NASA’s Mars 2020 Mission is to study Mars’ habitability and seek signs of past microbial life. The mission uses an X-ray fluorescence spectrometer to identify chemical elements at sub-millimeter scales of the Mars surface. The instrument captures high spatial resolution observations comprised of several thousand individual measured points by raster-scanning an area of the rock surface. This paper will show how different methods, including linear regression, k-means clustering, image segmentation, similarity functions, and Euclidean distances, perform when analyzing datasets provided by the X-ray fluorescence spectrometer to assist scientists in understanding the distribution and abundance variations of chemical elements making up the scanned surface. We also created an interactive map to correlate the x-ray spectrum data with a visual image acquired by an RBG camera.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Modeling Data of Planetary Instrument for X-ray Lithochemistry (PIXL) for Mars 2020


    Contributors:
    Eng, Albert (author) / Hamalainen, Rimma (author) / Tran, Tomothy (author) / Cruz, Gerry (author) / Nhut, Ho (author) / Davidoff, Scott (author) / Liu, Li (author)


    Publication date :

    2023-07-01


    Size :

    7060853 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English