Grundlegende Untersuchungen zum Verhalten ausgewählter Seltenerdelemente bei Explosionen und zur Anwendbarkeit spezieller Methoden zu deren Analyse

Bisher ist bei forensischen Untersuchungen von Explosionen die Rückverfolgung der verwendeten Sprengstoffe begrenzt, da das Material in aller Regel bei der Explosion zerstört wird. Die Rückverfolgung von Sprengstoffen soll mit Hilfe von Identifikations-Markierungssubstanzen erleichtert werden. Diese stellen einen einzigartigen Code dar, der auch nach einer Sprengung wiedergefunden und identifiziert werden kann. Die dem Code zugeordneten, eindeutigen Informationen können somit ausgelesen werden und liefern der Polizei bei der Aufklärung weitere Ansätze.rnZiel der vorliegenden Arbeit ist es, das Verhalten von ausgewählten Seltenerdelementen (SEE) bei Explosion zu untersuchen. Ein auf Lanthanoidphosphaten basierender Identifikations-Markierungsstoff bietet die Möglichkeit, verschiedene Lanthanoide innerhalb eines einzelnen Partikels zu kombinieren, wodurch eine Vielzahl von Codes generiert werden kann. Somit kann eine Veränderung der Ausgangszusammensetzung des Codes auch nach einer Explosion durch die Analyse eines einzelnen Partikels sehr gut nachvollzogen und somit die Eignung des Markierungsstoffes untersucht werden. Eine weitere Zielsetzung ist die Überprüfung der Anwendbarkeit der Massenspektrometrie mit induktiv gekoppeltem Plasma (ICP-MS) und Partikelanalyse mittels Rasterelektronenmikroskopie (REM) für die Analyse der versprengten Identifikations-Markierungssubstanzen. rnDie Ergebnisbetrachtungen der ICP-MS-Analyse und REM-Partikelanalyse deuten zusammenfassend auf eine Fraktionierung der untersuchten Lanthanoide oder deren Umsetzungsprodukte nach Explosion in Abhängigkeit ihrer thermischen Belastbarkeit. Die Befunde zeigen eine Anreicherung der Lanthanoide mit höherer Temperaturbeständigkeit in größeren Partikeln, was eine Anreicherung von Lanthanoiden mit niedrigerer Temperaturbeständigkeit in kleineren Partikeln impliziert. Dies lässt sich in Ansätzen durch einen Fraktionierungsprozess in Abhängigkeit der Temperaturstabilität der Lanthanoide oder deren Umsetzungsprodukten erklären. Die der Fraktionierung zugrunde liegenden Mechanismen und deren gegenseitige Beeinflussung bei einer Explosion konnten im Rahmen dieser Arbeit nicht abschließend geklärt werden.rnDie generelle Anwendbarkeit und unter Umständen notwendige, komplementäre Verwendung der zwei Methoden ICP-MS und REM-Partikelanalyse wird in dieser Arbeit gezeigt. Die ICP-MS stellt mit großer untersuchter Probenfläche und hoher Genauigkeit eine gute Methode zur Charakterisierung der Konzentrationsverhältnisse der untersuchten Lanthanoide dar. Die REM-Partikelanalyse hingegen ermöglicht im Falle von Kontamination der Proben mit anderen Lanthanoid-haltigen Partikeln eine eindeutige Differenzierung der Elementvergesellschaftung pro Partikel. Sie kann somit im Gegensatz zur ICP-MS Aufschluss über die Art und Zusammensetzung der Kontamination geben. rnInnerhalb der vorgenommenen Untersuchungen stellte die bei der ICP-MS angewandte Probennahmetechnik eine ideale Art der Probennahme dar. Bei anderen Oberflächen könnte diese jedoch in Folge der in verschiedenen Partikelgrößen resultierenden Fraktionierung zu systematisch verfälschten Ergebnissen führen. Um die generelle Anwendbarkeit der ICP-MS im Hinblick auf die Analyse versprengter Lanthanoide zu gewährleisten, sollte eine Durchführung weiterer Sprengungen auf unterschiedlichen Probenoberflächen erfolgen und gegebenenfalls weitere Probennahme-, Aufschluss- und Anreicherungsverfahren evaluiert werden.rn

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.

