Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 539257
Title Luminescence age modeling of variably-bleached sediment : Model selection and input
Author(s) Chamberlain, Elizabeth L.; Wallinga, Jakob; Shen, Zhixiong
Source Radiation Measurements (2018). - ISSN 1350-4487
DOI https://doi.org/10.1016/j.radmeas.2018.06.007
Department(s) PE&RC
Soil Geography and Landscape
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) Bleaching - Luminescence dating - Overdispersion - Quartz sand - Residual dose
Abstract

Optically stimulated luminescence (OSL) dating of heterogeneously-bleached sediment by means of a minimum age model requires the input of a ‘sigma_b’ (σb) value describing the overdispersion of the single-aliquot De distribution expected for a well-bleached sample. We propose that σb and associated uncertainty can be accurately determined if a large dataset of De distributions is available and includes well-bleached samples. Our approach applies the bootstrapped Minimum Age Model (bootMAM) to a dataset of overdispersions in De distributions, to obtain quantitative estimates of σb. Corrections are made for constant-diameter aliquots of different grain sizes, based on the published dependency of overdispersion on the number of grains per aliquot. These adapted σb values are then input to bootMAM to obtain robust paleodoses for the samples. We test the sensitivity of paleodose to σb and we demonstrate that with correct σb, identical paleodoses are obtained using bootMAM and the Central Age Model on samples judged to be well-bleached. We conclude that for large datasets consisting of well- and heterogeneously-bleached samples, appropriate σb values can be obtained from the data, and that bootMAM can be applied to all samples within this dataset.

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