论文标题
在DESI传统成像调查中发现新的强力镜头
Discovering New Strong Gravitational Lenses in the DESI Legacy Imaging Surveys
论文作者
论文摘要
我们已经在黑暗能量光谱仪器遗产成像调查的数据释放8中搜索了新的强力重力镜头系统。我们使用深层残留神经网络，这是基于Huang等人的先前工作。 （2020）。这些调查一起覆盖了从北半球可见的大约三分之一的天空，达到Z带的幅度约为22.5。我们编译了由已知的镜头系统以及遗产调查和黑暗能源调查中的非镜头组成的训练样本。将训练有素的神经网络应用于调查数据之后，我们以高于阈值的概率进行视觉检查和对图像进行排名。在这里，我们提出了1210个新的强镜头候选者。
We have conducted a search for new strong gravitational lensing systems in the Dark Energy Spectroscopic Instrument Legacy Imaging Surveys' Data Release 8. We use deep residual neural networks, building on previous work presented in Huang et al. (2020). These surveys together cover approximately one third of the sky visible from the northern hemisphere, reaching a z band AB magnitude of ~22.5. We compile a training sample that consists of known lensing systems as well as non-lenses in the Legacy Surveys and the Dark Energy Survey. After applying our trained neural networks to the survey data, we visually inspect and rank images with probabilities above a threshold. Here we present 1210 new strong lens candidates.
