博士生导师
李楠 研究员
学科:  引力透镜与星系宇宙学,机器学习在天体物理中的应用
学历: 博士研究生
邮编: 100101
邮箱:
地址: 北京市朝阳区大屯路甲20号
简历
李楠,男,1983年出生,黑龙江肇东人,中国科学院国家天文台研究员,CSST科学数据系统研制项目技术总协调。2013年获得中国科学院大学博士学位。2013年至2017年在芝加哥大学从事博士后研究,2017年至2019年在诺丁汉大学从事博士后研究。于2019年通过人才引进计划入职中科院国家天文台工作至今。2021年获得中科院青年人才项目资助。主要从事星系宇宙学及机器学习在天体物理中的应用方面的研究。研究成果发表于国际知名期刊,包括Apj、MNRAS等,总计30余篇。作为子课题负责人参与国家级项目1项和科技部专项1项。
代表论著
1. Nan Li and Da-Ming Chen. Cusp-core problem and strong gravitational lensing. Research in Astronomy and Astrophysics, 2009, 9(11):1173.
2. Nan Li, Shude Mao, Liang Gao, Abraham Loeb, and R Di Stefano. Effects of supermassive binary black holes on gravitational lenses. Monthly Notices of the Royal Astronomical Society, 2012, 419(3):2424–2432.
3. Nan Li, Michael D Gladders, Esteban M Rangel, Michael K Florian, Lindsey E Bleem, Katrin Heitmann, Salman Habib, and Patricia Fasel. Pics: Simulations of strong gravitational lensing in galaxy clusters. The Astrophysical Journal, 2016, 828(1):54.
4. Nan Li, Michael D Gladders, Katrin Heitmann, Esteban M Rangel, Hillary L Child, Michael K Florian, Lindsey E Bleem, Salman Habib, and Hal J Finkel. The importance of secondary halos for strong lensing in massive galaxy clusters across redshift. The Astrophysical Journal, 2019, 878(2):122.
5. Nan Li, Christoph Becker, and Simon Dye. The impact of line-of-sight structures on measuring h 0 with strong lensing time delays. Monthly Notices of the Royal Astronomical Society, 2021, 504(2):2224–2234.
6. Camille Avestruz, Nan Li, Hanjue Zhu, Matthew Lightman, Thomas E Collett, and Wentao Luo. Automated lensing learner: Automated strong lensing identification with a computer vision technique. The Astrophysical Journal, 2019, 877(1):58.
7. James Pearson, Nan Li, and Simon Dye. The use of convolutional neural networks for modelling large optically-selected strong galaxy-lens samples. Monthly Notices of the Royal Astronomical Society, 2019, 488(1):991–1004.
8. Esteban Rangel, Nan Li, Salman Habib, Tom Peterka, Ankit Agrawal, Wei-Keng Liao, and Alok Choudhary. Parallel dtfe surface density field reconstruction. In 2016 IEEE International Conference on Cluster Computing (CLUSTER), 2016, pages 30–39.IEEE.
9. Michael K Florian, Nan Li, and Michael D Gladders. The gini coefficient as a morphological measurement of strongly lensed galaxies in the image plane. The Astrophysical Journal, 2016, 832(2):168.
10. Ting-Yun Cheng, Nan Li, Christopher J Conselice, Alfonso Aragón-Salamanca, Simon Dye, and Robert B Metcalf. Identifying strong lenses with unsupervised machine learning using convolutional autoencoder. Monthly Notices of the Royal Astronomical Society, 2020, 494(3):3750–3765.
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