Intra- and interspecific competition in western barbastelle bats (Barbastella barbastellus, SCHREBER 1774)

In the present thesis I examined individual and sex-specific habitat use and site fidelity in the western barbastelle bat, Barbastella barbastellus, using data from a four-year monitoring in a Special Area of Conservation in Rhineland-Palatinate, Germany. The western barbastelle occurs in central and southern Europe from Portugal to the Caucasus, but is considered to be rare in large parts of its range. Up to now, long-term field studies to assess interannual site fidelity and the possible effects of intra- and interspecific competition have not been studied in this species. Nevertheless, such data provide important details to estimate the specific spatial requirements of its populations, which in turn can be incorporated in extended conservation actions. I used radio-telemetry, home range analyses und automated ultrasound detection to assess the relation between landscape elements and western barbastelle bats and their roosts. In addition, I estimated the degree of interspecific niche overlap with two selected forest-dwelling bat species, Bechstein's bat (Myotis bechsteinii) and the brown long-eared bat (Plecotus auritus). Intra- and interannual home range overlap analyses of female B. barbastellus revealed that fidelity to individual foraging grounds, i.e. a traditional use of particular sites, seems to effect the spatial distribution of home ranges more than intraspecific competition among communally roosting females. The results of a joint analysis of annual maternity roost selection and flight activities along commuting corridors highlight the necessity to protect roost complexes in conjunction with commuting corridors. Using radio-tracking data and an Euclidean distance approach I quantified the sex-specific and individual habitat use by female and male western barbastelle bats within their home ranges. My data indicated a partial sexual segregation in summer habitats. Females were found in deciduous forest patches and preferably foraged along linear elements within the forest. Males foraged closer to forest edges and in open habitats. Finally, I examined the resource partitioning between the western barbastelle bat and two syntopic bat species with a potential for interspecific competition due to similarities in foraging strategies, prey selection and roost preferences. Simultaneous radio-tracking of mixed-species pairs revealed a partial spatial separation of the three syntopic bat species along a gradient from the forest to edge habitats and open landscape. Long-eared bats were found close to open habitats which were avoided by the other two species. B. barbastellus preferred linear landscape elements (edge habitats) and forests, M. bechsteinii also preferred forest habitats. Only little overlap in terms of roost structure and tree species selection was found.

Tracking, b-tagging and measurement of the b-jet production cross section with the ATLAS detector

The Standard Model of elementary particle physics was developed to describe the fundamental particles which constitute matter and the interactions between them. The Large Hadron Collider (LHC) at CERN in Geneva was built to solve some of the remaining open questions in the Standard Model and to explore physics beyond it, by colliding two proton beams at world-record centre-of-mass energies. The ATLAS experiment is designed to reconstruct particles and their decay products originating from these collisions. The precise reconstruction of particle trajectories plays an important role in the identification of particle jets which originate from bottom quarks (b-tagging). This thesis describes the step-wise commissioning of the ATLAS track reconstruction and b-tagging software and one of the first measurements of the b-jet production cross section in pp collisions at sqrt(s)=7 TeV with the ATLAS detector. The performance of the track reconstruction software was studied in great detail, first using data from cosmic ray showers and then collisions at sqrt(s)=900 GeV and 7 TeV. The good understanding of the track reconstruction software allowed a very early deployment of the b-tagging algorithms. First studies of these algorithms and the measurement of the b-tagging efficiency in the data are presented. They agree well with predictions from Monte Carlo simulations. The b-jet production cross section was measured with the 2010 dataset recorded by the ATLAS detector, employing muons in jets to estimate the fraction of b-jets. The measurement is in good agreement with the Standard Model predictions.