Non-Gaussian information from weak lensing data via deep learning

Gupta, Arushi, Matilla, José Manuel Zorrilla, Hsu, Daniel, Haiman, Zoltán·2018·Physical Review D

Cited by (127)

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  7. A simple equivariant machine learning method for dynamics based on scalars
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  10. Testing the Dark Universe with Cosmic Shear
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  11. Success of Machine Learning algorithms in Dynamical Mass Measurements of Galaxy Clusters
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  12. Insights into cosmological structure formation with machine learning.
    L. Lucie-Smith · 2020
  13. Application of machine learning in cosmology.
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  14. Cosmological inference with cosmic shear
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  15. Extracting cosmological information from small scales in weak gravitational lensing data
    José Manuel Zorrilla Matilla · 2020
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  17. Conditionally Strongly Log-Concave Generative Models
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  18. Deep learning generated observations of galaxy clusters from dark-matter-only simulations
    Andrés Caro, D. de Andres, W. Cui, G. Yepes, M. De Petris, A. Ferragamo, Félicien Schiltz, Am'elie Nef · 2024 · RAS Techniques and Instruments
  19. The first AKRA mass map reconstruction from HSC Y1 data
    Yuan Shi, Pengjie Zhang, Zhao Chen, Jian Qin, Li Cui, Furen Deng, Ji Yao · 2026 · Journal of Cosmology and Astroparticle Physics
  20. Bayesian statistical inference and deep learning for primordial cosmology and cosmic acceleration
    Doogesh Kodi Ramanah · 2019
  21. Non-Gaussian cosmology : theoretical and statistical challenges for modern galaxy surveys
    Matteo Rizzato · 2019
  22. Learning salient information with neural networks for cosmological analysis
    Qiufan Lin · 2021
  23. Field-level weak lensing cosmology with 60 simulations using multifidelity simulation-based inference
    Alex A Saoulis, Kiyam Lin, N Jeffrey, Maximilian von Wietersheim-Kramsta, Davide Piras, A. Spurio Mancini, Ana M. G. Ferreira, Benjamin Joachimi · 2026 · Monthly Notices of the Royal Astronomical Society
  24. Probing cosmology through higher-order CMB lensing statistics
    Shu-Fan Chen, J. Colin Hill, Zoltán Haiman · 2026 · Physical review. D/Physical review. D.
  25. Replicating weak-lensing summary-statistic covariances with normalizing flows
    Anonymous, Leander Thiele, Jia Liu · 2026 · Physical review. D/Physical review. D.
  26. First Application of Weak Lensing Peak Steepness Statistics to HSC Year 1 Data: Effectively Probing Halo Density Profiles
    Ziwei Li, Xiangkun Liu, Tianyu Zhang, An Zhao, Chuzhong Pan, Yuan Shuo, Qiao Wang, Zuhui Fan · 2026 · The Astrophysical Journal
  27. DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications (AICosmo'19 workshop)
    Michaël Defferrard · 2019 · Figshare