Urban biodiversity conservation needs a firm scientific foundation, one that draws upon active and regionally calibrated research programs. Until recently this foundation has not existed. In this paper we examine the ...
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Collaborating across disciplines can be a difficult task for a variety of reasons. One of which is the lack of common methodologies and tools for visualization and analysis. Tools developed in one group can rarely be ...
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ISBN:
(纸本)9780816910656
Collaborating across disciplines can be a difficult task for a variety of reasons. One of which is the lack of common methodologies and tools for visualization and analysis. Tools developed in one group can rarely be applied directly to data from another group, due to differences in data formats, analysis methodologies, and learning curves associated with the advanced visualization systems necessary for modern scientificdata. Despite these difficulties, multi-physics collaboration is key to developing and understanding the next generation of computational models, which couple the dynamic processes and scales of multiple disciplines. As a step towards integrative models, we propose a visualization and analysis system to serve as a common interconnect between chemical and nuclear engineering. This choice allows multiple organizations to fruitfully exchange data and example visualizations in a reproducible manner, providing a foundation for productive discussion. In this work, we demonstrate the utility of a visualization system as it applies to bridging simulation domains and providing for multidisciplinary research in nuclear and chemical engineering.
Highly sensitive and precise X‐ray imaging from Chandra, combined with the superb spatial resolution of HST optical images, dramatically enhances our empirical understanding of compact binaries such as cataclysmic va...
Highly sensitive and precise X‐ray imaging from Chandra, combined with the superb spatial resolution of HST optical images, dramatically enhances our empirical understanding of compact binaries such as cataclysmic variables and low mass X‐ray binaries, their progeny, and other stellar X‐ray source populations deep into the cores of globular clusters. Our Chandra X‐ray images of the globular cluster NGC 362 reveal 100 X‐ray sources, the bulk of which are likely cluster members. Using HST color‐magnitude and color‐color diagrams, we quantitatively consider the optical content of the NGC 362 Chandra X‐ray error circles, especially to assess and identify the compact binary population in this condensed‐core globular cluster. Despite residual significant crowding in both X‐rays and optical, we identify an excess population of Hα‐emitting objects that is statistically associated with the Chandra X‐ray sources. The X‐ray and optical characteristics suggest that these are mainly cataclysmic variables, but we also identify a candidate quiescent low mass X‐ray binary. A potentially interesting and largely unanticipated use of observations such as these may be to help constrain the macroscopic dynamic state of globular clusters.
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