130956 20240202151703.0 doi 10.1007/s10569-018-9873-1 sideral 110468 ART-2018-110468 eng Petit, A. Creation of a synthetic population of space debris to reduce discrepancies between simulation and observations 2018 The number of space debris has increased in the orbital environment, and consequently, the risk of collision between satellites and space debris or space debris and space debris has become a hot topic in Celestial Mechanics. Unfortunately, just a small fraction of the biggest and brightest objects are visible by means of radar and optical telescopes. In the last years, many efforts have been made to simulate the creation of space debris populations through different models, which use different sources and diverse orbital propagators, to study how they evolve in the near future. Modeling a fragmentation event is rather complex; furthermore, large uncertainties appear in the number of created fragments, the ejection directions and velocities. In this paper, we propose an innovative way to create a synthetic population of space debris from simulated data, which are constrained by observational data, plus an iterative proportional fitting method to adjust the simulated population by statistical means. The final purpose consists in improving a synthetic population of space debris created with a space debris model helped by an additional data set which allows to converge toward a new synthetic population whose global statistical properties are more satisfying. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/DGA-FEDER/E24-17R info:eu-repo/grantAgreement/ES/MINECO-FEDER/ESP2017-87113-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.837 2018 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 42 / 104 = 0.404 2018 Q2 T2 ASTRONOMY & ASTROPHYSICS 38 / 69 = 0.551 2018 Q3 T2 0.781 2018 Applied Mathematics 2018 Q1 Astronomy and Astrophysics 2018 Q1 Space and Planetary Science 2018 Q1 Mathematical Physics 2018 Q1 Modeling and Simulation 2018 Q1 Computational Mathematics 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Casanova, D. (orcid)0000-0002-7620-4523 Dumont, M. Lemaitre, A. 130, 12 (2018), UNSP 79 [19 pp] Celest. mech. dyn. astron. Celestial Mechanics and Dynamical Astronomy 0923-2958 498020 http://zaguan.unizar.es/record/130956/files/texto_completo.pdf Postprint 1246904 http://zaguan.unizar.es/record/130956/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:130956 articulos driver 2024-02-02-14:49:03 ARTICLE