A modified debris risk index, FMM, is introduced and claimed to identify high-collision objects better than prior indices, but the validation appears to use the same simulations for both the labels and the rankings.
Parameters Evolution in Source-Sink Space Population Evolutionary Models
1 Pith paper cite this work, alongside 1 external citations. Polarity classification is still indexing.
abstract
MOCAT-SSEM is a Source-Sink model that predicts the Low Earth Orbit (LEO) space population divided into families using a predefined set of interaction parameters. Thanks to data from the Monte Carlo version of the model (MOCAT-MC), which propagates singularly every object, it is possible to estimate such parameters, assumed as additional stochastic variables. Thus, this paper proposed a new set of parameters so that the new Source-Sink model prediction better fits the computationally expensive and accurate MOCAT-MC simulation. Estimation is performed by extracting stochastic quantities from the space population, which has been analyzed to fit common probability density functions.
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The Sustainability of the Leo Orbit Capacity via Risk-Driven Active Debris Removal
A modified debris risk index, FMM, is introduced and claimed to identify high-collision objects better than prior indices, but the validation appears to use the same simulations for both the labels and the rankings.