The increasing size of cosmological simulations has led to the need for new visualization techniques. We focus on Smoothed Particle Hydrodynamical (SPH) simulations run with the GADGET code and describe methods for visually accessing the entire simulation at full resolution. The simulation snapshots are rastered and processed on supercomputers into images that are ready to be accessed through a web interface (GigaPan). This allows any scientist with a web-browser to interactively explore simulation datasets in both in spatial and temporal dimensions, datasets which in their native format can be hundreds of terabytes in size or more. We present two examples, the first a static terapixel image of the MassiveBlack simulation, a P-GADGET SPH simulation with 65 billion particles, and the second an interactively zoomable animation of a different simulation with more than one thousand frames, each a gigapixel in size. Both are available for public access through the GigaPan web interface. We also make our imaging software publicly available.
This design case explores the affordances of gigapixel image technology for science communication and learning in museum settings through the iterative development of an explorable image viewer to engage visitors in an archaeological exhibit. We reflect on the series of user studies, prototype iterations, and design decisions taken to optimize navigation, annotation and exploration in this zoomable user interface. We highlight a set of design precedents, interaction frameworks, and content structuring approaches, while detailing the development of a media rich digital annotation strategy to augment interpretation, commentary, and conversation about a petroglyph site. Through this work, we highlight the unique affordances of multiscalar image platforms to scaffold disciplinary observation and engagement with scientific content.
Abstract-The technology for practical, short-range electric commuter vehicles (EVs) is here now! The ChargeCar project at Carnegie Mellon University aims to exploit today's technology to make efficient, clean, quiet, commuter electric vehicles available to the public, while providing a basis for local economic development and increasing public awareness of EVs. We have developed a "kit" of modular components that can be used to convert a conventional gasoline-powered car to 100% electric power in a matter of a few days, utilizing commercial-off-the-shelf (COTS) components, along with existing manufacturing facilities and automotive garages. This kit has been installed and tested in two Honda Civics, and has performed well in over 3500 miles of driving. The prototype vehicles have a range of 40+ miles, top speed in excess of 70 mph, and charge overnight on any 120 VAC receptacle. Present efforts are toward commercializing the manufacturing and conversion process, while continuing related research in compound energy sytems-e.g. battery plus ultracapacitor-and pursuing educational efforts with the public and local schools.
Recent literature suggests that particle toxicity increases with decreasing particle diameter and increasing total particle surface area. Most inexpensive particle monitors are based upon light scattering and tend to lose sensitivity for particles with diameters less than about 0.3-0.35 µm. This raises the question of whether the measurement of PM2.5 "misses" the potential impact of very small particles (e.g. below 0.3 µm) due to lack of sensitivity and/or the low mass concentrations that these particles contribute to the total PM2.5. On the other hand, measuring only ultrafine particles (e.g. below 0.1 µm) would exclude significant numbers of still very small particles. The focus of simulating a novel particle monitor in this study, is to address limitations in current inexpensive particle monitors, and to realize a particle monitor that may be more relevant to adverse health outcomes by measuring both PM0.3 and PM2.5. The monitor uses optical scattering techniques, measuring light scattering by the particles at two forward angles, to determine PM0.3 and PM2.5. Experimental data from particle monitor prototypes that were developed show good agreement with simulation results. Such a monitor, that is low-cost and easy to use, can provide information directly to the users so that they can be driven to action. In particular, low-income communities that are often impacted by poor air quality will be able to more affordably determine real-time ambient conditions and drive positive change by helping to identify pollution sources and appropriate mitigation measures.
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