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13 results on '"Szakmány G"'

1. The first greenstone axe in Hungary

Author

Biró, K., Szakmány, G., Szilágyi, V., Kovàcs, Z., Kasztovszky, Z., and Harsányi, I.

Subjects
greenstone, jade, polished stone axe, hungary, petroarchaeological analysis, Archaeology, CC1-960
Abstract

Greenstone (typically, metamorphic rocks of distinctive green colour) axes were in high esteem during Prehistory. They had special prestige and were obtained from great distances. Recently, the distribution network of the probably most popular type of greenstone, jadeitite was essentially extended due to the JADE 2 project organised by P. Pétrequin (Pétrequin et alii 2017). The first jade axes from Hungary were located and described in 2013 (Szakmány et alii 2013) ; by 2015, we had located and analysed 25 items (Bendő et alii 2014, 2015, 2016, 2019). In 2018, two new pieces were added (Biró et alii 2018). Quite recently a new piece was identified, located and analysed, part of the old museum collection of the Hungarian National Museum. This historical piece is presented here with the aim to integrate it again into the circulation of international science

Published
2021
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4. Comparability of heavy mineral data – The first interlaboratory round robin test

Author

Dunkl, I, von Eynatten, H, Andò, S, Lünsdorf, K, Morton, A, Alexander, B, Aradi, L, Augustsson, C, Bahlburg, H, Barbarano, M, Benedictus, A, Berndt, J, Bitz, I, Boekhout, F, Breitfeld, T, Cascalho, J, Costa, P, Ekwenye, O, Fehér, K, Flores-Aqueveque, V, Führing, P, Giannini, P, Goetz, W, Guedes, C, Gyurica, G, Hennig-Breitfeld, J, Hülscher, J, Jafarzadeh, M, Jagodziński, R, Józsa, S, Kelemen, P, Keulen, N, Kovacic, M, Liebermann, C, Limonta, M, Lužar-Oberiter, B, Markovic, F, Melcher, F, Miklós, D, Moghalu, O, Mounteney, I, Nascimento, D, Novaković, T, Obbágy, G, Oehlke, M, Omma, J, Onuk, P, Passchier, S, Pfaff, K, Lincoñir, L, Power, M, Razum, I, Resentini, A, Sági, T, Salata, D, Salgueiro, R, Schönig, J, Sitnikova, M, Sternal, B, Szakmány, G, Szokaluk, M, Thamó-Bozsó, E, Tóth, Á, Tremblay, J, Verhaegen, J, Villaseñor, T, Wagreich, M, Wolf, A, Yoshida, K, Dunkl, István, von Eynatten, Hilmar, Andò, Sergio, Lünsdorf, Keno, Morton, Andrew, Alexander, Bruce, Aradi, László, Augustsson, Carita, Bahlburg, Heinrich, Barbarano, Marta, Benedictus, Aukje, Berndt, Jasper, Bitz, Irene, Boekhout, Flora, Breitfeld, Tim, Cascalho, João, Costa, Pedro J. M., Ekwenye, Ogechi, Fehér, Kristóf, Flores-Aqueveque, Valentina, Führing, Philipp, Giannini, Paulo, Goetz, Walter, Guedes, Carlos, Gyurica, György, Hennig-Breitfeld, Juliane, Hülscher, Julian, Jafarzadeh, Mahdi, Jagodziński, Robert, Józsa, Sándor, Kelemen, Péter, Keulen, Nynke, Kovacic, Marijan, Liebermann, Christof, Limonta, Mara, Lužar-Oberiter, Borna, Markovic, Frane, Melcher, Frank, Miklós, Dóra Georgina, Moghalu, Ogechukwu, Mounteney, Ian, Nascimento, Daniel, Novaković, Tea, Obbágy, Gabriella, Oehlke, Mathias, Omma, Jenny, Onuk, Peter, Passchier, Sandra, Pfaff, Katharina, Lincoñir, Luisa Pinto, Power, Matthew, Razum, Ivan, Resentini, Alberto, Sági, Tamás, Salata, Dorota, Salgueiro, Rute, Schönig, Jan, Sitnikova, Maria, Sternal, Beata, Szakmány, György, Szokaluk, Monika, Thamó-Bozsó, Edit, Tóth, Ágoston, Tremblay, Jonathan, Verhaegen, Jasper, Villaseñor, Tania, Wagreich, Michael, Wolf, Anna, Yoshida, Kohki, Dunkl, I, von Eynatten, H, Andò, S, Lünsdorf, K, Morton, A, Alexander, B, Aradi, L, Augustsson, C, Bahlburg, H, Barbarano, M, Benedictus, A, Berndt, J, Bitz, I, Boekhout, F, Breitfeld, T, Cascalho, J, Costa, P, Ekwenye, O, Fehér, K, Flores-Aqueveque, V, Führing, P, Giannini, P, Goetz, W, Guedes, C, Gyurica, G, Hennig-Breitfeld, J, Hülscher, J, Jafarzadeh, M, Jagodziński, R, Józsa, S, Kelemen, P, Keulen, N, Kovacic, M, Liebermann, C, Limonta, M, Lužar-Oberiter, B, Markovic, F, Melcher, F, Miklós, D, Moghalu, O, Mounteney, I, Nascimento, D, Novaković, T, Obbágy, G, Oehlke, M, Omma, J, Onuk, P, Passchier, S, Pfaff, K, Lincoñir, L, Power, M, Razum, I, Resentini, A, Sági, T, Salata, D, Salgueiro, R, Schönig, J, Sitnikova, M, Sternal, B, Szakmány, G, Szokaluk, M, Thamó-Bozsó, E, Tóth, Á, Tremblay, J, Verhaegen, J, Villaseñor, T, Wagreich, M, Wolf, A, Yoshida, K, Dunkl, István, von Eynatten, Hilmar, Andò, Sergio, Lünsdorf, Keno, Morton, Andrew, Alexander, Bruce, Aradi, László, Augustsson, Carita, Bahlburg, Heinrich, Barbarano, Marta, Benedictus, Aukje, Berndt, Jasper, Bitz, Irene, Boekhout, Flora, Breitfeld, Tim, Cascalho, João, Costa, Pedro J. M., Ekwenye, Ogechi, Fehér, Kristóf, Flores-Aqueveque, Valentina, Führing, Philipp, Giannini, Paulo, Goetz, Walter, Guedes, Carlos, Gyurica, György, Hennig-Breitfeld, Juliane, Hülscher, Julian, Jafarzadeh, Mahdi, Jagodziński, Robert, Józsa, Sándor, Kelemen, Péter, Keulen, Nynke, Kovacic, Marijan, Liebermann, Christof, Limonta, Mara, Lužar-Oberiter, Borna, Markovic, Frane, Melcher, Frank, Miklós, Dóra Georgina, Moghalu, Ogechukwu, Mounteney, Ian, Nascimento, Daniel, Novaković, Tea, Obbágy, Gabriella, Oehlke, Mathias, Omma, Jenny, Onuk, Peter, Passchier, Sandra, Pfaff, Katharina, Lincoñir, Luisa Pinto, Power, Matthew, Razum, Ivan, Resentini, Alberto, Sági, Tamás, Salata, Dorota, Salgueiro, Rute, Schönig, Jan, Sitnikova, Maria, Sternal, Beata, Szakmány, György, Szokaluk, Monika, Thamó-Bozsó, Edit, Tóth, Ágoston, Tremblay, Jonathan, Verhaegen, Jasper, Villaseñor, Tania, Wagreich, Michael, Wolf, Anna, and Yoshida, Kohki

