Erin Ashley, Carla Simon Sanz, Simone Servadio, Giovanni Lavezzi
{"title":"Parameters Evolution in Source-Sink Space Population Evolutionary Models","authors":"Erin Ashley, Carla Simon Sanz, Simone Servadio, Giovanni Lavezzi","doi":"arxiv-2407.21000","DOIUrl":null,"url":null,"abstract":"MOCAT-SSEM is a Source-Sink model that predicts the Low Earth Orbit (LEO)\nspace population divided into families using a predefined set of interaction\nparameters. Thanks to data from the Monte Carlo version of the model\n(MOCAT-MC), which propagates singularly every object, it is possible to\nestimate such parameters, assumed as additional stochastic variables. Thus,\nthis paper proposed a new set of parameters so that the new Source-Sink model\nprediction better fits the computationally expensive and accurate MOCAT-MC\nsimulation. Estimation is performed by extracting stochastic quantities from\nthe space population, which has been analyzed to fit common probability density\nfunctions.","PeriodicalId":501172,"journal":{"name":"arXiv - STAT - Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.21000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.