利用卷积神经网络在DES中发现的一个扩展星系-星系强引力透镜目录
星系天体物理
2019-07-31 v1
摘要
我们利用卷积神经网络在暗能量巡天（DES）第三年成像数据中搜索星系-星系强引力透镜，通过新的训练集扩展了先前的工作，并覆盖了更宽的红移和颜色范围。我们使用模拟透镜图像训练两个神经网络，然后用它们对暗能量巡天中基于模拟选定具有合理透镜颜色的790万源的后 stamps 图像进行评分。我们检查了得分最高的1175个候选体，识别出152个可能或确定的透镜。检查另外20000张得分较低的图像，我们进一步识别出247个可能或确定的候选体。在纳入早期使用神经网络搜索发现的86个候选体和通过视觉检查DES目录中蓝近红天体发现的26个候选体后，我们呈现了一个包含511个透镜候选体的目录。
引用
@article{arxiv.1905.10522,
title = {An extended catalog of galaxy-galaxy strong gravitational lenses discovered in DES using convolutional neural networks},
author = {C. Jacobs and T. Collett and K. Glazebrook and E. Buckley-Geer and H. T. Diehl and H. Lin and C. McCarthy and A. K. Qin and C. Odden and M. Caso Escudero and P. Dial and V. J. Yung and S. Gaitsch and A. Pellico and K. A. Lindgren and T. M. C. Abbott and J. Annis and S. Avila and D. Brooks and D. L. Burke and A. Carnero Rosell and M. Carrasco Kind and J. Carretero and L. N. da Costa and J. De Vicente and P. Fosalba and J. Frieman and J. Garcia-Bellido and E. Gaztanaga and D. A. Goldstein and D. Gruen and R. A. Gruendl and J. Gschwend and D. L. Hollowood and K. Honscheid and B. Hoyle and D. J. James and E. Krause and N. Kuropatkin and O. Lahav and M. Lima and M. A. G. Maia and J. L. Marshall and R. Miquel and A. A. Plazas and A. Roodman and E. Sanchez and V. Scarpine and S. Serrano and I. Sevilla-Noarbe and M. Smith and F. Sobreira and E. Suchyta and M. E. C. Swanson and G. Tarle and V. Vikram and A. R. Walker and Y. Zhang},
journal= {arXiv preprint arXiv:1905.10522},
year = {2019}
}
备注
Accepted for publication in ApJ Supplement Series