Classification of Subgroups of Solar and Heliospheric Observatory (SOHO) Sungrazing Kreutz Comet Group by the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Clustering Algorithm
Sungrazing comets, known for their proximity to the Sun, are traditionally classified into broad groups like Kreutz, Marsden, Kracht, Meyer, and non-group comets. While existing methods successfully categorize these groups, finer distinctions within the Kreutz subgroup remain a challenge. In this st...
Uloženo v:
| Vydáno v: | Journal of astronomy and space sciences Ročník 41; číslo 1; s. 35 - 42 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
The Korean Space Science Society
01.03.2024
한국우주과학회 |
| Témata: | |
| ISSN: | 2093-5587, 2093-1409 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | Sungrazing comets, known for their proximity to the Sun, are traditionally
classified into broad groups like Kreutz, Marsden, Kracht, Meyer, and non-group
comets. While existing methods successfully categorize these groups, finer
distinctions within the Kreutz subgroup remain a challenge. In this study, we
introduce an automated classification technique using the density-based spatial
clustering of applications with noise (DBSCAN) algorithm to categorize
sungrazing comets. Our method extends traditional classifications by finely
categorizing the Kreutz subgroup into four distinct subgroups based on a
comprehensive range of orbital parameters, providing critical insights into the
origins and dynamics of these comets. Corroborative analyses validate the
accuracy and effectiveness of our method, offering a more efficient framework
for understanding the categorization of sungrazing comets. |
|---|---|
| ISSN: | 2093-5587 2093-1409 |
| DOI: | 10.5140/JASS.2024.41.1.35 |