1. A HIGH-RESOLUTION CHRONOLOGY FOR THE PALATIAL COMPLEX OF XALLA IN TEOTIHUACAN, MEXICO, COMBINING RADIOCARBON AGES AND ARCHAEOMAGNETIC DATES IN A BAYESIAN MODEL
- Author
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Linda Manzanilla, Laura E. Beramendi-Orosco, Galia Gonzalez-Hernandez, and A. M. Soler-Arechalde
- Subjects
010506 paleontology ,Archeology ,060102 archaeology ,Mesoamerica ,Context (language use) ,06 humanities and the arts ,engineering.material ,Bayesian inference ,01 natural sciences ,Archaeology ,law.invention ,law ,Lime plaster ,engineering ,General Earth and Planetary Sciences ,Sample Type ,0601 history and archaeology ,Radiocarbon dating ,Geology ,0105 earth and related environmental sciences ,Archaeomagnetic dating ,Chronology - Abstract
Teotihuacan is one of the most studied archaeological sites in Mesoamerica because of its exceptional size and urban planning; however, its last years of occupation and abandonment are still under debate. We report a high-resolution chronology for the Xalla complex integrating archaeomagnetic dates, radiocarbon (14C) ages, and detailed archaeological information about sample type and context in a Bayesian model. The model includes 42 14C ages and 7 archaeomagnetic dates grouped in 6 phases, including samples from collapsed roofs with 14C ages earlier than expected, suggesting a problem of inbuilt age. The archaeomagnetic dates on lime plasters were classified in unburned samples, related to the time of construction, and burned samples, related to the Big Fire associated to the abandonment of Teotihuacan. The modeled 14C ages resulted in shorter intervals, with the possibility of differentiating the construction phases, confirming that big beams had inbuilt age. Further, combining the two dating methods and classifying lime plaster samples in burned and unburned, it was possible to date different events within the same archaeological context. It is concluded that by combining these two dating methods and understanding the moment that each sample is dating, it is possible to obtain solid and precise chronologies.
- Published
- 2020
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