Study of exchange networks between two Amazon archaeological sites by INAA

Hazenfratz, Roberto; Munita, Casimiro S.; Glascock, Michael D.; Neves, Eduardo Góes

doi:10.1007/s10967-016-4758-9

Cited by 15 publications

(16 citation statements)

References 24 publications

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“…The results may be found in other publications (Hazenfratz-Marks, 2014;Hazenfratz, et al, 2016). The total data set comprises the concentrations of 9 chemical elements (Sc, Cr, Fe, La, Ce, Eu, Yb, Lu, Th) in 141 samples, measured by instrumental neutron activation analysis (INAA).…”

Section: Methodsmentioning

confidence: 99%

Neural Networks (SOM) Applied to INAA Data of Chemical Elements in Archaeological Ceramics from Central Amazon

Hazenfratz

Munita

Neves

2017

STAR: Science & Technology of Archaeological Research

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Artificial neural networks represent an alternative to traditional multivariate techniques, such as principal component and discriminant analysis, which rely on hypotheses regarding the normal distribution of the data and homoscedasticity. They also may be a powerful tool for multivariate modeling of systems that do not present linear correlation between variables, as well as to visualize high-dimensional data in bi-or trivariate structures. One special kind of neural network of interest in archaeometric studies is the Self-Organizing Map (SOM). SOMs can be distinguished from other neural networks for preserving the topological features of the original multivariate space. In this study, the self-organizing maps were applied to concentration data of chemical elements measured in archaeological ceramics from Central Amazon using instrumental neutron activation analysis (INAA). The main objective was testing the chemical patterns previously identified using cluster and principal component analysis, forming groups of ceramics according the multivariate chemical composition. It was verified by statistical tests that the chemical elemental data was not normally distributed and did not present homogeneity of covariance matrices for different groups, as requested by principal component analysis and other multivariate techniques. The maps obtained were consistent with the patterns identified by cluster and principal component analysis, forming two chemical groups of pottery shards for each archaeological site tested. Finally, it was verified the potential of SOMs for testing if failures in underlying hypotheses of traditional multivariate techniques might be critically influencing the results and subsequent archaeological interpretation of archaeometric data. ARTICLE HISTORY

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Section: Methodsmentioning

confidence: 99%

Neural Networks (SOM) Applied to INAA Data of Chemical Elements in Archaeological Ceramics from Central Amazon

Hazenfratz

Munita

Neves

2017

STAR: Science & Technology of Archaeological Research

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“…In this paper, it is presented a general description of the techniques used to study the sample. Details of each method are published in several papers and books (Artioli 2010; Cano et al 2014;Cullity 1978;Glascock 1992;Glascock & Neff 2003;Hazenfratz et al 2016).…”

Section: Analytical Techniquesmentioning

confidence: 99%

“…The natural radiation responsible for creating the conditions for luminescence has four primary sources: 40 K and the decay chains of 238 U, 235 U, 232 Th and cosmic radiation (Duttine et al 2003;Rocca et al 2012). In this study to evaluate the annual dose rate, AD, the U, Th and K mass fractions were measured by means of INAA (Hazenfratz et al 2016). The total regenerative dose method was used for the evaluation of equivalent dose, D e , (Godfrey-Smith et al 1997;Martini & Sibilia 2001), where the D e was determined using TL growth curve.…”

Section: Thermoluminescence Tlmentioning

confidence: 99%

“…About 100 mg of the sample and the reference materials NIST-SRM 1633b, used as standard, and IAEA -Soil 7, used for analytical quality assessment were weighed into polyethylene involucres and wrapped in aluminum foils. The samples and the standards were irradiated at IEA-R1 research reactor, IPEN-CNEN/SP, to determine U, Th and K (Hazenfratz et al 2016).…”

Section: Samplingmentioning

confidence: 99%

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Firing temperature determination and thermoluminescence dating of a brick with cuneiform characters found in the ruins of Ancient Babylon

Silva

Tudela

Munita

et al. 2018

Rev. Mus. Arqueol. Etnol.

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Este artigo tem por objetivo estudar um tijolo com inscrições em caracteres cuneiformes cujas sentenças estão praticamente completas. Estudos tipológicos correspondentes aos relatos históricos sugerem que o tijolo foi manufaturado no século VI a.C., durante a dinastia de Nabucodonosor II, grande monarca da Babilônia. A amostra foi estudada através da difração de raios X (DRX), ressonância paramagnética de elétron (RPE), termoluminescência (TL) e técnicas de análise por ativação instrumental com nêutrons (AAIN). Os resultados demonstraram que o tijolo tem 2350 anos de idade (± 40) e queima menor que 400o C.

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“…No método k 0 , padrões não são utilizados e sim monitores de fluxos de nêutrons, parâmetros espectrais do reator e sistema de espectrometria gama absolutamente calibrado (BODE; FERNANDES; GREENBERG, 2000;CAVALCANTE et al, 2016;DE CORTE, 1987;DE SOETE;GIJBELS;HOSTE, 1972;FRIEDLANDER et al, 1981;HAZENFRATZ et al, 2016;MENEZES & JACIMOVIC, 2008;MENEZES et al, 2003;).…”

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Estudo sobre os teores de Tório, Urânio e Potássio nas águas superficiais e sedimento marginal do Rio Piracicaba, Minas Gerais, Brasil

Queiroz

Sabará

Queiroz

et al. 2017

Eng. Sanit. Ambient.

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Keywords: radioisotopes; rio piracicaba; Minas Gerais; environmental risk; neutron activation analysis. INTRODUÇÃOA exigência quanto ao desenvolvimento sustentável é uma realidade associada ao crescimento socioeconômico com a demanda por novos serviços e produtos em um mercado atingido duramente pela rapidez da evolução tecnológica. A dicotomia entre as facilidades alcançadas através dos recursos técnicos disponíveis e o bem-estar social faz parte dessa realidade.

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Study of exchange networks between two Amazon archaeological sites by INAA

Cited by 15 publications

References 24 publications

Neural Networks (SOM) Applied to INAA Data of Chemical Elements in Archaeological Ceramics from Central Amazon

Neural Networks (SOM) Applied to INAA Data of Chemical Elements in Archaeological Ceramics from Central Amazon

Firing temperature determination and thermoluminescence dating of a brick with cuneiform characters found in the ruins of Ancient Babylon

Estudo sobre os teores de Tório, Urânio e Potássio nas águas superficiais e sedimento marginal do Rio Piracicaba, Minas Gerais, Brasil

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