资源分类
》 资源 》论文》Finding Galaxies in the Shadows of Quasars with Gaussian Processes

Finding Galaxies in the Shadows of Quasars with Gaussian Processes

2020-03-05 | |  68 |   43 |   0

Abstract

We develop an automated technique for detecting damped Lyman-? absorbers (DLAs) along spectroscopic sightlines to quasi-stellar objects (QSOs or quasars). The detection of DLAs in large-scale spectroscopic surveys such as SDSS – III is critica to address outstanding cosmological questions, such as the nature of galaxy formation. We use nearly 50 000 QSO spectra to learn a tailored Gaussian process model for quasar emission spectra, which we apply to the DLA detection problem via Bayesian model selection. We demonstrate our method’s effectiveness with a large-scale validation experiment on over 100 000 spectra, with excellent performance.

上一篇：Landmarking Manifolds with Gaussian Processes

下一篇：Fixed-point algorithms for learning determinantal point processes

用户评价
全部评价

热门资源

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...