Using ChemCam LIBS data to constrain grain size in rocks on Mars: Proof of concept and application to rocks at Yellowknife Bay and Pahrump Hills, Gale crater
[1];
[2];
[5];
[6];
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[8];
- Univ. of California, Davis, CA (United States). Dept. of Earth and Planetary Sciences; Dartmouth College, Hanover, NH (United States). Dept. of Earth Sciences
- Univ. of California, Davis, CA (United States). Dept. of Earth and Planetary Sciences
- Univ. of Nantes (France). Lab. of Planetology and Geodynamics
- California Inst. of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab.
- Univ. of Toulouse (France). Research Inst. in Astrophysics and Planetology (IRAP)
- Univ. of New Mexico, Albuquerque, NM (United States). Inst. of Meteoritics. Dept. of Earth and Planetary Sciences
- Univ. of Florida, Gainesville, FL (United States). Dept. of Geological Sciences
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Grain size in martian sedimentary rocks can be constrained using point-to-point chemical variabilities in Laser Induced Breakdown Spectroscopy (LIBS) data from the ChemCam instrument on the Mars Science Laboratory (MSL) Curiosity rover. The diameter of each point ablated by the ChemCam laser is in the range of medium to coarse sand in size. Thus, rocks with grains significantly smaller than the laser spot size produce bulk rock compositions at each LIBS point and low point-to-point chemical variability among LIBS points. In contrast, analyses of rocks with grains about the size of the spot or larger contain contributions from individual grains at each point and often have high point-to-point chemical variability. Here the Gini index, a statistical parameter, was used to calculate the point-to-point chemical variability in major-element oxide compositions derived from the ChemCam LIBS data. First, the total range of each LIBS major-element oxide composition was normalized from 0 to 1 across all LIBS observations. Then the Gini index was calculated for each oxide in each LIBS observation. Finally, the Gini indices of each oxide were averaged to derive a Gini index mean score, GMEAN, for each LIBS observation. A correlation between GMEAN and grain size was validated using sedimentary rocks of various grain sizes from the Yellowknife Bay formation and the Pahrump Hills member of the Murray formation in Gale crater. Overall, finer-grained rocks had smaller GMEAN than coarser-grained rocks. To calibrate GMEAN to grain size, grain size estimates based on visual assessment of high-resolution images were compared to GMEAN values for the same targets to create a calibrated scale. This calibrated scale was used to infer the grain size of rocks with unknown grain size. Overall, the grain sizes predicted for rocks with unknown grain size overlapped with those of known grain size from the same units and/or bedrock targets. The grain sizes inferred using the GMEAN based on ChemCam LIBS data are complimentary to those determined from images and both techniques can be used to improve interpretations of the depositional environments of rocks analyzed by Curiosity and future Mars missions with LIBS, such as the Mars 2020 rover.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE; National Aeronautics and Space Administration (NASA); National Centre for Space Studies (CNES) (France)
- Grant/Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1482015
- Report Number(s):
- LA-UR-18-28846
- Journal Information:
- Icarus, Vol. 321; ISSN 0019-1035
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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