Benjamin F. CookeCentre for Space Domain Awareness, University of Warwick, UKDepartment of Physics, University of Warwick, UK, James A. BlakeCentre for Space Domain Awareness, University of Warwick, UKDepartment of Physics, University of Warwick, UK, Paul ChoteCentre for Space Domain Awareness, University of Warwick, UKDepartment of Physics, University of Warwick, UK, James McCormacCentre for Space Domain Awareness, University of Warwick, UKDepartment of Physics, University of Warwick, UK, Don PollaccoCentre for Space Domain Awareness, University of Warwick, UKDepartment of Physics, University of Warwick, UK
{"title":"Predicting RSO Populations Using a Neighbouring Orbits Technique","authors":"Benjamin F. CookeCentre for Space Domain Awareness, University of Warwick, UKDepartment of Physics, University of Warwick, UK, James A. BlakeCentre for Space Domain Awareness, University of Warwick, UKDepartment of Physics, University of Warwick, UK, Paul ChoteCentre for Space Domain Awareness, University of Warwick, UKDepartment of Physics, University of Warwick, UK, James McCormacCentre for Space Domain Awareness, University of Warwick, UKDepartment of Physics, University of Warwick, UK, Don PollaccoCentre for Space Domain Awareness, University of Warwick, UKDepartment of Physics, University of Warwick, UK","doi":"arxiv-2408.04966","DOIUrl":null,"url":null,"abstract":"The determination of the full population of Resident Space Objects (RSOs) in\nLow Earth Orbit (LEO) is a key issue in the field of space situational\nawareness that will only increase in importance in the coming years. We\nendeavour to describe a novel method of inferring the population of RSOs as a\nfunction of orbital height and inclination for a range of magnitudes. The\nmethod described uses observations of an orbit of known height and inclination\nto detect RSOs on neighbouring orbits. These neighbouring orbit targets move\nslowly relative to our tracked orbit, and are thus detectable down to faint\nmagnitudes. We conduct simulations to show that, by observing multiple passes\nof a known orbit, we can infer the population of RSOs within a defined region\nof orbital parameter space. Observing a range of orbits from different orbital\nsites will allow for the inference of a population of LEO RSOs as a function of\ntheir orbital parameters and object magnitude.","PeriodicalId":501163,"journal":{"name":"arXiv - PHYS - Instrumentation and Methods for Astrophysics","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Instrumentation and Methods for Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.04966","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
The determination of the full population of Resident Space Objects (RSOs) in
Low Earth Orbit (LEO) is a key issue in the field of space situational
awareness that will only increase in importance in the coming years. We
endeavour to describe a novel method of inferring the population of RSOs as a
function of orbital height and inclination for a range of magnitudes. The
method described uses observations of an orbit of known height and inclination
to detect RSOs on neighbouring orbits. These neighbouring orbit targets move
slowly relative to our tracked orbit, and are thus detectable down to faint
magnitudes. We conduct simulations to show that, by observing multiple passes
of a known orbit, we can infer the population of RSOs within a defined region
of orbital parameter space. Observing a range of orbits from different orbital
sites will allow for the inference of a population of LEO RSOs as a function of
their orbital parameters and object magnitude.
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