Photometric brown-dwarf classification. I. A method to identify and accurately classify large samples of brown dwarfs without spectroscopy
Nathalie Skrzypek, Stephen J. Warren, Jacqueline K. Faherty, Daniel J., Mortlock, Adam J. Burgasser, Paul C. Hewett

TL;DR
The paper introduces 'photo-type', a photometric method to identify and classify L and T brown dwarfs accurately, enabling large sample creation without spectroscopy by using multi-band photometry and template fitting.
Contribution
It presents a novel photometric classification technique for brown dwarfs that achieves spectroscopic accuracy, facilitating large-scale, efficient surveys without spectroscopy.
Findings
189 out of 192 known L and T dwarfs were correctly classified
Classification accuracy is within one spectral sub-type for J < 17.5
The method enables creation of large, homogeneous brown dwarf samples
Abstract
Aims. We present a method, named photo-type, to identify and accurately classify L and T dwarfs onto the standard spectral classification system using photometry alone. This enables the creation of large and deep homogeneous samples of these objects efficiently, without the need for spectroscopy. Methods. We created a catalogue of point sources with photometry in 8 bands, ranging from 0.75 to 4.6 microns, selected from an area of 3344 deg^2, by combining SDSS, UKIDSS LAS, and WISE data. Sources with 13.0 < J < 17.5, and Y - J > 0.8, were then classified by comparison against template colours of quasars, stars, and brown dwarfs. The L and T templates, spectral types L0 to T8, were created by identifying previously known sources with spectroscopic classifications, and fitting polynomial relations between colour and spectral type. Results. Of the 192 known L and T dwarfs with reliable…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astronomical Observations and Instrumentation
