Statistical analysis of the inherent variability in the results of evolutionary debris models
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Lidtke, AA, Lewis, HG and Armellin, Roberto (2017) Statistical analysis of the inherent variability in the results of evolutionary debris models Advances in Space Research, 59 (7). pp. 1698-1714.
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Interpreting results of evolutionary debris models_2ndReSubmission (002).pdf - Accepted version Manuscript Available under License : See the attached licence file. Download (3MB) | Preview |
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Abstract
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.
| Item Type: | Article | ||||||||||||
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| Subjects : | Electronic Engineering | ||||||||||||
| Divisions : | Faculty of Engineering and Physical Sciences > Electronic Engineering | ||||||||||||
| Authors : |
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| Date : | 16 January 2017 | ||||||||||||
| DOI : | 10.1016/j.asr.2017.01.004 | ||||||||||||
| Copyright Disclaimer : | © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | ||||||||||||
| Uncontrolled Keywords : | Orbital debris; Modelling; Monte Carlo; Uncertainty; Bootstrap | ||||||||||||
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| Depositing User : | Symplectic Elements | ||||||||||||
| Date Deposited : | 21 Feb 2017 16:10 | ||||||||||||
| Last Modified : | 16 Jan 2019 17:12 | ||||||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/813586 |
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