论文标题
从嘈杂和不完整的近红外光谱中得出S型小行星组成的新方法
A new method for deriving composition of S-type asteroids from noisy and incomplete near-infrared spectra
论文作者
论文摘要
可以使用从其近红外(NIR)光谱(0.7-2.50 $ $ m)以及从实验室样品中得出的光谱校准来确定S型小行星的表面组成。过去,这些经验方程是通过将陨石样品的NIR光谱与有关其组成和矿物丰度的信息相结合来获得的。对于这些方程式提供准确的结果,其得出的实验室光谱的特征应类似于小行星光谱数据(即相似的信噪比(S/N)和波长范围)。在这里,我们提出了新的光谱校准,可用于确定普通软骨样S型小行星的矿物质组成。与以前的工作相反,这项研究中使用的普通软骨光谱的S/N已减少,以重现小行星光谱中通常观察到的S/N,从而使我们获得了更现实的结果。此外,已针对涵盖0.7至2.50 $μ$ m的五个波长范围得出了新方程,从而可以确定具有不完整数据的小行星的组成。使用从小行星NIR光谱(25143)Itokawa测得的频带参数测试了新的光谱校准,并将结果与返回样品的实验室测量进行了比较。我们发现,光谱衍生的橄榄石和辉石化学是由fayalite(FA)和铁硅酸盐(FS)的摩尔含量给出的,与样品中测得的平均值非常吻合(Fa $ _ {28.6 \ pm1.1}} $ _ $ _ pm mol _ {28.6 \ pm1.1} $ _ {23.1 mol \ pmpm2.2}, Fa和1.4 mol \%\%。
The surface composition of S-type asteroids can be determined using band parameters extracted from their near-infrared (NIR) spectra (0.7-2.50 $μ$m) along with spectral calibrations derived from laboratory samples. In the past, these empirical equations have been obtained by combining NIR spectra of meteorite samples with information about their composition and mineral abundance. For these equations to give accurate results, the characteristics of the laboratory spectra they are derived from should be similar to those of asteroid spectral data (i.e., similar signal-to-noise ratio (S/N) and wavelength range). Here we present new spectral calibrations that can be used to determine the mineral composition of ordinary chondrite-like S-type asteroids. Contrary to previous work, the S/N of the ordinary chondrite spectra used in this study has been decreased to recreate the S/N typically observed among asteroid spectra, allowing us to obtain more realistic results. In addition, the new equations have been derived for five wavelength ranges encompassed between 0.7 and 2.50 $μ$m, making it possible to determine the composition of asteroids with incomplete data. The new spectral calibrations were tested using band parameters measured from the NIR spectrum of asteroid (25143) Itokawa, and comparing the results with laboratory measurements of the returned samples. We found that the spectrally derived olivine and pyroxene chemistry, which are given by the molar contents of fayalite (Fa) and ferrosilite (Fs), are in excellent agreement with the mean values measured from the samples (Fa$_{28.6\pm1.1}$ and Fs$_{23.1\pm2.2}$), with a maximum difference of 0.6 mol\% for Fa and 1.4 mol\% for Fs.