A dynamics based procedure for clustering and classifying space debris
Abstract Space debris around the Earth are becoming an increasing threat for space missions. Their number is growing due to the frequent launches of satellites from space agencies and private enterprises. This study examines simulated break-up events alongside actual samples of catastrophic events;...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-02434-9 |
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| _version_ | 1849325951682347008 |
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| author | Alessandra Celletti Tudor Vartolomei |
| author_facet | Alessandra Celletti Tudor Vartolomei |
| author_sort | Alessandra Celletti |
| collection | DOAJ |
| description | Abstract Space debris around the Earth are becoming an increasing threat for space missions. Their number is growing due to the frequent launches of satellites from space agencies and private enterprises. This study examines simulated break-up events alongside actual samples of catastrophic events; we analyse the generated fragments with the objective of assigning them to clusters and classifying the debris based on their dynamical properties. We propose to accomplish these goals by performing the analysis using the so-called proper elements, which are quantities obtained by implementing perturbation theory to average the equations of motion over the angle variables. Subsequent to this filtering procedure, the proper elements enjoy the remarkable property to remain nearly constant over time. We find that proper elements are highly suitable for the analysis through machine learning methods with the purposes of clustering and classifying the fragments. |
| format | Article |
| id | doaj-art-55f5a19302904fcbb6232e3d5dc46ca4 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-55f5a19302904fcbb6232e3d5dc46ca42025-08-20T03:48:15ZengNature PortfolioScientific Reports2045-23222025-05-011511910.1038/s41598-025-02434-9A dynamics based procedure for clustering and classifying space debrisAlessandra Celletti0Tudor Vartolomei1Department of Mathematics, University of Roma Tor VergataFaculty of Mathematics, Al. I. Cuza UniversityAbstract Space debris around the Earth are becoming an increasing threat for space missions. Their number is growing due to the frequent launches of satellites from space agencies and private enterprises. This study examines simulated break-up events alongside actual samples of catastrophic events; we analyse the generated fragments with the objective of assigning them to clusters and classifying the debris based on their dynamical properties. We propose to accomplish these goals by performing the analysis using the so-called proper elements, which are quantities obtained by implementing perturbation theory to average the equations of motion over the angle variables. Subsequent to this filtering procedure, the proper elements enjoy the remarkable property to remain nearly constant over time. We find that proper elements are highly suitable for the analysis through machine learning methods with the purposes of clustering and classifying the fragments.https://doi.org/10.1038/s41598-025-02434-9 |
| spellingShingle | Alessandra Celletti Tudor Vartolomei A dynamics based procedure for clustering and classifying space debris Scientific Reports |
| title | A dynamics based procedure for clustering and classifying space debris |
| title_full | A dynamics based procedure for clustering and classifying space debris |
| title_fullStr | A dynamics based procedure for clustering and classifying space debris |
| title_full_unstemmed | A dynamics based procedure for clustering and classifying space debris |
| title_short | A dynamics based procedure for clustering and classifying space debris |
| title_sort | dynamics based procedure for clustering and classifying space debris |
| url | https://doi.org/10.1038/s41598-025-02434-9 |
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