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Radiocarbon dating also referred to as carbon dating or carbon dating is a method for determining the age of an object containing organic material by using the properties of radiocarbon , a radioactive isotope of carbon. The method was developed in the late s by Willard Libby , who received the Nobel Prize in Chemistry for his work in It is based on the fact that radiocarbon 14 C is constantly being created in the atmosphere by the interaction of cosmic rays with atmospheric nitrogen.
The resulting 14 C combines with atmospheric oxygen to form radioactive carbon dioxide , which is incorporated into plants by photosynthesis ; animals then acquire 14 C by eating the plants. When the animal or plant dies, it stops exchanging carbon with its environment, and from that point onwards the amount of 14 C it contains begins to decrease as the 14 C undergoes radioactive decay. Measuring the amount of 14 C in a sample from a dead plant or animal such as a piece of wood or a fragment of bone provides information that can be used to calculate when the animal or plant died.
The older a sample is, the less 14 C there is to be detected, and because the half-life of 14 C the period of time after which half of a given sample will have decayed is about 5, years, the oldest dates that can be reliably measured by this process date to around 50, years ago, although special preparation methods occasionally permit accurate analysis of older samples.
Research has been ongoing since the s to determine what the proportion of 14 C in the atmosphere has been over the past fifty thousand years. The resulting data, in the form of a calibration curve, is now used to convert a given measurement of radiocarbon in a sample into an estimate of the sample's calendar age.
Other corrections must be made to account for the proportion of 14 C in different types of organisms fractionation , and the varying levels of 14 C throughout the biosphere reservoir effects.
Statistical time-series study has the potential to improve our understanding of human-environment interaction in intent time. Anyhow, radiocarbon dating—the most joint chronometric sop = 'standard operating procedure' in archaeological and palaeoenvironmental research—creates challenges for established statistical usages. The usages assume that observations in a time-series are scrupulously dated, but this assumption is recurrently violated when calibrated radiocarbon dates are used owing to they chiefly have powerfully irregular uncertainties.
As a result, it is unclear whether the methods can be reliably used on radiocarbon-dated time-series. With that in be firm, we conducted a skookum simulation workroom to analyse the crashing of chronological uncertainty on a potentially useful time-series method.
It is designed for consume with look on time-series facts, which assembles it suitable to a wide classify of questions about human-environment interaction in deep fix. Our simulations suggest that the PEWMA method can often correctly identify liaisons between time-series despite chronological uncertainty.
When two time-series are correlated with a coefficient of 0. With correlations of around 0. While moreover testing is desirable, these findings evince that the method can be utilized to prove hypotheses close by long-term human-environment interaction with a economical degree of confidence.
Time-series regression dissection is an important work for attempting hypotheses close by human-environment interaction over the long name. The select sources of information approximately human demeanour and environmental conditions in deep metre are the archaeological and palaeoenvironmental records, respectively.
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