子-父图:分析热时学数据的工具

IF 2.7 Q2 GEOCHEMISTRY & GEOPHYSICS Geochronology Pub Date : 2024-07-26 DOI:10.5194/gchron-6-429-2024
B. Härtel, Eva Enkelmann
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引用次数: 0

摘要

摘要子体与母体浓度的数据图(D-P 图)是分析低温热时学的一种潜在工具,类似于放射性同位素地质年代学中的等时图。其目的是直观显示放射性年龄方程的主要项--子-母比,并检查子-母关系是否存在异常,以显示地质过程或分析偏差的影响。与其他数据分析工具相比,D-P 图的主要优势在于:(1)能够发现 D 和 P 浓度的系统偏移;(2)能够明确表示辐射损伤依赖性子代保留;(3)能够分析潜在的年龄异常值。尽管有这些优点,D-P 图目前还没有用于分析低温热时学数据,例如来自裂变轨道、(U-Th)/ He 或锆石拉曼定年的数据。我们根据 D-P 图提出了一种简单的、基于决策树的子-父关系分类方法,可将数据集归入以下七个类别之一:截距为零的线性关系、群集、有系统偏移的线性关系、非线性关系、多个年龄群、分散数据和反向关系。对数据集进行分类后,就可以选择进一步的数据分析步骤,以及如何报告样本年龄,例如,作为集合年龄、中心年龄、等时线年龄或年龄范围。这种分类方法旨在促进热时学数据分析,使决策更加透明。我们通过分析已发表的来自不同地质环境和热时计的数据集,演示了所建议的程序,并介绍了我们开发的图形用户界面软件 Incaplot,该软件可方便地绘制热时数据的 D-P 图。
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The daughter–parent plot: a tool for analyzing thermochronological data
Abstract. Data plots of daughter against parent concentration (D–P plots) are a potential tool for analyzing low-temperature thermochronology, similar to isochron plots in radioisotopic geochronology. Their purposes are to visualize the main term of the radiometric age equation – the daughter–parent ratio – and to inspect the daughter–parent relationship for anomalies indicating influences of geological processes or analytical bias. The main advantages of the D–P plot over other data analysis tools are (1) its ability to detect systematic offsets in D and P concentrations, (2) its unambiguous representation of radiation-damage-dependent daughter retention, and (3) the possibility to analyze potential age outliers. Despite these benefits, the D–P plot is currently not used for analyzing low-temperature thermochronology data, e.g., from fission-track, (U–Th) / He, or zircon Raman dating. We present a simple, decision-tree-based classification for daughter–parent relationships based on the D–P plot that places a dataset into one of seven classes: linear relationship with zero intercept, cluster, linear relationship with systematic offset, nonlinear relationship, several age populations, scattered data, and inverse relationship. Assigning a class to a dataset enables choosing further data analysis steps and how to report a sample age, e.g., as a pooled, central, or isochron age or a range of ages. This classification scheme aims at facilitating thermochronological data analysis and making decisions more transparent. We demonstrate the proposed procedure by analyzing published datasets from a variety of geological settings and thermochronometers and introduce Incaplot, which is graphical user interface software that we developed to facilitate D–P plotting of thermochronology data.
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来源期刊
Geochronology
Geochronology Earth and Planetary Sciences-Paleontology
CiteScore
6.60
自引率
0.00%
发文量
35
审稿时长
19 weeks
期刊最新文献
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