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Radiocarbon calibration curves, summed probability distributions, and early Paleoindian population trends in North America

机译:北美的放射性碳校准曲线,总的概率分布和早期的古印度裔人口趋势

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Archaeologists increasingly examine summed probability distributions of radiocarbon dates to search for temporal trends in ancient human populations, including early North American population trends across the onset of the Younger Dryas climatic period (10,900 BC). We use both IntCa104 and IntCa109 to simulate and calibrate sequences of radiocarbon dates that represent evenly spaced calendar ages from 12,000 to 9000 BC and use IntCa109 to simulate two different demographic processes across this interval. The shapes of the calibrated summed probability distribution from our first set of simulations mirror many trends that have been interpreted in demographic terms and this shape shows clear links to the shape of the radiocarbon calibration curve. This is true for both IntCa104 and IntCa109, although these different curves produce different probability distributions. The shapes of the calibrated summed probability distribution from our second set of simulations differ somewhat but show virtually identical trends at points where the actual frequencies of calendar dates are very different. We conclude that changing frequencies of radiocarbon dates over time probably do contain demographic information, but that extracting this information is more difficult than archaeologists have acknowledged.
机译:考古学家越来越多地研究放射性碳日期的汇总概率分布,以寻找古代人口的时间趋势,包括在更年轻的干旱时期(公元前10900年)开始的北美早期人口趋势。我们同时使用IntCa104和IntCa109来模拟和校准放射性碳数据的序列,这些数据代表从12,000到9000 BC均匀分布的日历年龄,并使用IntCa109来模拟此间隔内的两个不同的人口统计过程。来自我们第一组模拟的校准总和概率分布的形状反映了已按人口统计学术语解释的许多趋势,并且该形状显示了与放射性碳校准曲线形状的明确联系。尽管这些不同的曲线产生不同的概率分布,但对于IntCa104和IntCa109都是如此。来自我们第二组模拟的校准总概率分布的形状有些不同,但是在日历日期的实际频率非常不同的点上显示出几乎相同的趋势。我们得出的结论是,随着时间的推移,放射性碳日期的频率变化可能确实包含人口统计信息,但是要提取这些信息比考古学家所承认的更加困难。

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