An automatic peak deconvolution code for Raman spectra of carbonaceous material and a revised geothermometer for intermediate- to moderately high-grade metamorphism

IF 3.5 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Progress in Earth and Planetary Science Pub Date : 2024-06-25 DOI:10.1186/s40645-024-00637-8
Shunya Kaneki, Yui Kouketsu, Mutsuki Aoya, Yoshihiro Nakamura, Simon R. Wallis, Yusuke Shimura, Ken Yamaoka
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Abstract

Carbonaceous material (CM) undergoes progressive changes that reflect its thermal history. These changes are in general irreversible and provide valuable information for understanding diagenetic and metamorphic processes of crustal rocks. Among various approaches to quantify these changes, the R2 ratio, area ratio of specific peaks in CM Raman spectra, is widely used to estimate the maximum temperature of intermediate- to moderately high-grade metamorphism. The calculation of the R2 ratio requires peak deconvolution of the original spectrum, and the results depend on the details of how this is carried out. However, a clear protocol for selecting appropriate initial conditions has not been established and obtaining a reliable temperature estimate depends at least in part on the experience and skill of the operator. In this study, we developed a Python code that automatically calculates the R2 ratio from CM Raman spectra. Our code produces R2 ratios that are generally in good agreement with those of Aoya et al. (J Metamorph Geol 28:895–914, 2010, https://doi.org/10.1111/j.1525-1314.2010.00896.x) for the same Raman data, with much less time and effort than was the case in the previous studies. We have confirmed that the code is also applicable to other previous datasets from both contact and regional metamorphic regions. The overall trend of the recalculated data indicates that samples with R2 greater than ~ 0.7 are not sensitive to the changes in CM maturity and thus should not be used for the calibration of an R2-based geothermometer. We propose a modified geothermometer for contact metamorphism that is strictly applicable to samples with R2 from 0.023 to 0.516, with the proviso that a laser with a wavelength of 532 nm should be used. A slight extrapolation of the newly proposed geothermometer up to R2 of 0.57 provides a temperature estimate that is consistent with the geothermometer of Kaneki and Kouketsu (Island Arc 31:e12467, 2022; https://doi.org/10.1111/iar.12467); the boundary between the two geothermometers corresponds to a temperature of 391 °C.

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碳质材料拉曼光谱的自动峰值解卷积代码和经修订的中级至中高级变质作用地温计
含碳物质(CM)会发生反映其热史的渐进变化。这些变化一般是不可逆的,为了解地壳岩石的成岩和变质过程提供了宝贵的信息。在量化这些变化的各种方法中,R2 比值(CM 拉曼光谱中特定峰值的面积比)被广泛用于估算中级到中高级变质作用的最高温度。R2 比值的计算需要对原始光谱进行峰值解卷积,其结果取决于如何进行解卷积的细节。然而,选择适当初始条件的明确规程尚未建立,获得可靠的温度估计值至少部分取决于操作者的经验和技能。在本研究中,我们开发了一套 Python 代码,可根据 CM 拉曼光谱自动计算 R2 比值。与 Aoya 等人(J Metamorph Geol 28:895-914, 2010, https://doi.org/10.1111/j.1525-1314.2010.00896.x)对相同拉曼数据的计算结果相比,我们的代码所产生的 R2 比值与他们的计算结果基本吻合,而且所花费的时间和精力也比之前的研究要少得多。我们已经确认,该代码也适用于之前来自接触变质区和区域变质区的其他数据集。重新计算数据的总体趋势表明,R2 大于 ~ 0.7 的样本对 CM 成熟度的变化并不敏感,因此不应该用于校准基于 R2 的地温计。我们提出了一种改进的接触变质作用地温计,严格适用于 R2 为 0.023 至 0.516 的样品,但必须使用波长为 532 nm 的激光。将新提出的地温计略微外推至 R2 为 0.57 时,得到的温度估计值与 Kaneki 和 Kouketsu 的地温计一致(Island Arc 31:e12467, 2022; https://doi.org/10.1111/iar.12467);两个地温计之间的界限对应于 391 ℃ 的温度。
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来源期刊
Progress in Earth and Planetary Science
Progress in Earth and Planetary Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
6.50
自引率
5.10%
发文量
59
审稿时长
31 weeks
期刊介绍: Progress in Earth and Planetary Science (PEPS), a peer-reviewed open access e-journal, was launched by the Japan Geoscience Union (JpGU) in 2014. This international journal is devoted to high-quality original articles, reviews and papers with full data attached in the research fields of space and planetary sciences, atmospheric and hydrospheric sciences, human geosciences, solid earth sciences, and biogeosciences. PEPS promotes excellent review articles and welcomes articles with electronic attachments including videos, animations, and large original data files. PEPS also encourages papers with full data attached: papers with full data attached are scientific articles that preserve the full detailed raw research data and metadata which were gathered in their preparation and make these data freely available to the research community for further analysis.
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