Modeling the optical/UV polarization while flying around the tilted outflows of NGC 1068

Recent modeling of multi-waveband spectroscopic and maser observations suggests that the ionized outflows in the nuclear region of the archetypal Seyfert-2 galaxy NGC 1068 are inclined with respect to the vertical axis of the obscuring torus. Based on this suggestion, we build a complex reprocessing model of NGC 1068 for the optical/UV band. We apply the radiative transfer code STOKES to compute polarization spectra and images. The effects of electron and dust scattering and the radiative coupling occurring in the inner regions of the multi-component object are taken into account and evaluated at different polar and azimuthal viewing angles. The observed type-1/type-2 polarization dichotomy of active galactic nuclei is reproduced. At the assumed observer's inclination toward NGC 1068, the polarization is dominated by scattering in the polar outflows and therefore it indicates their tilting angle with respect to the torus axis. While a detailed analysis of our model results is still in progress, we briefly discuss how they relate to existing polarization observations of NGC 1068.Comment: To appear in the proceedings of the meeting "The Central Kiloparsec in Galactic Nuclei" held in Bad Honnef (Germany) from August 29th to September 2nd 201

The Development of the Use of Expert Testimony

The steadily increasing performance of modern computer systems is having a large influence on simulation technologies. It enables increasingly detailed simulations of larger and more comprehensive simulation models. Increasingly large amounts of numerical data are produced by these simulations. This thesis presents several contributions in the field of mechanical system simulation and visualisation. The work described in the thesis is of practical relevance and results have been tested and implemented in tools that are used daily in the industry i.e., the BEAST (BEAring Simulation Tool) tool box. BEAST is a multibody system (MBS) simulation software with special focus on detailed contact calculations. Our work is primarily focusing on these types of systems. focusing on these types of systems. Research in the field of simulation modelling typically focuses on one or several specific topics around the modelling and simulation work process. The work presented here is novel in the sense that it provides a complete analysis and tool chain for the whole work process for simulation modelling and analysis of multibody systems with detailed contact models. The focus is on detecting and dealing with possible problems and bottlenecks in the work process, with respect to multibody systems with detailed contact models. The following primary research questions have been formulated: How to utilise object-oriented techniques for modelling of multibody systems with special reference tocontact modelling? How to integrate visualisation with the modelling and simulation process of multibody systems withdetailed contacts. How to reuse and combine existing simulation models to simulate large mechanical systems consistingof several sub-systems by means of co-simulation modelling? Unique in this work is the focus on detailed contact models. Most modelling approaches for multibody systems focus on modelling of bodies and boundary conditions of such bodies, e.g., springs, dampers, and possibly simple contacts. Here an object oriented modelling approach for multibody simulation and modelling is presented that, in comparison to common approaches, puts emphasis on integrated contact modelling and visualisation. The visualisation techniques are commonly used to verify the system model visually and to analyse simulation results. Data visualisation covers a broad spectrum within research and development. The focus is often on detailed solutions covering a fraction of the whole visualisation process. The novel visualisation aspect of the work presented here is that it presents techniques covering the entire visualisation process integrated with modeling and simulation. This includes a novel data structure for efficient storage and visualisation of multidimensional transient surface related data from detailed contact calculations. Different mechanical system simulation models typically focus on different parts (sub-systems) of a system. To fully understand a complete mechanical system it is often necessary to investigate several or all parts simultaneously. One solution for a more complete system analysis is to couple different simulation models into one coherent simulation. Part of this work is concerned with such co-simulation modelling. Co-simulation modelling typically focuses on data handling, connection modelling, and numerical stability. This work puts all emphasis on ease of use, i.e., making mechanical system co-simulation modelling applicable for a larger group of people. A novel meta-model based approach for mechanical system co-simulation modelling is presented. The meta-modelling process has been defined and tools and techniques been created to fully support the complete process. A component integrator and modelling environment are presented that support automated interface detection, interface alignment with automated three-dimensional coordinate translations, and three dimensional visual co-simulation modelling. The integrated simulator is based on a general framework for mechanical system co-simulations that guarantees numerical stability

