Random forest classification of stars in the Galactic Centre
Autor: | P. M. Plewa |
---|---|
Rok vydání: | 2018 |
Předmět: |
Physics
Stellar population Milky Way FOS: Physical sciences Spectral density Astronomy and Astrophysics Astrophysics::Cosmology and Extragalactic Astrophysics Astrophysics Stellar classification 01 natural sciences Random forest Stars Star cluster Space and Planetary Science 0103 physical sciences Astrophysics::Solar and Stellar Astrophysics Astrophysics::Earth and Planetary Astrophysics Astrophysics - Instrumentation and Methods for Astrophysics 010306 general physics Instrumentation and Methods for Astrophysics (astro-ph.IM) 010303 astronomy & astrophysics Classifier (UML) Astrophysics::Galaxy Astrophysics |
Zdroj: | Monthly Notices of the Royal Astronomical Society. 476:3974-3980 |
ISSN: | 1365-2966 0035-8711 |
DOI: | 10.1093/mnras/sty511 |
Popis: | Near-infrared high-angular resolution imaging observations of the Milky Way's nuclear star cluster have revealed all luminous members of the existing stellar population within the central parsec. Generally, these stars are either evolved late-type giants or massive young, early-type stars. We revisit the problem of stellar classification based on intermediate-band photometry in the K-band, with the primary aim of identifying faint early-type candidate stars in the extended vicinity of the central massive black hole. A random forest classifier, trained on a subsample of spectroscopically identified stars, performs similarly well as competitive methods (F1=0.85), without involving any model of stellar spectral energy distributions. Advantages of using such a machine-trained classifier are a minimum of required calibration effort, a predictive accuracy expected to improve as more training data becomes available, and the ease of application to future, larger data sets. By applying this classifier to archive data, we are also able to reproduce the results of previous studies of the spatial distribution and the K-band luminosity function of both the early- and late-type stars. accepted for publication in MNRAS |
Databáze: | OpenAIRE |
Externí odkaz: |