New Strong Gravitational Lenses from the DESI Legacy Imaging Surveys Data Release 9

The Astrophysical Journal Supplement Series Pub Date : 2024-09-09 DOI:10.3847/1538-4365/ad527e

C. Storfer, X. Huang, A. Gu, W. Sheu, S. Banka, A. Dey, J. Inchausti Reyes, A. Jain, K. J. Kwon, D. Lang, V. Lee, A. Meisner, J. Moustakas, A. D. Myers, S. Tabares-Tarquinio, E. F. Schlafly, D. J. Schlegel

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Abstract

We have conducted a search for strong gravitational lensing systems in the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys Data Release 9. This is the third paper in a series. These surveys together cover ∼19,000 deg² visible from the Northern Hemisphere, reaching a z-band AB magnitude of ∼22.5. We use a deep residual neural network, trained on a compilation of known lensing systems and high-grade candidates as well as nonlenses in the same footprint. After applying our trained neural network to the survey data, we visually inspect and rank images with probabilities above a threshold which has been chosen to balance precision and recall. We have found 1895 lens candidates, of which 1512 are identified for the first time. Combining the discoveries from this work with those from Papers I (335) and II (1210), we have discovered a total of 3057 new candidates in the Legacy Surveys.

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来自 DESI 遗留成像巡天数据第 9 版的新强引力透镜

我们在暗能量光谱仪（DESI）遗留成像巡天数据第 9 版中对强引力透镜系统进行了搜索。这是系列论文中的第三篇。这些巡天共覆盖了北半球可见的 ∼19,000 平方纬度，z 波段 AB 等级达到 ∼22.5。我们使用了一个深度残差神经网络，该网络是根据已知的透镜系统和高等级候选者以及同一足迹内的非透镜进行训练的。将训练有素的神经网络应用于巡天数据后，我们对概率高于阈值的图像进行目测和排序，阈值的选择是为了平衡精确度和召回率。我们已经发现了 1895 个候选透镜，其中 1512 个是首次发现。将这项工作中的发现与论文 I（335）和论文 II（1210）中的发现相结合，我们在遗留巡天中总共发现了 3057 个新的候选者。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Astrophysical Journal Supplement Series

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