Broad Band X-Ray Observations of the Narrow Line X-Ray Galaxy NGC 5506

We present a detailed analysis of broad band X-ray data of the Seyfert 2 galaxy NGC5506. 2-10 keV band are detected during a 1-day ASCA observation, while no significant change in the 2-10 keV continuum shape is found. The ASCA spectrum consists of an absorbed power-law, a 'soft excess' below 2 keV, and an Fe K$\alpha$ emission line at 6.4 keV. The 'soft excess' can be well described by either thermal emission from very low abundance material at a temperature kT$\simeq$0.8 keV, or scattered/leaking flux from the primary power-law plus a small amount of thermal emission. Analysis of ROSAT HRI data reveals that the soft X-ray emission is extended on kpc scales in this object, and the extended component may account for most of the soft X-ray excess observed by the ASCA. The result suggests that in this type 2 AGN, the 'soft excess' at least partly comes from an extended region, imposing serious problem for the model in which the source is partially covered. Fe K$\alpha$ profile is complex and can not be satisfactorily modeled by a single gaussian. Models of either double gaussians, or a narrow gaussian plus a line from a relativistic accretion disk viewed at an inclination of about 40$\pm10^\circ$ provide good fits to the data. However, the inclination of the disk can be substantially larger if there is a small amount of excessive Fe K edge absorption. The intermediate inclinations for NLXGs are consistent with the ideas that the inner accretion disk is aligned with the outer obscuring torus.Comment: 8 pages, 5 postscript figures. to appear in Astrophy. J., 1999, April 2

Aggregate process planning and manufacturing assessment for concurrent engineering

The introduction of concurrent engineering has led to a need to perform product development tasks with reduced information detail. Decisions taken during the early design stages will have the greatest influence on the cost of manufacture. The manufacturing requirements for alternative design options should therefore be considered at this time. Existing tools for product manufacture assessment are either too detailed, requiring the results of detailed design information, or too abstract, unable to consider small changes in design configuration. There is a need for an intermediate level of assessment which will make use of additional design detail where available, whilst allowing assessment of early designs. This thesis develops the concept of aggregate process planning as a methodology for supporting concurrent engineering. A methodology for performing aggregate process planning of early product designs is presented. Process and resources alternatives are identified for each feature of the component and production plans are generated from these options. Alternative production plans are assessed in terms of cost, quality and production time. A computer based system (CESS, Concurrent Engineering Support System) has been developed to implement the proposed methodology. The system employs object oriented modelling techniques to represent designs, manufacturing resources and process planning knowledge. A product model suitable for the representation of component designs at varying levels of detail is presented. An aggregate process planning functionality has been developed to allow the generation of sets of alternative plans for a component in a given factory. Manufacturing cost is calculated from the cost of processing, set-ups, transport, material and quality. Processing times are calculated using process specific methods which are based on standard cutting data. Process quality cost is estimated from a statistical analysis of historical SPC data stored for similar operations performed in the factory, where available. The aggregate process planning functionality has been tested with example component designs drawn from industry

Multi-wavelength spectral modelling of the candidate neutrino blazar PKS 0735+178

The BL Lac object PKS 0735+178 was in its historic $\gamma$-ray brightness state during December 2021. This period also coincides with the detection of a neutrino event IC211208A, which was localized close to the vicinity of PKS 0735+178. We carried out detailed $\gamma$-ray timing and spectral analysis of the source in three epochs (a) quiescent state ($E_{1}$), (b) moderate activity state ($E_{2}$) and (c) high activity state ($E_{3}$) coincident with the epoch of neutrino detection. During the epoch of neutrino detection ($E_{3}$), we found the largest variability amplitude of 95%. The $\gamma$-ray spectra corresponding to these three epochs are well fit by the power law model and the source is found to show spectral variations with a softer when brighter trend. In the epoch $E_{3}$, we found the shortest flux doubling/halving time of 5.75 hrs. Even though the spectral energy distribution in the moderate activity state and in the high activity state could be modeled by the one-zone leptonic emission model, the spectral energy distribution in the quiescent state required an additional component of radiation over and above the leptonic component. Here we show that a photo-meson process was needed to explain the excess $\gamma$-ray emission in the hundreds of GeV which could not be accounted for by the synchrotron self-Compton process.Comment: Accepted by MNRA

Evaluating Cluster Policies: A Unique Model? Lessons To Be Drawn From a Comparison Between French and European Experiences.

