Cat Sim incorporates polychromaticity, realistic quantum and electronic noise models, finite focal spot size and shape, finite detector cell size, detector cross-talk, detector lag or afterglow, bowtie filtration, finite detector efficiency, non-linear partial volume, scatter (variance-reduced Monte Carlo), and absorbed dose. Cat Sim allows simulating complex analytic phantoms, such as the FORBILD phantoms, including boxes, ellipsoids, elliptical cylinders, cones, and cut planes.
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The main requirements for this simulator are accurate physics modeling, low computation times, and geometrical flexibility. Cat Sim provides a research platform for GE researchers and collaborators to explore new reconstruction algorithms, CT architectures, and X-ray source or detector technologies. We present a new simulation environment for X-ray computed tomography, called Cat Sim. Marks River Watershed in northwestern Florida.Ĭat Sim: a new computer assisted tomography simulation environmentĭe Man, Bruno Basu, Samit Chandra, Naveen Dunham, Bruce Edic, Peter Iatrou, Maria McOlash, Scott Sainath, Paavana Shaughnessy, Charlie Tower, Brendon Williams, Eugene The model is advantageous in that it obviates the need for a sophisticated numerical model that is much more costly to calibrate and operate. Noting that spring discharge is an integral of all aspects of water storage and flow, it is mainly dependent on the behavior of the karst aquifer as a whole and can be adequately simulated using the analytical model described in this paper. The model represents a combination of a traditional linear reservoir model with turbulent hydrodynamics in the solution conduit connecting the downstream spring with the upstream sinkhole, which allows for the simulation of spring discharges and estimation of sinkhole porosity. In this paper we develop a mathematical model to approximate sinkhole porosity from discharge at a downstream spring. Assessing water balances in karst watersheds can be difficult, however, because karst watersheds are so very strongly affected by groundwater flows through solution conduits that are often connected to one or more sinkholes. This paper describes the capabilities and operations of SimGraph.Ī mathematical model for simulating spring discharge and estimating sinkhole porosity in a karst watershedĭocumenting and understanding water balances in a karst watershed in which groundwater and surface water resources are strongly interconnected are important aspects for managing regional water resources. Although it was created for the flight simulation facilities at NASA Langley Research Center, SimGraph can be reconfigured to almost any data visualization environment. The SimGraph framework can be reused for a wide variety of visualization tasks. A new display can be developed and added to SimGraph without having to design a new application, allowing the graphics programmer to focus on the development of the graphical display.
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SimGraph can accommodate the addition of new graphical displays to allow the software to be customized to each user s particular environment. Data produced from a flight simulation is presented by SimGraph in several different formats, including: 3-Dimensional Views, Cockpit Control Views, Heads-Up Displays, Strip Charts, and Status Indicators. Simulation Graphics ( SimGraph) is an object-oriented data visualization software package that presents simulation data in animated graphical displays for easy interpretation.
Therefore, a method of merging related data together and presenting it to the user in a more comprehensible format is necessary. Today's modern flight simulation research produces vast amounts of time sensitive data, making a qualitative analysis of the data difficult while it remains in a numerical representation. SimGraph: A Flight Simulation Data Visualization Workstation
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