An archaeomagnetic intensity-based search for order in the chaos of the destruction of Hama (Syria) dated to 720 BCE

Gallet, Yves; Mouamar, Georges; Lumsden, Stephen; Hald, Mette Marie

doi:10.1016/j.jasrep.2023.104138

Cited by 1 publication

(4 citation statements)

References 31 publications

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“…Nevertheless, it exemplifies the potential of the archaeomagnetic Bayesian method for identifying the inner stratigraphy within a homogenous archaeological context, similar to the approach presented in Gallet et al. (2023).…”

Section: Discussionmentioning

confidence: 59%

“…In the case of lmlk late, the archaeomagnetic ages (Figure 10 We note that the chronological division shown in Figure 10 is based on only a few samples per group, which might be insufficient to represent the entire time interval of the stamp type usage. Nevertheless, it exemplifies the potential of the archaeomagnetic Bayesian method for identifying the inner stratigraphy within a homogenous archaeological context, similar to the approach presented in Gallet et al (2023).…”

Section: Archaeomagnetic Dating Applicationsmentioning

confidence: 67%

“…The output of the procedure is a density distribution of archaeointensities in 1-year steps, from which the average, median, mode, and 95% credible intervals are determined for the time interval 3000-0 BCE. In addition, the procedure provides a posterior age distribution for each datum, enabling us to refine the archaeological dating defined as the prior age (Gallet et al, 2020(Gallet et al, , 2023Genevey et al, 2021;Livermore et al, 2018;Vaknin et al, 2022).…”

Section: Bayesian Modelingmentioning

confidence: 99%

“…Bayesian modeling of the Levantine archaeomagnetic intensity curve was carried out using the age hyperparameter reverse-jump Monte Carlo Markov Chain (AH-RJMCMC) method developed by Livermore et al (2018), which was also used for the previous versions of the LAC (Shaar et al, 2020(Shaar et al, , 2022 as well as for other regional curves in the Near East or elsewhere (Cych et al, 2023;Gallet et al, 2020Gallet et al, , 2021Gallet et al, , 2023Genevey et al, 2020Genevey et al, , 2021Livermore et al, 2021). The algorithm uses piece-wise linear interpolation between vertices drawn in a random-walk-like perturbation within a space allowed by the data.…”

Section: Bayesian Modelingmentioning

confidence: 99%

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Geomagnetic Field Intensity During the First Millennium BCE From Royal Judean Storage Jars: Constraining the Duration of the Levantine Iron Age Anomaly

Hassul,

Shaar,

Vaknin

et al. 2024

Geochem Geophys Geosyst

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The rich and extensively studied archaeological record of the Near East provides an opportunity to develop a comprehensive archaeomagnetic dataset for exploring the behavior of the geomagnetic field with high precision. The Levantine archaeomagnetic curve (LAC) project is an ongoing effort to develop a continuous high‐resolution geomagnetic intensity curve for the Levant and Mesopotamia. The first version of the LAC covered the period between 3000 and 550 BCE. Here, we report archaeointensity data from 169 samples compiled into 32 groups dating between the 7th and the 1st centuries BCE aiming at extending the LAC up to the end of the first millennium BCE. Twenty‐two groups are assembled from storage jar handles bearing different types of royal seal impressions, which were used in Judah as part of a taxation administrative system. These groups are combined with 10 other groups of pottery assemblages, three of which are from Hellenistic destruction layers dated using radiocarbon and coins. The new curve shows that the Levantine Iron Age Anomaly (LIAA) spanned 550 years (1100 ‐ 550 BCE) and that the rate of decline during the last spike around 600 BCE could have reached ∼0.6 μT/year. During the 6th century, the virtual axial dipole moment (VADM) dropped from 160 ZAm2 to 125 ZAm2 after which field intensity only slightly increased to 135 ZAm2, until another considerable decline to ∼90 ZAm2 during the 3rd to the 1st centuries BCE. We highlight the archaeomagnetic implication of the new curve in inferring the relative chronological relationship between different stamp types.

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Section: Discussionmentioning

confidence: 59%

Section: Archaeomagnetic Dating Applicationsmentioning

confidence: 67%