Statistical analysis of the inherent variability in the results of evolutionary debris models

  1. Lidtke, A.A. 1
  2. Lewis, H.G. 1
  3. Armellin, R. 23
  1. 1 University of Southampton
    info

    University of Southampton

    Southampton, Reino Unido

    ROR https://ror.org/01ryk1543

  2. 2 University of Surrey
    info

    University of Surrey

    Guildford, Reino Unido

    ROR https://ror.org/00ks66431

  3. 3 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Revista:
Advances in Space Research

ISSN: 0273-1177

Año de publicación: 2017

Tipo: Artículo

DOI: 10.1016/J.ASR.2017.01.004 SCOPUS: 2-s2.0-85010379891 GOOGLE SCHOLAR

Otras publicaciones en: Advances in Space Research

Resumen

Space debris simulations, e.g. those performed by the Inter-Agency Debris Coordination Committee (Liou et al., 2013), showed that the number of objects in orbit is likely to increase. This study analyses the uncertainty in the results of space debris simulations performed using semi-stochastic models that necessitate the use of Monte Carlo simulations, which are often used by the Inter-Agency Debris Coordination Committee, amongst other studies. Statistics of the possible numbers of objects in orbit and collisions over the next 200. years are generated for the "mitigation only" scenario using a sample of 25,000 Monte Carlo runs. Bootstraps on the mean, median, variance, skewness and kurtosis of these distributions are performed. It is shown that the distribution of the objects predicted to be on-orbit becomes log-normal as collisions occur, and that Monte Carlo samples larger than traditionally used are needed to capture the debris simulation uncertainty. © 2017 COSPAR.