Optimization of Future Multifilter Surveys Toward Asteroid Characterization

The aim of this paper is to find a set of photometric passbands that will give optimal results for spectrophotometric classification of asteroids into taxonomic types and classes. For this purpose various machine-learning methods are used, namely multinomial logistic regression, naive Bayes, support...

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Veröffentlicht in:	The Astronomical journal 2023-12, Vol.166 (6), p.230
Hauptverfasser:	Klimczak, Hanna, Wilawer, Emil, Kwiatkowski, Tomasz, Kryszczyńska, Agnieszka, Oszkiewicz, Dagmara, Kotłowski, Wojciech, DeMeo, Francesca
Format:	Artikel
Sprache:	eng
Schlagworte:	Asteroid surfaces Asteroids Machine learning Multi-color photometry Multilayer perceptrons Optimization Reflectance Sky surveys (astronomy) Spectrophotometry Spectroscopy Support vector machines Taxonomy
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