Abstract

Heavy minerals are typically rare but important components of siliciclastic sediments and rocks. Their abundance, proportions, and variability carry valuable information on source rocks, climatic, environmental and transport conditions between source to sink, and diagenetic processes. They are important for practical purposes such as prospecting for mineral resources or the correlation and interpretation of geologic reservoirs. Despite the extensive use of heavy mineral analysis in sedimentary petrography and quite diverse methods for quantifying heavy mineral assemblages, there has never been a systematic comparison of results obtained by different methods and/or operators. This study provides the first interlaboratory test of heavy mineral analysis. Two synthetic heavy mineral samples were prepared with considerably contrasting compositions intended to resemble natural samples. The contributors were requested to provide (i) metadata describing methods, measurement conditions and experience of the operators and (ii) results tables with mineral species and grain counts. One hundred thirty analyses of the two samples were performed by 67 contributors, encompassing both classical microscopic analyses and data obtained by emerging automated techniques based on electron-beam chemical analysis or Raman spectroscopy. Because relatively low numbers of mineral counts (N) are typical for optical analyses while automated techniques allow for high N, the results vary considerably with respect to the Poisson uncertainty of the counting statistics. Therefore standard methods used in evaluation of round robin tests are not feasible. In our case the ‘true’ compositions of the test samples are not known. Three methods have been applied to determine possible reference values: (i) the initially measured weight percentages, (ii) calculation of grain percentages using estimates of grain volumes and densities, and (iii) the best-match average calculated from the most reliable analyses f

Published
2020

7. Catalogue

Author

Bezeczky, T., Berni Millet, P., Bonifay, M., Capelli, C., González Cesteros, H., Józsa, S., and Szakmány, G.

