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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 1,153 records · Page 64
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NASA NTRSDate not supplied

Potential Discovery of Amphibole in Miller Range (MIL) 090292 via Raman Spectroscopy

Ungrouped carbonaceous chondrites have the potential to provide insights into processes on their parent bodies that may not be accessible through studying established groups. Miller Range (MIL) 090292 is an extensively aqueously altered ungrouped carbonaceous chondrite, which provides the potential to reveal new information about alteration processes on carbonaceous chondrite-like asteroids. The meteorite MIL090292 was initially classified as a CR1 chondrite. It experienced heavy aqueous alteration and, texturally, the meteorite is highly brecciated. MIL 090292 was reclassified as a C1 ungrouped chondrite after it was found that the Δ17O values of its magnetite grains do not plot along the CR mixing line. Furthermore, there is a lack of calcium carbonate grains in the sample, which are common in aqueously altered CRs –calcium is found in andradite and hedenbergite (which are not found in CRs) and phosphates. However, beyond this basic mineralogical information, there is a lack of knowledge about the petrogenetic history of the meteorite or its parent body.

Meteorite↗
NASA NTRSDate not supplied

Statistical Classification of Biosignature Information: Combining Elemental, Molecular, Reflectance, and Raman Data to Increase Life Detection Confidence

Planetary exploration missions seeking past or present signs of life carry not just a single instrument, but a suite. There is a need to study how these multiple data types can be combined to create “composite” biosignatures [1]. Algorithmic methods using existing data on living and non-living systems, though limited by the n = 1 of Earth, can nonetheless be informative. We assembled a database of 1277 measurements spanning 16 representative systems either indicative or non-indicative of life. Five classification (machine learning) methods were used on each individual data type, then on the entire set. This abstract summarizes the results; the data is described in more detail in [2], and methods in [3].

Biosignatures↗