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arXiv 1605.04460astro-ph.COphysics.data-an
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用高斯过程检测阻尼Lyman- $α$吸收体

Detecting Damped Lyman-$α$ Absorbers with Gaussian Processes

Roman Garnett, Shirley Ho, Simeon Bird, Jeff Schneider

摘要:

我们开发了一种自动化的技术,用于检测阻尼莱曼- $α$吸收体(DLAs)沿光谱视线的类星体(类星体或类星体)。在SDSS-III等大型光谱巡天中对DLAs的探测揭示了高红移下的星系形成,显示了星系从扩散气体中成核。我们使用近50000类星体光谱学习一种新的定制高斯过程模型的类星体发射光谱,我们应用到DLA检测问题,通过贝叶斯模型选择。我们提出了模型,用于确定任意数量的DLAs沿给定的视线。我们证明了我们的方法的有效性,使用大规模的验证实验,具有优异的性能。我们还提供了一个目录,我们的结果适用于162 858光谱SDSS-III数据发布12。

英文摘要:

We develop an automated technique for detecting damped Lyman-$α$ absorbers (DLAs) along spectroscopic lines of sight to quasi-stellar objects (QSOs or quasars). The detection of DLAs in large-scale spectroscopic surveys such as SDSS-III sheds light on galaxy formation at high redshift, showing the nucleation of galaxies from diffuse gas. We use nearly 50 000 QSO spectra to learn a novel tailored Gaussian process model for quasar emission spectra, which we apply to the DLA detection problem via Bayesian model selection. We propose models for identifying an arbitrary number of DLAs along a given line of sight. We demonstrate our method's effectiveness using a large-scale validation experiment, with excellent performance. We also provide a catalog of our results applied to 162 858 spectra from SDSS-III data release 12.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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