Published
2019

10. Schüssler, U., Schier, W., Szakmány, G., Starnini, E., Brätz, H. (in press) - The raw material of Neolithic tools in the Pannonian Basin: petrographic and geochemical analysis of artefacts recovered from the Late Neolithic tell-site of Uivar in western Romania. In: Schier, W., DraŞovean, F. (eds.) Uivar 'Gomila' – A Prehistoric Tell Settlement in Romanian Banat. Vol. II Environment, economy and material culture. Prähistorische Archäologie in Südosteuropa 32. Expected for 2020

Author

Schüssler, U., Schier, W., Szakmány, G., Starnini, E., and Brätz, H.

12. Comparability of heavy mineral data – The first interlaboratory round robin test

Author

Tea Novaković, Dorota Salata, Monika Szokaluk, Aukje Benedictus, Jasper Berndt, Rute Salgueiro, Keno Lünsdorf, György Szakmány, Flora Boekhout, Jan Schönig, Gabriella Obbágy, Katharina Pfaff, Jasper Verhaegen, Juliane Hennig-Breitfeld, João Cascalho, Walter Goetz, Borna Lužar-Oberiter, Julian Hülscher, Mara Limonta, Pedro Costa, Mahdi Jafarzadeh, Michael Wagreich, Mathias Oehlke, Edit Thamó-Bozsó, Kohki Yoshida, Christof Liebermann, Philipp Führing, Valentina Flores-Aqueveque, Frank Melcher, Ian Mounteney, Nynke Keulen, Ivan Razum, O.C. Ekwenye, Sandra Passchier, Tamás Sági, Anna Wolf, Matthew Power, Irene Bitz, Ogechukwu Moghalu, Peter Onuk, Sergio Andò, Robert Jagodziński, Ágoston Tóth, Carlos Conforti Ferreira Guedes, Dóra Georgina Miklós, Kristóf Fehér, Frane Marković, Tania Villaseñor, Carita Augustsson, Maria Sitnikova, Tim Breitfeld, Marta Barbarano, Heinrich Bahlburg, László Előd Aradi, Jonathan Tremblay, Jenny Omma, Hilmar von Eynatten, Bruce D. Alexander, Andrew C. Morton, Beata Sternal, Sándor Józsa, Daniel Rodrigues do Nascimento, Alberto Resentini, Paulo César Fonseca Giannini, Peter B. Kelemen, Marijan Kovačić, György Gyurica, István Dunkl, Luisa Pinto Lincoñir, Dunkl, I, von Eynatten, H, Andò, S, Lünsdorf, K, Morton, A, Alexander, B, Aradi, L, Augustsson, C, Bahlburg, H, Barbarano, M, Benedictus, A, Berndt, J, Bitz, I, Boekhout, F, Breitfeld, T, Cascalho, J, Costa, P, Ekwenye, O, Fehér, K, Flores-Aqueveque, V, Führing, P, Giannini, P, Goetz, W, Guedes, C, Gyurica, G, Hennig-Breitfeld, J, Hülscher, J, Jafarzadeh, M, Jagodziński, R, Józsa, S, Kelemen, P, Keulen, N, Kovacic, M, Liebermann, C, Limonta, M, Lužar-Oberiter, B, Markovic, F, Melcher, F, Miklós, D, Moghalu, O, Mounteney, I, Nascimento, D, Novaković, T, Obbágy, G, Oehlke, M, Omma, J, Onuk, P, Passchier, S, Pfaff, K, Lincoñir, L, Power, M, Razum, I, Resentini, A, Sági, T, Salata, D, Salgueiro, R, Schönig, J, Sitnikova, M, Sternal, B, Szakmány, G, Szokaluk, M, Thamó-Bozsó, E, Tóth, Á, Tremblay, J, Verhaegen, J, Villaseñor, T, Wagreich, M, Wolf, A, and Yoshida, K

Subjects
Provenance, 010504 meteorology & atmospheric sciences, Análise de dados, provenance, 010502 geochemistry & geophysics, Poisson distribution, 01 natural sciences, symbols.namesake, Minerais pesados, Statistics, SEM-EDX, Range (statistics), Prospecting, 0105 earth and related environmental sciences, Mathematics, interlaboratory comparison, Heavy mineral, Heavy mineral analysis, Raman spectroscopy, Interlaboratory comparison, Comparability, Heavy-mineral analysis, Provenance, SEM-EDX, Raman spectroscopy, Interlaboratory comparison, Mineral resource classification, heavy mineral analysis, symbols, General Earth and Planetary Sciences, Round robin test, Espectroscopia Raman
Abstract

