Radiocarbon dating oxcal
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If radiocarbon measurements are to be used at all for chronological purposes, we have to use statistical methods for calibration.
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When considering analyses of these kinds, it is useful to be able run simulations on synthetic data.
Methods for performing such tests are discussed here along with other methods of diagnosing possible problems with statistical models of this kind.
Through the direct coupling of an elemental analyzer (EA) that converts the sample to CO–11) have revolutionized sample requirements and hold great promise to support the research and understanding of cultural heritage materials, where sampling is critical and sample size is very often limited.
Many such models can be put together, in a modular fashion, from simple elements, with defined constraints and groupings.
In other cases, the commonly used "uniform phase" models might not be appropriate, and ramped, exponential, or normal distributions of events might be more useful.
The most widely used method of calibration can be seen as a simple application of Bayesian statistics, which uses both the information from the new measurement and information from the 14C calibration curve.
In most dating applications, however, we have larger numbers of 14C measurements and we wish to relate those to events in the past.
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