Machine Learning to Improve Two-Line Element Analysis Utilizing Analytic Continuation Propagated Fragments

Katharine E. Larsen; Tahsinul H. Tasif; Riccardo Bevilacqua

doi:10.52202/078360-0157

Machine Learning to Improve Two-Line Element Analysis Utilizing Analytic Continuation Propagated Fragments

Katharine E. Larsen, Tahsinul H. Tasif, Riccardo Bevilacqua

Embry-Riddle Aeronautical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	22nd IAA Symposium on Space Debris - Held at the 75th International Astronautical Congress, IAC 2024
Publisher	International Astronautical Federation, IAF
Pages	1636-1646
Number of pages	11
ISBN (Electronic)	9798331312114
DOIs	https://doi.org/10.52202/078360-0157
State	Published - 2024
Externally published	Yes
Event	22nd IAA Symposium on Space Debris at the 75th International Astronautical Congress, IAC 2024 - Milan, Italy Duration: Oct 14 2024 → Oct 18 2024

Publication series

Name	Proceedings of the International Astronautical Congress, IAC
Volume	3
ISSN (Print)	0074-1795

Conference

Conference	22nd IAA Symposium on Space Debris at the 75th International Astronautical Congress, IAC 2024
Country/Territory	Italy
City	Milan
Period	10/14/24 → 10/18/24

ASJC Scopus Subject Areas

Aerospace Engineering
Astronomy and Astrophysics
Space and Planetary Science

Keywords

Breakup Model
Machine Learning
Spacecraft Explosion
Spacecraft Fragmentation
Two-Line Elements

Access to Document

10.52202/078360-0157

Cite this

Larsen, K. E., Tasif, T. H., & Bevilacqua, R. (2024). Machine Learning to Improve Two-Line Element Analysis Utilizing Analytic Continuation Propagated Fragments. In 22nd IAA Symposium on Space Debris - Held at the 75th International Astronautical Congress, IAC 2024 (pp. 1636-1646). (Proceedings of the International Astronautical Congress, IAC; Vol. 3). International Astronautical Federation, IAF. https://doi.org/10.52202/078360-0157

Machine Learning to Improve Two-Line Element Analysis Utilizing Analytic Continuation Propagated Fragments. / Larsen, Katharine E.; Tasif, Tahsinul H.; Bevilacqua, Riccardo.
22nd IAA Symposium on Space Debris - Held at the 75th International Astronautical Congress, IAC 2024. International Astronautical Federation, IAF, 2024. p. 1636-1646 (Proceedings of the International Astronautical Congress, IAC; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Larsen, KE, Tasif, TH & Bevilacqua, R 2024, Machine Learning to Improve Two-Line Element Analysis Utilizing Analytic Continuation Propagated Fragments. in 22nd IAA Symposium on Space Debris - Held at the 75th International Astronautical Congress, IAC 2024. Proceedings of the International Astronautical Congress, IAC, vol. 3, International Astronautical Federation, IAF, pp. 1636-1646, 22nd IAA Symposium on Space Debris at the 75th International Astronautical Congress, IAC 2024, Milan, Italy, 10/14/24. https://doi.org/10.52202/078360-0157

Larsen KE, Tasif TH, Bevilacqua R. Machine Learning to Improve Two-Line Element Analysis Utilizing Analytic Continuation Propagated Fragments. In 22nd IAA Symposium on Space Debris - Held at the 75th International Astronautical Congress, IAC 2024. International Astronautical Federation, IAF. 2024. p. 1636-1646. (Proceedings of the International Astronautical Congress, IAC). doi: 10.52202/078360-0157

Larsen, Katharine E. ; Tasif, Tahsinul H. ; Bevilacqua, Riccardo. / Machine Learning to Improve Two-Line Element Analysis Utilizing Analytic Continuation Propagated Fragments. 22nd IAA Symposium on Space Debris - Held at the 75th International Astronautical Congress, IAC 2024. International Astronautical Federation, IAF, 2024. pp. 1636-1646 (Proceedings of the International Astronautical Congress, IAC).

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Machine Learning to Improve Two-Line Element Analysis Utilizing Analytic Continuation Propagated Fragments

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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