viele Untereinheiten die Quartärstruktur aufbauen: Es sind 16 (mit je zwei Häm-Domänen), angeordnet in zwei Schichten als D4-symmetrisches Sandwich. Die ca. 15 Å 3D-Rekonstruktion des 2x6meren Hämocyanins des Flusskrebses Astacus leptodactylus gibt neue Einblicke in die Kontaktstelle zwischen den beiden Hexameren; sie liegt im Bereich der Domäne 3. Bei dem aus 48 Untereinheiten bestehenden Hämocyanin des Pfeilschwanzes Limulus polyphemus wurde eine Auflösung von ca. 7 Å erreicht. Die Homologiemodelle der Untereinheiten wurden flexibel gefittet. An einer der Kontaktstellen zwischen den beiden Halbmolekülen wurden Molekulardynamik (MD)-Simulationen durchgeführt, um mehr über die Art der chemischen Bindung an dieser Kontaktstelle zu erfahren.rnSpeziell für die Kombination von 3D-Elektronenmikroskopie und MD-Simulation wurden verschiedene bioinformatische Werkzeuge und eine leicht zu erweiternde universelle grafische Benutzeroberfläche (GUI) entwickelt.

High precision tools for slepton pair production processes at hadron colliders

In this thesis, we develop high precision tools for the simulation of slepton pair production processes at hadron colliders and apply them to phenomenological studies at the LHC. Our approach is based on the POWHEG method for the matching of next-to-leading order results in perturbation theory to parton showers. We calculate matrix elements for slepton pair production and for the production of a slepton pair in association with a jet perturbatively at next-to-leading order in supersymmetric quantum chromodynamics. Both processes are subsequently implemented in the POWHEG BOX, a publicly available software tool that contains general parts of the POWHEG matching scheme. We investigate phenomenological consequences of our calculations in several setups that respect experimental exclusion limits for supersymmetric particles and provide precise predictions for slepton signatures at the LHC. The inclusion of QCD emissions in the partonic matrix elements allows for an accurate description of hard jets. Interfacing our codes to the multi-purpose Monte-Carlo event generator PYTHIA, we simulate parton showers and slepton decays in fully exclusive events. Advanced kinematical variables and specific search strategies are examined as means for slepton discovery in experimentally challenging setups.