Although there is a consensus concerning the need for public policy evaluation, there is no stable doctrine regarding the way such assessments should be carried out. Different models coexist or succeed one another; it is, for example, possible to schematically oppose a ballistic model of evaluation “of the action” to an emergent model of evaluation “in the action”. The aim of this article is to analyse the evolution in public policy evaluations and the difficulties inherent in them by studying the French cluster evaluation undertaken in 2008. This evaluation was planned from the beginning as a component of the cluster policy, with the aim of modifying the policy in the light of its initial results. We first put into perspective the doctrines and methodologies underpinning public policy evaluation in general and cluster evaluation in particular. We then study the procedures used in the French cluster evaluation, comparing them to four international cases (Germany, Belgium, Finland and Austria). The analysis is based on a detailed examination of documents relevant to the evaluation, on our empirical knowledge of the French clusters, and on discussions with territorial and national actors involved in the cluster policy. The article reveals the inherent difficulties in cluster evaluation processes. These difficulties are mostly related to the systemic, multi-actor and heterogeneous characteristics of the object “cluster”. Analysing the usage and the effects of the evaluation on the various actors allows us to conclude that cluster evaluation in France is a learning source for the progressive construction of a cluster doctrine and a doctrine of its management. The evaluation, grounded in an interactive approach, becomes part of a larger process, a knowledge process benefiting both the government and the local actors concerned. Integrated from the outset into the cluster management system, the evaluation becomes a tool amongst others; it is therefore less consistent with a model of objective, incontestable and independent knowledge production than with an instrument to help decision-makers forge their choices.Public policy; evaluation methodology; evaluation; cluster;

Guiding object recognition: a shape model with co-activation networks

The goal of image understanding research is to develop techniques to automatically extract meaningful information from a population of images. This abstract goal manifests itself in a variety of application domains. Video understanding is a natural extension of image understanding. Many video understanding algorithms apply static-image algorithms to successive frames to identify patterns of consistency. This consumes a significant amount of irrelevant computation and may have erroneous results because static algorithms are not designed to indicate corresponding pixel locations between frames. Video is more than a collection of images, it is an ordered collection of images that exhibits temporal coherence, which is an additional feature like edges, colors, and textures. Motion information provides another level of visual information that can not be obtained from an isolated image. Leveraging motion cues prevents an algorithm from ?starting fresh? at each frame by focusing the region of attention. This approach is analogous to the attentional system of the human visual system. Relying on motion information alone is insufficient due to the aperture problem, where local motion information is ambiguous in at least one direction. Consequently, motion cues only provide leading and trailing motion edges and bottom-up approaches using gradient or region properties to complete moving regions are limited. Object recognition facilitates higher-level processing and is an integral component of image understanding. We present a components-based object detection and localization algorithm for static images. We show how this same system provides top-down segmentation for the detected object. We present a detailed analysis of the model dynamics during the localization process. This analysis shows consistent behavior in response to a variety of input, permitting model reduction and a substantial speed increase with little or no performance degradation. We present four specific enhancements to reduce false positives when instances of the target category are not present. First, a one-shot rule is used to discount coincident secondary hypotheses. Next, we demonstrate that the use of an entire shape model is inappropriate to localize any single instance and introduce the use of co-activation networks to represent the appropriate component relations for a particular recognition context. Next, we describe how the co-activation network can be combined with motion cues to overcome the aperture problem by providing context-specific, top-down shape information to achieve detection and segmentation in video. Finally, we present discriminating features arising from these enhancements and apply supervised learning techniques to embody the informational contribution of each approach to associate a confidence measure with each detection