2016
DOI: 10.1111/maps.12588
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Complexities in pyroxene compositions derived from absorption band centers: Examples from Apollo samples, HED meteorites, synthetic pure pyroxenes, and remote sensing data

Abstract: We reexamine the relationship between pyroxene composition and near-infrared absorption bands, integrating measurements of diverse natural and synthetic samples. We test an algorithm (PLC) involving a two-part linear continuum removal and parabolic fits to the 1 and 2 lm bands-a computationally simple approach which can easily be automated and applied to remote sensing data. Employing a suite of synthetic pure pyroxenes, the PLC technique is shown to derive similar band centers to the modified Gaussian model. … Show more

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Cited by 35 publications
(67 citation statements)
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References 52 publications
(192 reference statements)
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“…Therefore, the spectral properties of one pyroxene with a particular mineralogy will not be equivalent to the spectral properties of a material containing a variety of pyroxenes with the same average mineralogy as that one pyroxene. Moriarty and Pieters () have previously noted that the relationship between band centers and mineralogy for synthetic pyroxenes is different than the relationship between band centers and mineralogy for naturally occurring pyroxenes. We argue that formulas for deriving asteroid pyroxene mineralogies should be derived from meteoritic spectra with measured compositions since this material will best reflect the compositions of asteroids, which are physical mixtures of a variety of different pyroxenes.…”
Section: Resultsmentioning
confidence: 97%
“…Therefore, the spectral properties of one pyroxene with a particular mineralogy will not be equivalent to the spectral properties of a material containing a variety of pyroxenes with the same average mineralogy as that one pyroxene. Moriarty and Pieters () have previously noted that the relationship between band centers and mineralogy for synthetic pyroxenes is different than the relationship between band centers and mineralogy for naturally occurring pyroxenes. We argue that formulas for deriving asteroid pyroxene mineralogies should be derived from meteoritic spectra with measured compositions since this material will best reflect the compositions of asteroids, which are physical mixtures of a variety of different pyroxenes.…”
Section: Resultsmentioning
confidence: 97%
“…It is important to note that each individual sample from the LRMCC and LSCC collections contain a range of pyroxene components resulting from several natural factors such as cooling history, mineral exsolution, and physical mixing (for breccias and soils). As emphasized by Moriarty and Pieters (), band center values from remote sensing data represent composite absorption bands resulting from highly complex, nonlinear mixtures of many pyroxene and nonpyroxene components. While the relationship between pure pyroxene compositions and band centers is well established by crystal physics (Burns, ; Klima et al, ; Klima, Dyar, & Pieters, ), natural materials are inevitably mixtures whether they be a pristine rock, well‐developed soil, or surface swaths measured via remote sensing.…”
Section: Discussion and Integrationmentioning
confidence: 99%
“…All optical subperiods used here (except OP2C2) correspond to a single temperature state of the detector Figure 2. Example derivation of spectral parameters using an approach involving Parabolic band fits after a two-part Linear Continuum removal (PLC, discussed further in the text, supporting information, and Moriarty & Pieters, 2016a). (a) Laboratory reflectance spectra (solid) with estimated two-part linear continua (dashed) for two pure pyroxenes (orthopyroxene En35,Fs65, RELAB #DL-CMP-025; clinopyroxene En39, Fs34, Wo27, RELAB #DL-CMP-051, discussed further in Klima et al, 2007, and.…”
Section: Plc Analyses Of Pyroxene Composition and Abundancementioning
confidence: 99%
“…(a) Parameter map of the 1‐μm band depth, derived from M 3 image M3G20090604T191631 using the Parabolas and two‐part Linear Continua (PLC) technique developed and validated by Moriarty and Pieters (). This parameter is sensitive primarily to the abundance of mafic minerals (which on the lunar surface is predominantly pyroxene).…”
Section: Methodsmentioning
confidence: 99%
“…From the Diviner PDSarchived Reduced Data Record data set, we selected rectangular regions of interest containing at least 100 radiogenic measurements taken with emission angles less than 2°off nadir and local solar times between 9:00 and 15:00. Using the method of Greenhagen et al (2010Greenhagen et al ( , 2011, we normalized the data to equatorial noon, fit the Diviner Channels 3, 4, and 5 (7.8, 8.28, and 8.55 μm) using a second-order polynomial, and Moriarty and Pieters (2016). This parameter is sensitive primarily to the abundance of mafic minerals (which on the lunar surface is predominantly pyroxene).…”
Section: Christiansen Feature Analysismentioning
confidence: 99%