Estimação estatística da posição do atirador e de ejeção de cartuchos em armas de fogo semiautomáticas.


Abstract

Understanding the dynamics of a crime scene involving a firearm is intrinsically correlated with the shooter's position at the time of the shot. However, estimating their position based solely on the location of ejected cartridges from semi-automatic firearms becomes challenging due to the inherent variability of the data, along with potential movement of the shooter. The aim of this study is to investigate the variability of ejected casings after firearm shots and thereby establish a probable shooter position region based on probabilistic models. To this end, five firearms (CZ 75 P 07, Imbel MD2 / MD6, Taurus 838/840) were used, with approximately 500 shots fired. It was possible to verify that the proposed probability distribution had a suitable fit, with casings being ejected to the right and back of the shooter in typical grips, each with distinct distances and angles in the different firearms analyzed, thus enabling the establishment of a probable shooter position area.


References

  1. Sims, E., and Barksdale, L., “The Importance of Careful Interpretation of Shell Casing Ejection. Patterns”, Journal of Forensic Identification, 2005, Vol. 55, Nº 6, pgs. 726-740.
  2. Hueske, E.E., (2015) Practical analysis and reconstruction of shooting incidents: Second edition. DO - 10.1201/b19092.
  3. Haag, Michael G. & Haag, Lucien C. (2011). Shooting Incident Reconstruction: Second Edition. New York: Academic Press. ISBN 978-0-12-382241-3.
  4. King, W. R., Campbell, B. A., Matusiak, M. C., & Katz, C. (2017). Forensic Evidence and Criminal Investigations: The Impact of Ballistics Information on the Investigation of Violent Crime in Nine Cities, Journal of Forensic Sciences, 62(4), 874-880. https://doi.org/10.1111/1556-4029.13380.
  5. William J. Lewinski, Ph.D.1, William B. Hudson, Ph.D.2, David Karwoski3, Christa J. Redmann4. Fired cartridge case ejection patterns from semi-automatic firearms, Investigative Sciences Journal. Volume 2, Number 3, November 2010.
  6. Ian K. Pepper, Steve T. Bloomer. Cartridge Casing Ejection Patterns from Two Types of 9 mm Self-loading Pistols Can Be Distinguished from Each Other. Technical Note.
  7. Łukasz Raczyński. Establishing the approximate location where a handgun has been fired on the basis of the landing location of a spent cartridge case, Problems of Forensic Sciences 2015. Volume 104.
  8. E.A. Cooper and H. Farid. A Toolbox for the Radial and Angular Marginalization of Bivariate Normal Distributions. arXiv, 2005.09696, 2020.
  9. R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
  10. Rice SO (1944). “Mathematical analysis of random noise.” The Bell System Technical Journal, 23(3), 282–332.
  11. Gilliland DC (1962). “Integral of the bivariate normal distribution over an offset circle.” Journal of the American Statistical Association, 57(300), 758–768.

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