Machine Learning Approaches to Data Reduction from the MapX X-ray Fluorescence Instrument for Detection of Biosignatures and Habitable Planetary Environments

Walroth, Richard C ; Blake, David F

关键词: BIOMARKERS;    DATA REDUCTION;    EXTINCTION;    GEOLOGY;    HABITABILITY;    IMAGING TECHNIQUES;    MACHINE LEARNING;    PLANETARY ENVIRONMENTS;    PLANETARY SURFACES;    SPECTROMETERS;    X RAY FLUORESCENCE;   

RP-ID  :  ARC-E-DAA-TN69591

学科分类：生物科学（综合）

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

The search for evidence of life or its processes involves the detection of biosignatures suggestive of extinct or extant life, or the determination that an environment either has or once had the potential to harbor life. In situ elemental imaging is useful in either case, since features on the mm to μm scale reveal geological processes which may indicate past or present habitability. The Mapping X-ray Fluorescence Spectrometer (MapX) is an in-situ instrument designed to identify these features on planetary surfaces. Here we present progress on instrument development, data analysis methods, and element quantification.