Notícias
Observatório Nacional tem seminário sobre processamento de dados magnéticos microscópicos
Excepcionalmente em uma quinta-feira, dia 4 de dezembro, o Programa de Pós-Graduação em Geofísica do Observatório Nacional (ON/MCTI) realizará uma nova edição de seu Ciclo de Seminário de interesse da comunidade geofísica. O evento ocorreria dia 26 de novembro, mas teve uma mudança.
O evento começará às 15h (horário de Brasília) no Auditório da DISHO; o coffee será às 16h. O tema será "Microscale Rock Magnetism: Processing and Interpreting Magnetic Microscopy Data". Para falar sobre o assunto foi convidado o Dr. André Luis A. dos Reis, Pesquisador Adjunto do ON.
Título: Microscale Rock Magnetism: Processing and Interpreting Magnetic Microscopy Data.
Resumo: Rock magnetism provides the fundamental tool for understanding how geologic materials record the geomagnetic fields, forming the basis for the paleomagnetism and its applications. Minerals in rocks exhibit a wide range of sizes and compositions, which strongly influence their magnetic properties. In this context, understanding the physical processes by which minerals acquire magnetization is essential. Signals obtained by standard magnetic rock techniques are measurements that reflect the combined effect of all grains present in rock samples, and therefore the estimated physical properties represent an average of all contributions. Magnetic microscopy has emerged as an attempt to work in the limitations of standard techniques in the magnetic characterization of rock samples, providing high-resolution measurements that allow mapping the spatial variability of magnetization. For this reason, there is a need to establish methodologies capable of processing and interpreting this new type of measurement, with the aim of obtaining information relevant to applications in paleomagnetism and rock magnetism. In this presentation, I discuss recent advances in magnetic microscopy instrumentation over the last years, as well as potential new tools for processing and interpreting this type of data.