The Garching-Bonn Deep Survey (GaBoDS) Wide-Field-Imaging Reduction Pipeline

We introduce our publicly available Wide-Field-Imaging reduction pipeline THELI. The procedures applied for the efficient pre-reduction and astrometric calibration are presented. A special emphasis is put on the methods applied to the photometric calibration. As a test case the reduction of optical data from the ESO Deep Public Survey including the WFI-GOODS data is described. The end-products of this project are now available via the ESO archive Advanced Data Products section.Comment: 6 pages, 3 figures, proceedings of ESO Calibration Workshop 200

Resilience markers for safer systems and organisations

If computer systems are to be designed to foster resilient performance it is important to be able to identify contributors to resilience. The emerging practice of Resilience Engineering has identified that people are still a primary source of resilience, and that the design of distributed systems should provide ways of helping people and organisations to cope with complexity. Although resilience has been identified as a desired property, researchers and practitioners do not have a clear understanding of what manifestations of resilience look like. This paper discusses some examples of strategies that people can adopt that improve the resilience of a system. Critically, analysis reveals that the generation of these strategies is only possible if the system facilitates them. As an example, this paper discusses practices, such as reflection, that are known to encourage resilient behavior in people. Reflection allows systems to better prepare for oncoming demands. We show that contributors to the practice of reflection manifest themselves at different levels of abstraction: from individual strategies to practices in, for example, control room environments. The analysis of interaction at these levels enables resilient properties of a system to be ‘seen’, so that systems can be designed to explicitly support them. We then present an analysis of resilience at an organisational level within the nuclear domain. This highlights some of the challenges facing the Resilience Engineering approach and the need for using a collective language to articulate knowledge of resilient practices across domains

The Indeterminacy of an Emergency: Challenges to Criminal Jurisdiction in Constitutional Democracy

In this contribution I address the type of emergency that threatens a state's monopoly of violence, meaning that the state's competence to provide citizens with elementary security is challenged. The question is, whether actions taken by the state to ward off these threats (should) fall within the ambit of the criminal law. A central problem is the indeterminacy that is inherent in the state of emergency, implicating that adequate measures as well as constitutional constraints to be imposed on such measures cannot easily be determined in advance. This indeterminacy raises two interrelated issues. Firstly, the issue of whether it makes sense to speak of criminal jurisdiction when the existing jurisdiction is challenged as such. To what extent does the indeterminacy call for inherently unlimited powers of the state, implying there can be no such thing as criminal jurisdiction during a state of emergency? Second-if criminal jurisdiction is not in contradiction with the state of emergency-the issue of what criminal liability could mean in such a state needs to be confronted. To what extent does the indeterminacy inherent in the state of emergency jeopardise criminal liability because such indeterminacy engenders severe legal uncertainty regarding the standards against which the relevant actions are to be judged? Both issues will be discussed from the perspective of constitutional democracy, assuming that what is at stake in times of emergency is both the competence to sustain the monopoly of violence and the possibility to constrain the powers of the state. © 2010 The Author(s)

Evaluation of two thermal neutron detection units consisting of ZnS/6{}^6LiF scintillating layers with embedded WLS fibers read out with a SiPM

Two single channel detection units for thermal neutron detection are investigated in a neutron beam. They consist of two ZnS/${}^6$LiF scintillating layers sandwiching an array of WLS fibers. The pattern of this units can be repeated laterally and vertically in order to build up a one dimensional position sensitive multi-channel detector with the needed sensitive surface and with the required neutron absorption probability. The originality of this work arises from the fact that the WLS fibers are read out with SiPMs instead of the traditionally used PMTs or MaPMTs. The signal processing system is based on a photon counting approach. For SiPMs with a dark count rate as high as 0.7 MHz, a trigger efficiency of 80% is achieved together with a system background rate lower than ${10}^{-3}$ Hz and a dead time of 30 $\mu$s. No change of performance is observed for neutron count rates of up to 3.6 kHz.Comment: Submitted to Nuclear Instruments and Methods

Beyond the pale?: the implications of the RSLG Report for non-CURL modern university libraries: Perspectives on the support libraries group: Final report

We have shown that the cluster-mass reconstruction method which combines strong and weak gravitational lensing data, developed in the first paper in the series, successfully reconstructs the mass distribution of a simulated cluster. In this paper we apply the method to the ground-based high-quality multi-colour data of RX J1347.5-114

Distributed Holistic Clustering on Linked Data

Link discovery is an active field of research to support data integration in the Web of Data. Due to the huge size and number of available data sources, efficient and effective link discovery is a very challenging task. Common pairwise link discovery approaches do not scale to many sources with very large entity sets. We here propose a distributed holistic approach to link many data sources based on a clustering of entities that represent the same real-world object. Our clustering approach provides a compact and fused representation of entities, and can identify errors in existing links as well as many new links. We support a distributed execution of the clustering approach to achieve faster execution times and scalability for large real-world data sets. We provide a novel gold standard for multi-source clustering, and evaluate our methods with respect to effectiveness and efficiency for large data sets from the geographic and music domains