The impact of human expert visual inspection on the discovery of strong gravitational lenses
The impact of human expert visual inspection on the discovery of strong gravitational lenses
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DOI：
10.1093/mnras/stad1680
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发表时间：
2023-01
影响因子：
4.8
通讯作者：
K. Rojas;T. Collett;Dan Ballard;M. Magee;S. Birrer;E. Buckley-Geer;J. Chan;Benjamin Cl'ement
中科院分区：
文献类型：
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作者：
K. Rojas;T. Collett;Dan Ballard;M. Magee;S. Birrer;E. Buckley-Geer;J. Chan;Benjamin Cl'ement
我们调查的能力，人类的“专家”分类，以确定强引力透镜候选人在暗能量调查成像。我们总共招募了55人，完成了超过25%的项目。在分类任务中，我们向参与者展示了1489张图像。该示例包含各种数据，包括透镜模拟、真实的透镜、非透镜示例和未标记数据。我们发现，专家们非常善于发现明亮，分辨率良好的爱因斯坦环，而g波段信噪比小于1.25或爱因斯坦半径小于1.2倍的弧很少被恢复。很少有非镜片的镜片得分很高。个体分类器的性能有很大的差异，但它们似乎并不取决于分类器的经验，信心或学术地位。这些变化可以通过6个或更多独立分类器的团队来减轻。我们的研究结果使我们相信人类是透镜候选者的可靠修剪步骤，为后续研究提供了纯净和可定量的完整样本。
We investigate the ability of human ‘expert’ classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that completed more than 25 per cent of the project. During the classification task, we present to the participants 1489 images. The sample contains a variety of data including lens simulations, real lenses, non-lens examples, and unlabelled data. We find that experts are extremely good at finding bright, well-resolved Einstein rings, while arcs with g-band signal to noise less than ∼25 or Einstein radii less than ∼1.2 times the seeing are rarely recovered. Very few non-lenses are scored highly. There is substantial variation in the performance of individual classifiers, but they do not appear to depend on the classifier’s experience, confidence or academic position. These variations can be mitigated with a team of 6 or more independent classifiers. Our results give confidence that humans are a reliable pruning step for lens candidates, providing pure and quantifiably complete samples for follow-up studies.