2018
DOI: 10.1016/j.gexplo.2018.01.012
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Signatures of Cu (-Au) mineralisation reflected in inorganic and heavy mineral stream sediments at Vähäkurkkio, north-western Finland

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Cited by 1 publication
(4 citation statements)
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“…When using the MLA software, a section to be scanned in a sample run can be copied and re-applied to the exact same section, ensuring that all frames are analyzed in the same location, with the same operating parameters. This overcomes the potential for nugget effects skewing results as described in Hulkki et al [47]. Their estimation of error had the caveat that their repeat scan could not be performed on precisely the same area, leaving the possibility that grains present along the edges of the scanned area could be missed between consecutive scans.…”
Section: Mla Error Estimationmentioning
confidence: 99%
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“…When using the MLA software, a section to be scanned in a sample run can be copied and re-applied to the exact same section, ensuring that all frames are analyzed in the same location, with the same operating parameters. This overcomes the potential for nugget effects skewing results as described in Hulkki et al [47]. Their estimation of error had the caveat that their repeat scan could not be performed on precisely the same area, leaving the possibility that grains present along the edges of the scanned area could be missed between consecutive scans.…”
Section: Mla Error Estimationmentioning
confidence: 99%
“…When using grain counts it is important to normalize values to allow for comparison between samples containing varying numbers of grains. Hulkki et al [47] used two methods for normalizing grain count data, with their disaggregated bedrock samples being normalized using the equation: This ratio accommodates the varying number of grains analyzed between subsamples. The stream sediment grain counts of Hulkki et al [47] were normalized to a 1 kg processed sample weight, although the authors noted that given the extremely low abundance of the Cu minerals of interest, the normalized values were very close to the numbers of observed mineral grains.…”
Section: Modal Mineralogymentioning
confidence: 99%
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