PAULO TADEU MEIRA E SILVA DE OLIVEIRA

PAULO TADEU MEIRA E SILVA DE OLIVEIRA

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Normalizacao e padronizacao por meio da transformacao logaritmica em estudos arqueometricos de ceramicas
2007 - SANTOS, J.O.; MUNITA, C.S.; VERGNE, C.; OLIVEIRA, P.M.S.
Aplicacao de analise procrustes em dados arqueometricos
2007 - OLIVEIRA, PAULO T.M. e S. de; BARROSO, LUCIA P.; MUNITA, CASIMIRO S.
The utilization of trace chemical composition to correlate ceramics with clay deposits
2007 - NUNES, KELLY P.; TOYOTA, ROSIMEIRI G.; MUNITA, CASIMIRO S.; OLIVEIRA, PAULO M.S.; NEVES, EDUARDO G.; SOARES, EMILIO A.A.
In this work, 22 clay samples near Hatahara and Açutuba archaeological sites, and 135 ceramic samples were analyzed by means of Instrumental Neutron Activation Analysis. INAA is the most suitable technique because it does not require mineralization of samples and has high sensitivity, accuracy and precision. The samples were irradiated in IEA-R1 reactor at IPEN-CNEN-SP at thermal neutron flux of 8,92x10 12 cm -2 s -1 during one hour. The elementary concentration results were studied using multivariate statistical methods. The compositions group classification was done through cluster analysis and the similarity/dissimilarity among the samples was studied by means of discriminant analysis.
Preliminary study of chemical compositional data from amazon ceramics
2005 - TOYOTA, R.G.; MUNITA, C.S.; NEVES, E.G.; LUZ, F.A.; OLIVEIRA, P.M.S.
Chemical study of some ceramics from Brazilian Northeast
2002 - SEPULVEDA MUNITA, C.J.A.; NASCIMENTO, A.; SCHREIBER, S.B.; LUNA, S.; OLIVEIRA, P.M.S.
Estudo comparativo de metodos de normalizacao em resultados experimentais
2009 - OLIVEIRA, P.M.S.; SEPULVEDA MUNITA, C.J.A.
Caracterizacao quimica da ceramica do sitio Justino - Xingo, SE
2003 - LUNA, S.; SANTOS, J.O.; NASCIMENTO, A.; SEPULVEDA MUNITA, C.J.A.; OLIVEIRA, P.M.S.; VERGNE, C.; VALERIO, M.E.G.
Estudo arqueometrico de depositos argilosos da terra indigena dos Asurini do Xingu
2003 - SEPULVEDA MUNITA, C.J.A.; SILVA, F.A.; OLIVEIRA, P.M.S.
Tempering effect in ceramics chemical analysis by INAA
2008 - MUNITA, CASIMIRO S.; TOYOTA, ROSIMEIRI G.; OLIVEIRA, PAULO T.M.; NEVES, EDUARDO G.; DEMARTINI, CRISTINA C.
Archaeological ceramics are manufactured with clay and usually potters added a material named temper that can be a mineral or organic material. Temper modifies the chemical and physical properties of clay and improves its workability. When INAA is used, the analysis reflects total composition, i.e., the elements in the clay as well the ones in the tempering. In this work the concentration of Ba, Ce, Co, Cr, Cs, Eu, Fe, Hf, K, La, Lu, Rb, Na, Nd, Sb, Sc, Sm, Ta, Tb, Th, Yb, Zn and U in 161 samples of Marajoara pottery were determined using INAA. The samples were obtained using a tungsten carbide drill and dried in an oven at 105o C for 24 hours. The samples and standards were irradiated in the swimming pool research reactor, IEA-R1 (IPEN-CNEN/SP), at a thermal neutron flux of about 5 x 1012 n cm-2 s-1 for 8 hours. Two measurements series were carried out, after 7 days and 25-30 days. The results were studied by means of modified Mahalanobis filter and multivariate statistical methods to verify the effect of the temper on the determination of trace elements. The results showed that the temper effect in the pottery is negligible.
Spatial distribution of metal contents in soil
2008 - NUNES, K.P.; MUNITA, C.S.; VASCONCELLOS, M.B.A.; OLIVEIRA, P.M.S.; CROCI, C.A.; FALEIROS, F.M.
Soil samples were collected in two small agricultural fields located in Médanos and Hilario Ascasubi, Bahía Blanca, Argentina and analyzed for Ce, Co, Cr, Cs, Eu, Fe, Hf, K, La, Na, Rb, Sc, Th, U, Yb, and Zn by INAA to study the spatial distribution. This agricultural area is used for garlic cultivation. The soil samples and the standards were irradiated in the swimming pool research reactor at IPEN-CNEN/SP, Brazil. The data sets were studied using several statistical methods. In order to evaluate the contribution of anthropogenic sources in the soil, enrichment factors were calculated. The similarity/dissimilarity between the samples was studied by discriminant analysis in order to explore the feasibility of classifying soils samples according to geographic position. In addition, to identify redundant variable without losing essential information, the data set was studied by means of stopping rule for variable selection using forward stepwise discriminant analysis.