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Radiocarbon Calibration and Analysis of Stratigraphy: The OxCal Program

Published online by Cambridge University Press:  18 July 2016

Christopher Bronk Ramsey
Christopher Bronk Ramsey*
Affiliation:
Oxford University Radiocarbon Accelerator Unit, 6 Keble Road, Oxford OX1 3QJ, England
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Abstract

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People usually study the chronologies of archaeological sites and geological sequences using many different kinds of evidence, taking into account calibrated radiocarbon dates, other dating methods and stratigraphic information. Many individual case studies demonstrate the value of using statistical methods to combine these different types of information. I have developed a computer program, OxCal, running under Windows 3.1 (for IBM PCs), that will perform both 14C calibration and calculate what extra information can be gained from stratigraphic evidence. The program can perform automatic wiggle matches and calculate probability distributions for samples in sequences and phases. The program is written in C++ and uses Bayesian statistics and Gibbs sampling for the calculations. The program is very easy to use, both for simple calibration and complex site analysis, and will produce graphical output from virtually any printer.

Type
III. Calibration of the 14C Time Scale
Information
Radiocarbon , Volume 37 , Issue 2 , 1995 , pp. 425 - 430
Copyright
Copyright © the Department of Geosciences, The University of Arizona 

References

Buck, C. E., Christen, J. A., and Litton, C. D. 1996 Archaeology, modeling and radiocarbon. Radiocarbon , in press.Google Scholar
Buck, C. E., Kenworthy, J. B., Litton, C. D. and Smith, A. F. M. 1991 Combining archaeological and radiocarbon information: A Bayesian approach to calibration. Antiquity 65: 808–821.CrossRefGoogle Scholar
Buck, C. E., Litton, C. D. and Smith, A. F. M. 1992 Calibration of radiocarbon results pertaining to related archaeological events. Journal of Archaeological Science 19: 497–512.CrossRefGoogle Scholar
Buck, C. E., Litton, C. D. and Scott, E. M. 1994 Making the most of radiocarbon dating: Some statistical considerations. Antiquity 68: 252–263.CrossRefGoogle Scholar
Christen, J. A., Kenworthy, J. B., Ottaway, B. S., Buck, C. E. and Litton, C. D. 1996 Archaeological interpretation of a suite of radiocarbon determinations: A Bayesian case study. Radiocarbon , in press.Google Scholar
Harris, E. C. 1989 Principles of Archaeological Stratigraphy , 2nd edition. London, Academic Press: 170 p.Google Scholar
Shennan, S. 1988 Quantifying Archaeology. Edinburgh, Edinburgh University Press: 364 p.Google Scholar
Stuiver, M. and Braziunas, T. F. 1993 Modeling atmospheric 14C influences and 14C ages of marine samples to 10,000 bc. In Stuiver, M., Long, A. and Kra, R. S., eds., Calibration 1993. Radiocarbon 35(1): 137–189.CrossRefGoogle Scholar
Stuiver, M. and Kra, R.S., eds. 1986 Calibration Issue, Proceedings of the 12th International 14C Conference. Radiocarbon 28(2B): 805–1030.CrossRefGoogle Scholar
Stuiver, M. and Reimer, P. J. 1986 A computer program for radiocarbon age calculation. In Stuiver, M. and Kra, R.S. eds., Calibration Issue, Proceedings of the 12th International 14C Conference. Radiocarbon 28 (2B): 1022–1030.CrossRefGoogle Scholar
Stuiver, M., Long, A., and Kra, R. S., eds. 1993 Calibration 1993. Radiocarbon 35(1): 1–244.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): 215–230.CrossRefGoogle 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): 231–237.Google Scholar