论文标题
使用旧方法：确定具有经验关系和机器学习模型的棕色矮人的物理特性
Using Old and New Approaches: Determining Physical Properties of Brown Dwarfs with Empirical Relations and Machine Learning Models
论文作者
论文摘要
我们使用$ \ textit {the Cannon} $从其光度法和光谱中直接从其光度法和光谱中直接推断出机器学习模型的应用。我们证明，可以从L和T矮人的低分辨率Spex Prism光谱确定的绝对大小，光谱类型和光谱指数，而没有三角视差测量，并且具有常用方法的精确竞争。对于具有足够精确光谱和光度法的T矮人，可以以可与使用多项式关系作为绝对大小的函数的方法相媲美的精确度确定辐射光度和有效温度。我们还提供了新的和更新的多项式关系，以绝对大小为频谱类型L0-T8在14个频段中的函数，跨越Pan-starrs $ r_ {p1} $ to Allwise $ \ textit {w3} $，使用256个Brown dwarfs完全由Allallaxes定义。其中包括使用Pan-Starrs1光度法的棕色矮人的第一个关系，以及使用体积限制样品的几个红外带的第一个关系。我们发现，与依赖于三角差异测量值的多项式关系相比，使用$ \ textit {Cannon} $的新方法可以以相等或更小的不确定性来推断绝对幅度。
We investigate applications of machine learning models to directly infer physical properties of brown dwarfs from their photometry and spectra using $\textit{The Cannon}$. We demonstrate that absolute magnitudes, spectral types, and spectral indices can be determined from low-resolution SpeX prism spectra of L and T dwarfs without trigonometric parallax measurements and with precisions competitive with commonly used methods. For T dwarfs with sufficiently precise spectra and photometry, bolometric luminosities and effective temperatures can be determined at precisions comparable to methods that use polynomial relations as a function of absolute magnitudes. We also provide new and updated polynomial relations for absolute magnitudes as a function of spectral types L0-T8 in 14 bands spanning Pan-STARRS $r_{P1}$ to AllWISE $\textit{W3}$, using a volume-limited sample of 256 brown dwarfs defined entirely by parallaxes. These include the first relations for brown dwarfs using Pan-STARRS1 photometry and the first for several infrared bands using a volume-limited sample. We find that our novel method with $\textit{The Cannon}$ can infer absolute magnitudes with equal or smaller uncertainties than the polynomial relations that depend on trigonometric parallax measurements.
