Data Set Information
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| DATA_SET_NAME |
MSL MARS CHEMISTRY AND MINERALOGY 5 RDR V1.0
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| DATA_SET_ID |
MSL-M-CHEMIN-5-RDR-V1.0
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| NSSDC_DATA_SET_ID |
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| DATA_SET_TERSE_DESCRIPTION |
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| DATA_SET_DESCRIPTION |
Data Set Overview : The CheMin instrument determines the mineralogy and elemental composition of powdered samples through the combined application of X-ray diffraction (XRD, producing mineral identification and quantification) and X-ray fluorescence (chemical analysis based on Energy Dispersive Histograms, EDH). This CheMin RDR data set contains mineral identification, abundance, and estimated errors derived from CheMin observations (RDR product type MIN). Processing : These CheMin RDR data products are considered CODMAC Level 5 or Derived Data, equivalent to NASA Level 2 products. The RDR data files are generated from CheMin Level 4 (NASA Level 1B) RDR Data (MSL-M-CHEMIN-4-RDR-V1.0), archived separately. Processing requires use of one of several available programs for mineral identification and XRD phase quantification applied to any of the Level 1 CheMin 1D diffraction patterns (D1A, D1B, DSA, DSB, DAR, DMR). Mineral identification may be based on various diffraction data libraries (ICDD PDF database, AMCSD, etc.); pattern processing and phase quantification may be based on any of several available software packages (Jade, TOPAS, FULLPAT, etc.). Because of the multiple options for deriving mineral identification and quantification there may be several reprocessed level 2 products based on a single XRD analysis. Data : The data types available in this data set are described in the RDR SIS. A list of minerals present in a CheMin analysis is compiled from the NASA Level 1B processed XRD data using one or more mineral identification programs; the identification and quantification programs(s) used are specified in the file metadata. Identifications are scrutinized for reliability against detection limits and potential complications (e.g., peak overlaps). Mineral identifications are further evaluated against information from EDH element identifications and other instrument datasets (particularly ChemCam, APXS, and SAM) to evaluate whether minor phases near detection limits or phases problematic in XRD analysis (e.g., poorly crystalline or amorphous) need to be considered. Rietveld or other pattern-fitting methods are used to generate a table of mineral abundances in weight percent along with estimated errors.
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| DATA_SET_RELEASE_DATE |
2013-02-27T00:00:00.000Z
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| START_TIME |
2012-07-16T12:00:00.000Z
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| STOP_TIME |
N/A (ongoing)
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| MISSION_NAME |
MARS SCIENCE LABORATORY
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| MISSION_START_DATE |
2003-10-01T12:00:00.000Z
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| MISSION_STOP_DATE |
N/A (ongoing)
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| TARGET_NAME |
MARS
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| TARGET_TYPE |
PLANET
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| INSTRUMENT_HOST_ID |
MSL
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| INSTRUMENT_NAME |
CHEMISTRY AND MINERALOGY INSTRUMENT
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| INSTRUMENT_ID |
CHEMIN
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| INSTRUMENT_TYPE |
XRD/XRF
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| NODE_NAME |
Geosciences
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| ARCHIVE_STATUS |
LOCALLY_ARCHIVED_ACCUMULATING
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| CONFIDENCE_LEVEL_NOTE |
Confidence Level Overview : X-ray diffraction reliability and accuracy of mineral identifications is comparable to that of commercial portable XRD instruments such as the Terra system manufactured by inXitu (http://www.inxitu.com/html/Terra.html). This level of performance produces accurate identification and detection for virtually all crystalline phases at abundance greater than ~1 wt%. Quantification of mineral abundances is generally best when based on Rietveld pattern fitting; however, noncrystalline or poorly crystalline materials (amorphous samples and many clay minerals) require other approaches (e.g., FULLPAT pattern fitting methods) where confidence is related to use of appropriate library samples for pattern fitting. Review : The CheMin mineral abundance products are reviewed internally by the CheMin team prior to release to the PDS. PDS also performs an external peer review of these products. Data Coverage and Quality : This section will be updated with the first release of CheMin RDR data to the PDS. Limitations : X-ray amorphous materials may be detected as a broad XRD amorphous background but amorphous materials have higher detection limits with poorer accuracy in quantification. Quantification of some clay minerals, particularly smectites, requires use of appropriate library patterns or structural modeling methods. Data Compression : No data compression is used.
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| CITATION_DESCRIPTION |
Vaniman, D., Mars Science Laboratory Chemistry & Mineralogy RDR Data V1.0, MSL-M-CHEMIN-5-RDR-V1.0, NASA Planetary Data System, 2012.
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| ABSTRACT_TEXT |
The CheMin instrument determines the mineralogy and elemental composition of powdered samples through the combined application of X-ray diffraction (XRD, producing mineral identification and quantification) and X-ray fluorescence (chemical analysis based on Energy Dispersive Histograms, EDH). This CheMin RDR data set contains mineral identification, abundance, and estimated errors derived from CheMin observations.
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| PRODUCER_FULL_NAME |
DAVID VANIMAN
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| SEARCH/ACCESS DATA |
Geosciences Web Services
Geosciences Data Volume Online
MSL Analysts Notebook
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