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Photometric brown-dwarf classification - I. A method to identify and accurately classify large samples of brown dwarfs without spectroscopy

机译:光度棕矮星分类-I.无需光谱法即可识别和准确分类棕矮星大样本的方法

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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 μm, selected from an area of 3344 deg2, by combining SDSS, UKIDSS LAS, and WISE data. Sources with 13.0 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 photometry in the surveyed area and magnitude range, 189 are recovered by our selection and classification method. We have quantified the accuracy of the classification method both externally, with spectroscopy, and internally, by creating synthetic catalogues and accounting for the uncertainties. We find that, brighter than J = 17.5, photo-type classifications are accurate to one spectral sub-type, and are therefore competitive with spectroscopic classifications. The resultant catalogue of 1157 L and T dwarfs will be presented in a companion paper.
机译:目的我们提出了一种名为“光型”的方法,该方法可以单独使用光度法将L和T小矮人识别并准确分类到标准光谱分类系统中。这样就可以高效地创建这些对象的大而深的均匀样本,而无需进行光谱学检查。方法。通过结合SDSS,UKIDSS LAS和WISE数据,从3344 deg2的区域中选择了8个波段(从0.75到4.6μm)的光度学,创建了一个点光源目录。然后,通过与类星体,恒星和褐矮星的模板颜色进行比较,对来源为13.0 0.8的源进行分类。 L和T模板,光谱类型L0至T8,是通过使用光谱分类识别先前已知的来源并拟合颜色和光谱类型之间的多项式关系而创建的。结果。在我们所选择的面积和大小范围内的192个已知L和T小矮人中,它们具有可靠的测光法,其中189个被回收。我们已通过创建综合目录并考虑了不确定性,通过光谱学从内部和外部对分类方法的准确性进行了量化。我们发现,比J = 17.5亮的照片类型分类对于一种光谱子类型而言是准确的,因此与光谱分类具有竞争性。伴生的1157个L和T小矮星的最终目录。

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