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Creation of a synthetic population of space debris to reduce discrepancies between simulation and observations

  • Alexis PetitEmail author
  • Daniel Casanova
  • Morgane Dumont
  • Anne Lemaître
Original Article
  • 64 Downloads

Abstract

The number of space debris has increased in the orbital environment, and consequently, the risk of collision between satellites and space debris or space debris and space debris has become a hot topic in Celestial Mechanics. Unfortunately, just a small fraction of the biggest and brightest objects are visible by means of radar and optical telescopes. In the last years, many efforts have been made to simulate the creation of space debris populations through different models, which use different sources and diverse orbital propagators, to study how they evolve in the near future. Modeling a fragmentation event is rather complex; furthermore, large uncertainties appear in the number of created fragments, the ejection directions and velocities. In this paper, we propose an innovative way to create a synthetic population of space debris from simulated data, which are constrained by observational data, plus an iterative proportional fitting method to adjust the simulated population by statistical means. The final purpose consists in improving a synthetic population of space debris created with a space debris model helped by an additional data set which allows to converge toward a new synthetic population whose global statistical properties are more satisfying.

Keywords

Space debris Synthetic population GEO region Iterative proportional fitting method Microsimulation 

Notes

Acknowledgements

The work of A. Petit is supported by a F.R.I.A Ph.D grant. The work of D. Casanova was supported by the Spanish Ministry of Economy and Competitiveness, Project No. ESP2017–87113–R (AEI/FEDER, UE), and by the Aragon Government and European Social Fund (Group E24_17R). This research used resources of the “Plateforme Technologique de Calcul Intensif (PTCI)” (http://www.ptci.unamur.be) located at the University of Namur, Belgium, which is supported by the F.R.S.-FNRS under the convention No. 2.4520.11. The PTCI is a member of the “Consortium des quipements de Calcul Intensif (CCI)” (http://www.ceci-hpc.be).

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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.University of NamurNamurBelgium
  2. 2.Centro Universitario de la DefensaSaragossaSpain

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