Heavy minerals are typically rare but important components of siliciclastic sediments and rocks. Their abundance, proportions, and variability carry valuable information on source rocks, climatic, environmental and transport conditions between source to sink, and diagenetic processes. They are important for practical purposes such as prospecting for mineral resources or the correlation and interpretation of geologic reservoirs. Despite the extensive use of heavy mineral analysis in sedimentary petrography and quite diverse methods for quantifying heavy mineral assemblages, there has never been a systematic comparison of results obtained by different methods and/or operators. This study provides the first interlaboratory test of heavy mineral analysis. Two synthetic heavy mineral samples were prepared with considerably contrasting compositions intended to resemble natural samples. The contributors were requested to provide (i) metadata describing methods, measurement conditions and experience of the operators and (ii) results tables with mineral species and grain counts. One hundred thirty analyses of the two samples were performed by 67 contributors, encompassing both classical microscopic analyses and data obtained by emerging automated techniques based on electron-beam chemical analysis or Raman spectroscopy. Because relatively low numbers of mineral counts (N) are typical for optical analyses while automated techniques allow for high N, the results vary considerably with respect to the Poisson uncertainty of the counting statistics. Therefore, standard methods used in evaluation of round robin tests are not feasible. In our case the 'true' compositions of the test samples are not known. Three methods have been applied to determine possible reference values: (i) the initially measured weight percentages, (ii) calculation of grain percentages using estimates of grain volumes and densities, and (iii) the best-match average calculated from the most reliable analyses following multiple, pragmatic and robust criteria. The range of these three values is taken as best approximation of the 'true' composition. The reported grain percentages were evaluated according to (i) their overall scatter relative to the most likely composition, (ii) the number of identified components that were part of the test samples, (iii) the total amount of mistakenly identified mineral grains that were actually not added to the samples, and (iv) the number of major components, which match the reference values with 95% confidence. Results indicate that the overall comparability of the analyses is reasonable. However, there are several issues with respect to methods and/or operators. Optical methods yield the poorest results with respect to the scatter of the data. This, however, is not considered inherent to the method as demonstrated by a significant number of optical analyses fulfilling the criteria for the best-match average. Training of the operators is thus considered paramount for optical analyses. Electron-beam methods yield satisfactory results, but problems in the identification of polymorphs and the discrimination of chain silicates are evident. Labs refining their electron-beam results by optical analysis practically tackle this issue. Raman methods yield the best results as indicated by the highest number of major components correctly quantified with 95% confidence and the fact that all laboratories and operators fulfil the criteria for the best-match average. However, a number of problems must be solved before the full potential of the automated high-throughput techniques in heavy mineral analysis can be achieved. info:eu-repo/semantics/publishedVersion

Published
2020

13. Medieval Gilding Technology of Historical Metal Threads Revealed by Electron Optical and Micro-Raman Spectroscopic Study of Focused Ion Beam-Milled Cross Sections.

Author

Weiszburg TG, Gherdán K, Ratter K, Zajzon N, Bendő Z, Radnóczi G, Takács Á, Váczi T, Varga G, and Szakmány G

Abstract

Although gilt silver threads were widely used for decorating historical textiles, their manufacturing techniques have been elusive for centuries. Contemporary written sources give only limited, sometimes ambiguous information, and detailed cross-sectional study of the microscale soft noble metal objects has been hindered by sample preparation. In this work, to give a thorough characterization of historical gilt silver threads, nano- and microscale textural, chemical, and structural data on cross sections, prepared by focused ion beam milling, were collected, using various electron-optical methods (high-resolution scanning electron microscopy (SEM), wavelength-dispersive electron probe microanalysis (EPMA), electron backscattered diffraction (EBSD) combined with energy-dispersive electron probe microanalysis (EDX), transmission electron microscopy (TEM) combined with EDX, and micro-Raman spectroscopy. The thickness of the gold coating varied between 70-400 nm. Data reveal nano- and microscale metallurgy-related, gilding-related and corrosion-related inhomogeneities in the silver base. These inhomogeneities account for the limitations of surface analysis when tracking gilding methods of historical metal threads, and explain why chemical information has to be connected to 3D texture on submicrometre scale. The geometry and chemical composition (lack of mercury, copper) of the gold/silver interface prove that the ancient gilding technology was diffusion bonding. The observed differences in the copper content of the silver base of the different thread types suggest intentional technological choice. Among the examined textiles of different ages (13th-17th centuries) and provenances narrow technological variation has been found.

Published
2017
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