Characterization of Individual Rock Magnetic Components by Analysis of Remanence Curves, 1. Unmixing Natural Sediments
By R. Egli. 2004
302 citations recorded by the source corpus.
Subfields: Atmospheric Science, Geophysics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/bdbf285753506e994a075df4be4dda083884aa84
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Citations in the corpus
- Understanding fine magnetic particle systems through use of first‐order reversal curve diagrams (2014, methodology): “…Bint = 0 (Figures 1b and 1e) can be subjected to unmixing analysis [e.g., Robertson and France, 1994; Kruiver et al., 2001; Heslop et al., 2002; Egli, 2004]; much useful information can be obtained from these profiles [e.g., Muxworthy and Dunlop, 2002; Carvallo et al., 2006a; Rowan and…”
- Environmental magnetism: Principles and applications (2012, background): “For example, IRM acquisition curves can be decomposed into different coercivity fractions [Robertson and France, 1994; Kruiver et al., 2001; Heslop et al., 2002; Egli, 2004a, 2004b, 2004c].”
- Detection of noninteracting single domain particles using first‐order reversal curve diagrams (2010, methodology): “The low-coercivity component is characterized by a mean switching field of <20 mT, which is small compared to typical values obtained from measurements of whole magnetotactic bacteria cells [Moskowitz et al., 1993; Kobayashi et al., 2006] and magnetofossil components [Egli, 2004a].”
- Searching for single domain magnetite in the “pseudo‐single‐domain” sedimentary haystack: Implications of biogenic magnetite preservation for sediment magnetism and relative paleointensity determinations (2012, methodology): “The optimal measurement parameters prescribed by Egli et al. [2010] were followed as much as was practicable”
- A Critical Appraisal of the “Day” Diagram (2017, background): “We identify four magnetic components routinely in pelagic carbonates (Roberts, Florindo, et al., 2013) (detrital magnetite, detrital hematite, and the biogenic hard and soft magnetite components of Egli, 2004).”
- What do the HIRM and S‐ratio really measure in environmental magnetism? (2007, background): “Unmixing algorithms [e.g., Egli, 2004 ] or firstorder reversal curve diagrams [e.g., Roberts et al., 2006] can be used to isolate different magnetic components, but application of these methods to large numbers of samples is not usually feasible because they require detailed and time-consuming meas”
- MAX UnMix: A web application for unmixing magnetic coercivity distributions (2016, background): “Skew-left distributions ( S 1) are the result of thermal effects and interactions between magnetic particles in a grain population (Heslop et al., 2004) and have been shown to be common in natural populations (Egli, 2004a,b).”