Data visualization tools for the MAVEN mission. 1 · PDF file Data visualization tools for the...

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  • Data visualization tools for the MAVEN mission. Alexandria DeWolfe,1 Bryan Harter,1 David Brain.1 1Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO.

    Introduction: The Mars Atmospheric and Volatile

    Evolution (MAVEN) mission has been collecting data at Mars since September 2014. We have developed a set of web-based visualizations for exploring MAVEN science data, available at the MAVEN public website at: https://lasp.colorado.edu/maven/sdc/public/

    Using the MAVEN Key Parameter data, a com-

    bined set of data from all instruments, we generate a set of interactive plots using the Highcharts Javascript plotting package. This allows users to plot multiple quantities simultaneously, pan and zoom around the data to explore regions of interest, and extract datasets from the plots as displayed. Data is streamed to the page using the LASP-developed LaTiS software. The plots are built in JQueryUI panels, allowing users to hide and rearrange panels to select and compare da- tasets of interest.

    We have also been exploring 3D graphics as a way to better visualize the MAVEN science data and mod- els. We have constructed a 3D visualization of MAVEN’s orbit using the CesiumJS library. The visu- alization is interactive, allowing rotation and zooming, and playback of one day’s orbit at a time. We read in data from the KP dataset to display MAVEN’s orienta- tion and position, as well as the option to display se- lected science data sets and their variation over time. The M-GITM model can be overlaid on the planet as well.

    We are currently adapting the Cesium 3D display

    for the MMS mission, in order to display the 4 space- craft in formation around Earth. We can read in SPICE kernels to provide ephemeris and pointing data. Future plans include options to display instrument field-of-

    view, and adaptation for other missions beyond MAVEN and MMS.

    7066.pdf3rd Planetary Data Workshop 2017 (LPI Contrib. No. 1986)