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探索宇宙的第二窗口[color=rgba(0, 0, 0, 0.3)]
[color=rgba(0, 0, 0, 0.3)]紫台 × 原理 [color=rgba(0, 0, 0, 0.3)]5 days ago
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文稿：紫金山天文台图片设计：原理参考来源： A. M. Turing, “Computing Machinery and Intelligence,” Mind, Vol. 49, pp. 433-460, 1950Yashar D. Hezaveh, et al. (Stanford), “Fast automated analysis of strong gravitational lenses with convolutional neural networks”, Nature, Vol 538， Aug. 2018Yunfan Gerry Zhang, et al. （UCB）, “Fast Radio Burst 121102 Pulse Detection and Periodicity: A Machine Learning Approach”, The Astronomical Journal, 866:149, May, 2019Zhang S , Yang J , Xu Y , et al. “Searching for Molecular Outflows with Support Vector Machines: Dark Cloud Complex in Cygnus”, The Astrophysical Journal Supplement Series, 248(1):15, 2020Y.L. Zhang, Y. Ren, W. Miao, Z.H. Lin, H. Gao, S.C. Shi, “Microwave SAIR Imaging Approach Based on Deep Convolutional Neural Network,” IEEE Trans. Geosci. Remote Sens., 2019, vol. 57, no. 12, pp. 10376-10389.
图片来源：银河系（Mellinger, A., Milky Way Panorama）电磁波谱（STScIJHUNASA）SKA射电望远镜（skatelescope.org）类星体ULAS J1120+0641（M. Kornmesser/ESO）宇宙微波背景辐射（COBE/NASA）脉冲星（Roy Smits/Wikipedia Commons）RCW 34（ESO）诺贝尔奖章（nobelprize.org）黑洞Powehi照片（EHT Collaboration）第一批恒星（N. R. Fuller/National Science Foundation）NGC 6357（ESO）合成DNA分子（Indiana University School of Medicine）NGC 4217周围的宇宙磁场（Very Large Array）星系的形成和演化（L. Calçada/ESO）恒星、行星的形成和演化（Bill Saxton, NRAO/AUI/NSF）人工智能（ Pixabay & Wikipedia Commons）快速射电暴（Andrew Howells/CSIRO; Swinburne University of Technology）引力透镜（HST/NASA; LRG 3-757、SDSS J1050+0017、SDSS J1038+4849、Abell 1689/HST/ESA & NASA）SKA低频孔径阵列（ skatelescope.org）地球（Google Earth）
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发表于 2020-8-6 23:51
