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Using the Bayesian Method to Study the Precision of Dating by Wiggle-Matching

Published online by Cambridge University Press:  18 July 2016

Tomasz Goslar
Affiliation:
Institute of Physics, Silesian Technical University, Krzywoustego 2, PL-44-100 Gliwice, Poland
Wiesław Mądry
Affiliation:
Institute of Physics, Silesian Technical University, Krzywoustego 2, PL-44-100 Gliwice, Poland
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Abstract

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The “wiggle-matching” technique has been widely used for the absolute dating of a series of radiocarbon-dated samples connected in one floating chronology. This is done by calculations of SS statistics (the mean-square distance of 14C ages of samples from the calibration curve) calculated for any assumed calendar age of the floating chronology. In the standard procedure the confidence intervals of true calendar age are derived from the width of the SS minimum, using the critical values of the chi-square distribution. This, however, seems oversimplified. Another approach is an extension of the Bayesian algorithm for calibration of single 14C dates. Here, we describe in detail the Bayesian procedure and discuss its advantages compared to the SS minimization method. Our calculations show that for given errors of 14C measurements, precision of dating the series is related to the shape of the SS curve around its minimum, rather than to the absolute value of SSmin. In some cases, dating precision may be improved more efficiently by extending the time span covered by the series rather than by improving the precision of the 14C measurements. The application of the Bayesian method enabled us to delimit the age of the floating varve chronology from the sediments of Lake Gościąż with distinctly better accuracy than was previously reported using the SS curve alone.

Type
Part 1: Methods
Copyright
Copyright © The American Journal of Science 

References

Beer, J., Giertz, V., Möll, M., Oeschger, H., Riesan, T. and Storhm, C. 1979 The contribution of the Swiss lake dwellings to the calibration of radiocarbon dates. In Berger, R. and Suess, H. E., eds., Proceedings of the 9th International 14 C Conference . University of California Press: 567584.Google Scholar
Björck, S., Kromer, B., Johnsen, S., Bennike, O., Hammarlund, D., Lemdahl, G., Possnert, G., Rasmussen, T. L., Wohlfarth, B., Hammer, C. U. and Spurk, M. 1996 Synchronised terrestrial-atmospheric deglacial records around the North Atlantic. Science 274: 1155– 1160.Google Scholar
Bronk Ramsey, C. 1995 Radiocarbon calibration and analysis of stratigraphy: The OxCal program. In Cook, G. T., Harkness, D. D., Miller, B. F. and Scott, E. M., eds., Proceedings of the 15th International 14C Conference. Radiocarbon 37(2): 425430.Google Scholar
Goslar, T., Arnold, M., Bard, E., Kuc, T., Pazdur, M. F., Ralska-Jasiewiczowa, M., Rózanski, K., Tisnerat, N., Walanus, A., Wicik, B. and Wieckowski, K. 1995 High concentration of atmospheric 14C during the Younger Dryas cold episode. Nature 377: 414417.Google Scholar
Hajdas, I., Bonani, G. and Goslar, T. 1995 Radiocarbon dating of Holocene part of the Gościąż floating varve chronology. Radiocarbon 37(1): 7174.Google Scholar
Kruse, H. H., Linick, T. W., Suess, H. E. and Becker, B. 1980 Computer-matched radiocarbon dates of floating tree-ring series. Radiocarbon 22(2): 260266.Google Scholar
Linick, T. W., Suess, H. E. and Becker, B. 1985 La Jolla measurements of radiocarbon in South German oak tree-ring chronologies. Radiocarbon 27(1): 2032.CrossRefGoogle Scholar
Michczyńska, D. J., Pazdur, M. F. and Walanus, A. 1990 Bayesian approach to probabilistic calibration of radiocarbon ages. In Mook, W. G. and Waterbolk, H. T., eds., Proceedings of the Second International Symposium, 14C and Archaeology, Groningen 1987. PACT 29: 6979.Google Scholar
Pearson, G. W. 1986 Precise calendrical dating of known growth-period samples using a “curve-fitting” technique. In Stuiver, M. and Kra, R., eds., Proceedings of the 12th International 14C Conference. Radiocarbon 28(2A): 292–299.Google Scholar
Pearson, G. W., Becker, B. and Qua, F. 1993 High-precision 14C measurement of German and Irish oaks to show the natural 14C variations from 7890 to 5000 BC. In Stuiver, M., Long, A., and Kra, R. S., eds., Calibration 1993. Radiocarbon 35(1): 93104.Google Scholar
Pearson, G. W. and Stuiver, M. 1993 High-precision bidecadal calibration of the radiocarbon time scale, 500–2500 BC. In Stuiver, M., Long, A. and Kra, R. S., eds., Calibration 1993. Radiocarbon 35(1): 2533.Google Scholar
Reinsch, C. H. 1967 Smoothing by spline functions. Numerische Mathematik 10: 177183.Google Scholar
Stuiver, M., Long, A. and Kra, R. S., eds. 1993 Calibration 1993. Radiocarbon 35(1): 1244.Google Scholar
Stuiver, M. and Pearson, G. W. 1993 High-precision bidecadal calibration of the radiocarbon time scale, AD 1950–500 BC and 2500–6000 BC. In Stuiver, M., Long, A. and Kra, R. S., eds., Calibration 1993. Radiocarbon 35(1): 123.CrossRefGoogle Scholar
Stuiver, M. and Reimer, P. J. 1993 Extended 14C data base and revised CALIB 3.0 14C age calibration program. In Stuiver, M., Long, A. and Kra, R. S., eds., Calibration 1993. Radiocarbon 35(1): 215230.Google Scholar
van der Plicht, J. 1993 The Groningen radiocarbon calibration program. In Stuiver, M., Long, A. and Kra, R. S., eds., Calibration 1993. Radiocarbon 35(1): 231237.Google Scholar
van der Plicht, J., Mook, W. G. and Hasper, H. 1990 Automatic calibration of radiocarbon ages. In Mook, W. G. and Waterbolk, H. T., eds., Proceedings of the Second International Symposium, 14C and Archaeology, Groningen 1987. PACT 29: 8194.Google Scholar