Modelling heterogeneously bleached single-grain equivalent dose distributions: Implications for the reliability of burial dose determination
Modelling heterogeneously bleached single-grain equivalent dose distributions: Implications for the reliability of burial dose determination
复制标题
模拟非均质漂白的单粒当量剂量分布：对埋藏剂量测定可靠性的影响
DOI：
10.1016/j.quageo.2020.101108
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发表时间：
2020-10
影响因子：
2.7
通讯作者：
Jacobs Zenobia
中科院分区：
文献类型：
--
作者：
Peng Jun;Li Bo;Jacobs Zenobia
In optical dating, incomplete and heterogeneous resetting (“bleaching”) of the luminescence signal measured from mineral grains since the last episode of transport and deposition is commonly observed for sedimentary samples. As a result, different grains could have different equivalent dose (De) values at the time of deposition. For such samples, statistical treatment of the De distribution is required to estimate the burial dose. This study aims to assess the reliability of burial dose determination for heterogeneously bleached samples using the minimum age model (MAM). We modeled heterogeneous bleaching processes under various bleaching scenarios and simulated the resulting single-grain De distributions using a Monte Carlo method. Various factors that could potentially affect the reliability of burial dose estimates are investigated, including the distribution of residual dose, proportion of fully bleached grains, baseline dose, sample size, and unaccounted between-grain standard deviation. The simulation results reveal that the performance of the model depends primarily on the residual dose distribution. The proportion of fully bleached grains has the most influence on the reliability of MAM burial dose estimates.
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影响因子：
2
作者：
P. Urbanová;D. Hourcade;C. Ney;P. Guibert
通讯作者：
P. Urbanová;D. Hourcade;C. Ney;P. Guibert
影响因子：
2.2
作者：
Anna K. Sim;K. Thomsen;A. Murray;G. Jacobsen;R. Drysdale;W. Erskine
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Anna K. Sim;K. Thomsen;A. Murray;G. Jacobsen;R. Drysdale;W. Erskine
影响因子：
1.2
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F. Preusser;J. May;David Eschbach;Mareike Trauerstein;L. Schmitt
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4
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S. Stokes;H. Bray;M. Blum
通讯作者：
S. Stokes;H. Bray;M. Blum
影响因子：
2.7
作者：
Bo Li;Z. Jacobs;R. Roberts;Rex F. Galbraith;Jun Peng
通讯作者：
Bo Li;Z. Jacobs;R. Roberts;Rex F. Galbraith;Jun Peng