源-汇空间种群进化模型中的参数演变

Erin Ashley, Carla Simon Sanz, Simone Servadio, Giovanni Lavezzi
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引用次数: 0

摘要

MOCAT-SSEM 是一个源-汇模型,它利用一组预定义的相互作用参数对低地轨道 (LEO)空间群进行预测。该模型的蒙特卡洛版本(MOCAT-MC)对每个物体都进行了奇异的传播,利用该版本的数据,可以对这些假定为附加随机变量的参数进行估算。因此,本文提出了一组新的参数,使新的源-汇模型预测能更好地适应计算昂贵而精确的 MOCAT-MC 模拟。估计是通过从空间群中提取随机量来进行的,这些随机量已经过分析,以拟合常见的概率密度函数。
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Parameters Evolution in Source-Sink Space Population Evolutionary Models
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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