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Reliability of meteoroid streams identification methods

Regina Rudawska

Abstract

The meteoroid stream identification algorithms are based on appropriately selected componets (meteoroid parameters, similarity function, threshold and cluster analysis method), which define the stream itself. The most commonly and widely used similarity function is the orbital D-criterion introduced by Southworth and Hawkins (1963). Meantime other criterions have been presented in the literature (Drummond 1981, Jopek 1993, Jopek et al. 1999, Jenniskens 2008), while the most recent one is defined in the domain of the vectorial heliocentric orbital elements Jopek et al. 2006. Additionally, we need to choose a suitable similarity threshold, Dc - a minimal value that allows us to explicitly imply the orbital similarity of compared objects. Having both, the distance function and the similarity threshold a meteoroid stream can be detected by a suitable cluster analysis algorythm. There are many cluster analysis algorithms: iterative method (Sekanina 1976, Welch 2001) single neighbour linking technique (Southworth & Hawkins 1963, Lindblad 1981), method of indices (Svoreň et al. 2000), wavelet transform technique (Galligan & Baggaley, 2002, Brown et al. 2008).The aim of present work is an assessment of reliability of various identification methods. For this purpose we use the artificially generated set of meteoroid streams mixed with the sporadic background.
Record ID
UAMb78eaac972d246f796163da9f94ea242
Diploma type
Doctor of Philosophy
Author
Title in Polish
Ocena wiarygodności metod identyfikacji strumieni meteoroidowych
Title in English
Reliability of meteoroid streams identification methods
Language
pol (pl) Polish
Certifying Unit
Faculty of Physics (SNŚ/WyF/FoP)
Discipline
astronomy / (physical sciences domain) / (physical sciences)
Scientific discipline (2.0)
6.1 astronomy
Status
Finished
Defense Date
26-02-2010
Title date
26-02-2010
Supervisor
URL
http://hdl.handle.net/10593/170 Opening in a new tab
Keywords in English
D-criterion, meteoroids, meteors, data analysis
Abstract in English
The meteoroid stream identification algorithms are based on appropriately selected componets (meteoroid parameters, similarity function, threshold and cluster analysis method), which define the stream itself. The most commonly and widely used similarity function is the orbital D-criterion introduced by Southworth and Hawkins (1963). Meantime other criterions have been presented in the literature (Drummond 1981, Jopek 1993, Jopek et al. 1999, Jenniskens 2008), while the most recent one is defined in the domain of the vectorial heliocentric orbital elements Jopek et al. 2006. Additionally, we need to choose a suitable similarity threshold, Dc - a minimal value that allows us to explicitly imply the orbital similarity of compared objects. Having both, the distance function and the similarity threshold a meteoroid stream can be detected by a suitable cluster analysis algorythm. There are many cluster analysis algorithms: iterative method (Sekanina 1976, Welch 2001) single neighbour linking technique (Southworth & Hawkins 1963, Lindblad 1981), method of indices (Svoreň et al. 2000), wavelet transform technique (Galligan & Baggaley, 2002, Brown et al. 2008).The aim of present work is an assessment of reliability of various identification methods. For this purpose we use the artificially generated set of meteoroid streams mixed with the sporadic background.

Uniform Resource Identifier
https://researchportal.amu.edu.pl/info/phd/UAMb78eaac972d246f796163da9f94ea242/
URN
urn:amu-prod:UAMb78eaac972d246f796163da9f94ea242

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