Scientific knowledge management about Monte Carlo method: a bibliometric analysis on IRD Postgraduate Program in Radiation Protection and Dosimetry

FELIPE DO CARMO AMORIM; PEDRO PACHECO DE QUEIROZ FILHO; Fernando Barcellos Razuck

doi:10.15392/bjrs.v9i2B.1415

Autores/as

FELIPE DO CARMO AMORIM Centro Federal de Educação Tecnológica / Departamento de Engenharia Mecânica, CEFET/RJ, UnED, Itaguaí
PEDRO PACHECO DE QUEIROZ FILHO Instituto de Radioproteção e Dosimetria
Fernando Barcellos Razuck Instituto de Radioproteção e Dosimetria

DOI:

https://doi.org/10.15392/bjrs.v9i2B.1415

Palabras clave:

Postgraduate Program in Radiation Protection and Dosimetry, bibliometric analysis, Monte Carlo Method, scientific knowledge management.

Resumen

With technological advances in several research areas of science, it is becoming increasingly common to use computer programs to solve problems. Some of these programs are based on statistical analysis and simulation of reality, such as the Monte Carlo Method (MC). The MC is a statistical tool widely used in different areas of knowledge, as a resource for simulating events that involve from financial assessments to the interaction of radiation with matter. Thereby, surveys with radiation sources, for example, are constantly evolving to study the question of radiation protection. In this sense, this paper has as main objective to verify the relevance of the MC for the area of radiation protection, analyzing the studies that apply the method in the Postgraduate Program (PPG) in Radiation Protection and Dosimetry of Institute of Radiation Protection and Dosimetry (IRD). This is because it is understood thatthrough the application of Scientific Knowledge Management (SKM) the construction of knowledge happens through an exchange of scientific information, that is, exchange of relevant contents that help in the preservation of knowledge.In this sense, a bibliometric analysis of the dissertations and theses deposited in Brazilian bank was made using the search term "Monte Carlo" and its respective programs (PENELOPE, GEANT4, EGSnrc, MCNP and Visual Monte Carlo), to be found in the title, abstract or keywords. With the identification of works carried out in all areas of concentration of the PPG, it is understood that the MC is extremely relevant for studies in the area of radiation protection.

Descargas

Los datos de descarga aún no están disponibles.

Referencias

UNEP. United Nations Environment Program. Radiation effects and sources, 2016.

TAUHATA, L.; SALATI, I. P. A.; PRINZIO, R. DI; PRINZIO, M. A. R. R. DI. Fundamentos de Radioproteção e Dosimetria, 10ª revisão. IRD/CNEN, Rio de Janeiro, 2014.

BEN, F.G. Análise estocástica da densidade espectral de nêutrons em um modelo de reator nuclear para avaliação da probabilidade local da fuga de nêutrons. Monografia (Graduação) – Departamento de Engenharia Mecânica – Universidade Federal do Rio Grande do Sul, 2012.

SILVEIRA, M.F.; CAMPOS, T.P.R. Avaliação Radiodosimétrica através do Código MCNP-5 da Radiosteoplastia em Tumores Ósseos nos Membros. Revista Matéria, n.12 (1),186-192, 2007.

BRIESMEISTER, J. F. MCNP – A General Monte Carlo N-Particle Transport Code.Los Alamos National Laboratory, Version 4C2, US, 2000.

KAWRAKOW, I.; ROGERS, D. W. O.The EGSnrc code system: Monte Carlo simulation of electron and photon transport Technical Report PIRS-701.Ottawa: National Research Council of Canada, 2000.

ROGERS, D. W. O.; KAWRAKOW, I.; SEUNTJENS, J. P.; WALTERS, B. R. B. NRC user codes for EGSnrc Technical Report PIRS-702. Ottawa: National Research Council of Canada, 2000.

SALVAT, F.; FERNANDEZ-VAREA, J. M.; ACOSTA, E.; SEMPAU, J.PENELOPE—a code system for Monte Carlo simulation of electron and photon transport. Workshop Proc. Issy-les-Moulineaux, France, 7–10 July. Paris: Organization for Economic Cooperation and Development, 2003.

HUNT, J. G., CAVALCANTI, E. G., DOS SANTOS D. S., AZEREDO, A. M. G. Voxel phantoms and Monte Carlo methods applied to internal and external dose calculations. In. 11th International Congress of the International Radiation Protection Association, Madrid, IRPA - 11 Proceedings and Abstracts, 2004.

HUNT, J. G., DANTAS B. M., AZEREDO, A. M. G. F. Visual Monte Carlo in-vivo in the CONRAD and IAEA Whole Body Counter Intercomparisons. In. Workshop on Uncertainty Assessment in Computational Dosimetry, Bologna, 2007.

BOSCHETTI, S. R. Utilização e verificação do código GEANT4 em aplicaçõesmédicas: estudo de caso para eletróns. Dissertação de Mestrado - UFMG, 2013

YI, S., CHOI, J.The organization of scientific knowledge: the structural characteristics of keyword networks. Scientometrics, v. 90, n. 3, p. 1016-1026, 2012.

RAZUCK, F.B.; RAZUCK, R. C. S. R.Conhecimentos produzidos acerca da comunicação científica em Bakhtin: uma incursão nas dissertações e teses brasileiras. Praxis, v. 10, p. 103-115, 2018.

CTD. Catálogo de teses e dissertações da Capes. 2020.