711 research outputs found

    The Future of X-ray Time Domain Surveys

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    Modern X-ray observatories yield unique insight into the astrophysical time domain. Each X-ray photon can be assigned an arrival time, an energy and a sky position, yielding sensitive, energy-dependent light curves and enabling time-resolved spectra down to millisecond time-scales. Combining those with multiple views of the same patch of sky (e.g., in the Chandra and XMM-Newton deep fields) so as to extend variability studies over longer baselines, the spectral timing capacity of X-ray observatories then stretch over 10 orders of magnitude at spatial resolutions of arcseconds, and 13 orders of magnitude at spatial resolutions of a degree. A wealth of high-energy time-domain data already exists, and indicates variability on timescales ranging from microseconds to years in a wide variety of objects, including numerous classes of AGN, high-energy phenomena at the Galactic centre, Galactic and extra-Galactic X-ray binaries, supernovae, gamma-ray bursts, stellar flares, tidal disruption flares, and as-yet unknown X-ray variables. This workshop explored the potential of strategic X-ray surveys to probe a broad range of astrophysical sources and phenomena. Here we present the highlights, with an emphasis on the science topics and mission designs that will drive future discovery in the X-ray time domain.Comment: 8 pages, 1 figure, Conference proceedings for IAU Symposium 285, "New Horizons in Time Domain Astronomy," Oxford, UK, Sep 19-23, 2011. To be published by IA

    A problem structuring method for ecosystem-based management : the DPSIR modelling process

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    The purpose of this paper is to learn from Complex Adaptive Systems (CAS) theory to inform the development of Problem Structuring Methods (PSMs) both in general and in the specific context of marine management. The focus on marine management is important because it is concerned with a CAS (formed through the interconnection between natural systems, designed systems and social systems) which exemplifies their particularly ‘wicked' nature. Recognition of this compels us to take seriously the need to develop tools for knowledge elicitation and structuring which meet the demands of CAS. In marine management, chief among those tools is the DPSIR (Drivers - Pressures - State Changes - Impacts - Responses) model and, although widely applied, the extent to which it is appropriate for dealing with the demands of a CAS is questionable. Such questioning is particularly pertinent in the context of the marine environment where there is a need to not only recognise a broad range of stakeholders (a question of boundary critique) but also to manage competing knowledge (economic, local and scientific) and value claims. Hence this paper emphasises how a CAS perspective might add impetus to the development of a critical perspective on DPSIR and PSM theory and practice to promote a more systemic view of decision-making and policy development

    Management of the marine environment: Integrating ecosystem services and societal benefits with the DPSIR framework in a systems approach

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    Ever increasing and diverse use of the marine environment is leading to human-induced changes in marine life, habitats and landscapes, making necessary the development of marine policy that considers all members of the user community and addresses current, multiple, interacting uses. Taking a systems approach incorporating an understanding of The Ecosystem Approach, we integrate the DPSIR framework with ecosystem services and societal benefits, and the focus this gives allows us to create a specific framework for supporting decision making in the marine environment. Based on a linking of these three concepts, we present a set of basic postulates for the management of the marine environment and emphasise that these postulates should hold for marine management to be achieved. We illustrate these concepts using two case studies: the management of marine aggregates extraction in UK waters and the management of marine biodiversity at Flamborough Head, UK. (C) 2010 Elsevier Ltd. All rights reserved

    Takitaki mai : a guide to motivational interviewing for Māori.

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    The Isolation and Identification of a Causative Agent of the Feather Disorder Found in African Penguins (Spheniscus demersus)

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    Beginning in 2006, wild juvenile African Penguins (Spheniscus demersus) began to prematurely lose their juvenile feathers without immediate regrowth and were brought to the South African Foundation for the Conservation of Coastal Birds (SANCCOB) for rehabilitation5. Without immediate regrowth of feathers, energy is shunted away from growth and used for thermoregulation and metabolism. It has previously been hypothesized that potential viral and bacterial infections may be causing this disorder3,4. To test for this, Avian Polyomavirus (APV) nucleic acids, Budrigars Beak and Feather Disease Virus (BFDV) nucleic acids, and any bacterial nucleic acids were attempted to be isolated from the blood of affected penguins. Blood was drawn from affected and non-affected African Penguins at SANCCOB and stored in 70% ethanol. These samples were collected in 2008 and 2010. The samples were shipped to St. John Fisher College in Rochester, NY during the winter of 2011. Nucleic acids were then extracted from the blood using a QIAamp Blood DNA Mini. After confirmation of DNA via gel electrophoresis, PCR was performed using 2X OneTaq Megamix, water, and primers specific to the targeted viral and bacterial DNA. Gel electrophoresis was run on the PCR products. If DNA was observed at an expected range, then the PCR product was purified using a QIAquick PCR Purification Kit using the protocol included. The purified samples were sent to ATCG, Inc. for sequencing. The results were analyzed using NCBI BLAST. To date, six sequencing samples have shown the prevalence of APV, BFDV, and/or bacteria in the blood of affected penguins

    Testing general relativity with accretion onto compact objects

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    The X-ray emission of neutron stars and black holes presents a rich phenomenology that can lead us to a better understanding of their nature and to address more general physics questions: Does general relativity apply in the strong gravity regime? Is spacetime around black holes described by the Kerr metric? This white paper considers how we can investigate these questions by studying reverberation mapping and quasi-periodic oscillations in accreting systems with a combination of high-spectral and high-timing resolution. In the near future, we will be able to study compact objects in the X-rays in a new way: advancements in transition-edge sensors (TES) technology will allow for electron-volt-resolution spectroscopy combined with nanoseconds-precision timing.Comment: White paper submitted for Astro2020 Decadal Survey. 8 pages, 2 figure

    A Large, Uniform Sample of X-ray Emitting AGN from the ROSAT All-Sky and Sloan Digital Sky Surveys: the Data Release 5 Sample

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    We describe further results of a program aimed to yield ~10^4 fully characterized optical identifications of ROSAT X-ray sources. Our program employs X-ray data from the ROSAT All-Sky Survey (RASS), and both optical imaging and spectroscopic data from the Sloan Digital Sky Survey (SDSS). RASS/SDSS data from 5740 deg^2 of sky spectroscopically covered in SDSS Data Release 5 (DR5) provide an expanded catalog of 7000 confirmed quasars and other AGN that are probable RASS identifications. Again in our expanded catalog, the identifications as X-ray sources are statistically secure, with only a few percent of the SDSS AGN likely to be randomly superposed on unrelated RASS X-ray sources. Most identifications continue to be quasars and Seyfert 1s with 15<m<21 and 0.01<z<4; but the total sample size has grown to include very substantial numbers of even quite rare AGN, e.g., now including several hundreds of candidate X-ray emitting BL Lacs and narrow-line Seyfert 1 galaxies. In addition to exploring rare subpopulations, such a large total sample may be useful when considering correlations between the X-ray and the optical, and may also serve as a resource list from which to select the "best" object (e.g., X-ray brightest AGN of a certain subclass, at a preferred redshift or luminosity) for follow-on X-ray spectral or alternate detailed studies.Comment: Accepted for publication in AJ; 32 pages, including 11 figures, and 6 example table
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