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Semi-automated Extraction of Digital Objective Prism Spectra

机译:数字自动物镜棱镜光谱的半自动提取

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摘要

We describe a method for the extraction of spectra from high dispersion objective prism plates. Our method is a catalogue driven plate solution approach, making use of the Right Ascension and Declination coordinates for the target objects. In contrast to existing methods of photographic plate reduction, we digitize the entire plate and extract spectra off-line. This approach has the advantages that it can be applied to CCD objective prism images, and spectra can be re-extracted (or additional spectra extracted) without having to re-scan the plate. After a brief initial interactive period, the subsequent reduction procedure is completely automatic, resulting in fully-reduced, wavelength justified spectra. We also discuss a method of removing stellar continua using a combination of non-linear filtering algorithms. The method described is used to extract over 12,000 spectra from a set of 92 objective prism plates. These spectra are used in an associated project to develop automated spectral classifiers based on neural networks.
机译:我们描述了一种从高色散物镜棱镜板上提取光谱的方法。我们的方法是目录驱动的印版解决方案方法,它利用目标对象的右上扬和赤纬坐标。与现有的摄影印版缩小方法相比,我们将整个印版数字化并离线提取光谱。这种方法的优点是可以应用于CCD物镜图像,并且无需重新扫描板就可以重新提取光谱(或提取其他光谱)。经过短暂的初始交互作用之后,随后的还原过程将完全自动进行,从而产生完全还原的,波长合理的光谱。我们还将讨论一种使用非线性滤波算法的组合来去除恒星连续体的方法。所描述的方法用于从一组92个物镜棱镜板上提取超过12,000个光谱。这些光谱在关联的项目中用于开发基于神经网络的自动化光谱分类器。

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