A New Method for High-Resolution Dating of Radiocarbon Data: The Example of the First Three Centuries B.C

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📝 Original Info

  • Title: A New Method for High-Resolution Dating of Radiocarbon Data: The Example of the First Three Centuries B.C
  • ArXiv ID: 2502.20211
  • Date: 2025-02-27
  • Authors: Researchers mentioned in the ArXiv original paper

📝 Abstract

Radiocarbon dating poses a challenge in many archaeological contexts due to the limited precision of conventional calibration methods. In this study, we introduce a novel approach to fine-dating that is based on the repeated application of OxCal's R_Simulate function. By constructing extensive reference tables and aggregating measures of central tendency (means and medians), uncalibrated 14C measurements are directly mapped to calendar dates. The method is validated through comprehensive simulations and comparisons with dendrochronologically dated tree rings. Despite challenges in segments of the calibration curve with low gradients, the approach demonstrates that a significant improvement in dating precision is achievable. Limitations and potential avenues for further methodological optimisation are discussed.

💡 Deep Analysis

This research explores the key findings and methodology presented in the paper: A New Method for High-Resolution Dating of Radiocarbon Data: The Example of the First Three Centuries B.C.

Radiocarbon dating poses a challenge in many archaeological contexts due to the limited precision of conventional calibration methods. In this study, we introduce a novel approach to fine-dating that is based on the repeated application of OxCal’s R_Simulate function. By constructing extensive reference tables and aggregating measures of central tendency (means and medians), uncalibrated 14C measurements are directly mapped to calendar dates. The method is validated through comprehensive simulations and comparisons with dendrochronologically dated tree rings. Despite challenges in segments of the calibration curve with low gradients, the approach demonstrates that a significant improvement in dating precision is achievable. Limitations and potential avenues for further methodological optimisation are discussed.

📄 Full Content

Radiocarbon dating poses a challenge in many archaeological contexts due to the limited precision of conventional calibration methods. In this study, we introduce a novel approach to fine-dating that is based on the repeated application of OxCal's R_Simulate function. By constructing extensive reference tables and aggregating measures of central tendency (means and medians), uncalibrated 14C measurements are directly mapped to calendar dates. The method is validated through comprehensive simulations and comparisons with dendrochronologically dated tree rings. Despite challenges in segments of the calibration curve with low gradients, the approach demonstrates that a significant improvement in dating precision is achievable. Limitations and potential avenues for further methodological optimisation are discussed.

📸 Image Gallery

Anc01_Functionality_of_R_Simulate.png Anc12_Histograms_FineDating_5_100_0.png Fig10_Delta_Performance_Kalibrationskurve.png Fig11_35y-Delta_Performance_Diagramm_5_100_0.png Fig12_25y-Delta_Performance_Diagram_1_50_5.png Fig13_Histo_MeanMedian_5x100_0.png Fig14_Scatter_Plot_CalDate_5_50_5.png Fig1a_R_Sim_200BC_0J_IntCal20.png Fig1b_R_Sim_200BC_20J_IntCal20.png Fig2_Alle_Messungen_RefTab_5Jx50A5J.png Fig3_Schaetzverfahren.png Fig4a_Frequencey_Distributions_CalDate.png Fig4b_Frequencey_Distributions_Median.png Fig4c_Frequencey_Distributions_Mean.png Fig5_Histogram_14C-Ages.png Fig6_TestSeries3_Histogram_14C-Ages_in_5x20_A5_year_1.png Fig7a_TestSeries3_Histogram_CalDates_in_5x20_A5_year_1.png Fig7b_TestSeries3_Histogram_Means_in_5x20_A5_year_1.png Fig7c_TestSeries3_Histogram_Medians_in_5x20_A5_year_1.png Fig8_TestSeries3_Histogram_CalDate_ID2_year_1_5x20_A5.png Fig9a_25y-Delta_Performance_Diagram_5_20_5.png Fig9b_25y-Delta_Performance_Diagram_5_100_5.png

Reference

This content is AI-processed based on open access ArXiv data.

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