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11	Visualising earth's magnetosphere interacting with the solar wind using numerical methods and semi-transparent surfaces Elfström, Rickard January 2022 (has links) Data visualization is a field dedicated to effectively showing large amounts of collected data. A field where data visualization has shown promising results in its ways to effectively answer questions is the fundamental research of the universe. This thesis describes how to visualize the Earth’s magnetosphere as it interacts with the solar wind, using numerical methods, semi-transparent surfaces, and contours in OpenSpace. A magnetosphere module was implemented into OpenSpace, and the OpenSpace GUI was extended to give the user a possibility to interact with the visualization. The implemented algorithm in the magnetosphere module was measured in terms of speed, robustness, and user understanding. The implementation made it possible to visualize a simple model of the Earth’s magnetosphere, both when it interacts and when it does not interact with the solar wind. The measured speed showed a trend of a linear increase when more magnetic field lines were added to the visualization, where the run time was low for all tests. The algorithm was shown to be robust in its creation of the magnetosphere. When asked about what the users thought of the implemented visualization, a majority were positive and thought it to be a good complement to learning about the Earth’s magnetosphere. For a realistic model, there is a possibility that the speed and robustness may get worse, but the results are good for a simple model. To make the visualization itself more informative, more highlights are needed for important parts of the structure, as well as different colors that differ on which surfaces belong to which geographical pole. / Creative Exploration of the Atmosphere Data visualization Visualization OpenSpace numerical methods Space Earth's magnetosphere Solar wind Övrig annan teknik
12	Implementing an Interactive Simulation Data Pipeline for Space Weather Visualization Berg, Matthias, Grangien, Jonathan January 2018 (has links) This thesis details work carried out by two students working as contractors at the Community Coordinated Modelling Center at Goddard Space Flight Center of the National Aeronautics and Space Administration. The thesis is made possible by and aims to contribute to the OpenSpace project. The first track of the work implemented is the handling of and putting together new data for a visualization of coronal mass ejections in OpenSpace. The new data allows for observation of coronal mass ejections at their origin by the surface of the Sun, whereas previous data visualized them from 30 solar radii out from the Sun and outwards. Previously implemented visualization techniques are used together to visualize different volume data and fieldlines, which together with a synoptic magnetogram of the Sun gives a multi-layered visualization. The second track is an experimental implementation of a generalized and less user involved process for getting new data into OpenSpace, with a priority on volume data as that was a subject of experience. The results show a space weather model visualization, and how one such model can be adapted to fit within the parameters of the OpenSpace project. Additionally, the results show how a GUI connected to a series of background events can form a data pipeline to make complicated space weather models more easily available. OpenSpace NASA solar data volume rendering data loading data pipeline GUI fieldlines data visualization space exploration thesis Media and Communication Technology Medieteknik
13	Contextualization of Autonomous Spaceflight Operations for deep space planetary encounters Marcinkowski, Michal January 2018 (has links) This work concerns the research and application of data visualization techniques to depict ongoing activities in mankinds investigation of space as part of a larger open-source visualization- and science-outreach software known as OpenSpace. It involves the construction of a physically accurate virtual environment of our local star group and solar system so as to facilitate development of a robust and generalized solution capable of articulating mission-science to its viewers. The research part is focused on deploying data visualization methods suitable for contextualizing scientific findings towards the general public in a pedagogical manner, with the end goal to provide a fully operational New Horizons visualization on the day of encounter with Pluto for the first public broadcast of OpenSpace across the globe. OpenSpace Visualization contextualization mission science American Museum of Natural History AMNH Hayden Planetarium Digital Universe Universe solar system Pluto Jupiter Encounter NASA New Horizons Data Visualization Rendering shader GLS Datateknik Datateknik Computer Engineering Datorteknik
14	Design and Implementation of an Out-of-Core Globe Rendering System Using Multiple Map Services / Design och Implementering av ett Out-of-Core Globrenderingssystem Baserat på Olika Karttjänster Bladin, Kalle, Broberg, Erik January 2016 (has links) This thesis focuses on the design and implementation of a software system enabling out-of-core rendering of multiple map datasets mapped on virtual globes around our solar system. Challenges such as precision, accuracy, curvature and massive datasets were considered. The result is a globe visualization software using a chunked level of detail approach for rendering. The software can render texture layers of various sorts to aid in scientific visualization on top of height mapped geometry, yielding accurate visualizations rendered at interactive frame rates. The project was conducted at the American Museum of Natural History (AMNH), New York and serves the goal of implementing a planetary visualization software to aid in public presentations and bringing space science to the public. The work is part of the development of the software OpenSpace, which is the result of a collaboration between Linköping University, AMNH and the National Aeronautics and Space Administration (NASA) among others. level of detail lod out of core tile rendering system openspace open space medieteknik norrköping OpenGL maps gdal gis esri nasa gibs esa globe global planet visualization scientific visualization height map caching dynamic real Software Engineering Programvaruteknik
15	Space Weather Simulation Model Integration Molin, Alice, Johnstone, Julia January 2023 (has links) Space weather is the field within the space sciences that studies how the Earths magnetosphere is influenced by the Sun. The Sun is constantly emitting dangerous radiation and plasma which in some cases can affect or damage the systems on Earth. Scientists have an interest in studying this interaction and therefore visualizations of space weather data are useful. OpenSpace is an interactive software that visualizes the entire known universe with real-time data. OpenSpace supports a range of different visualization methods and techniques, for this work, the relevant visualization tools are field lines and cut planes. GAMERA is a simulation model that simulates a wide range of situations where plasma is subjected to the influence of magnetic fields, the simulations are based on curvilinear grids. This project focuses on implementing data from GAMERA into OpenSpace. OpenSpace already supports a variety of different simulation models, although none that uses curvilinear grids for the data. The curvilinear grid can adapt to the specific shape and geometry of the data, allowing for more accurate data representation. The project aims to create a pipeline for reading data files from simulation runs and visualize it as field lines and cut planes. The files used in this project contain data suitable for volumes and field lines. The method was to first develop a reader to extract and manage desired data from HDF5 files in which the simulation data is stored. The data used to visualize field lines is rendered with an already existing component in OpenSpace. Secondly, a slice operation was developed to extract cut planes from the files containing data for volume visualization, these are then visualized with the help of a component for rendering cut planes which was developed during this work. The work led to a pipeline that reads and manages simulation data from GAMERA and the data is successfully visualized. However, there is room for improvement in color rendering, robustness and level of user interaction during runtime. / <p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p> simulation model OpenSpace GAMERA HDF5 NASA space weather magnetosphere field lines cut plane curvilinear grids data extraction integration visualization hierarchical data format textures transfer function Medicinsk teknik Medicinsk teknik Media and Communication Technology Medieteknik

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