The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys

F Lanusse - Publications of the Astronomical Society of Australia, 2023 - cambridge.org
The amount and complexity of data delivered by modern galaxy surveys has been steadily
increasing over the past years. New facilities will soon provide imaging and spectra of …

Machine learning for observational cosmology

K Moriwaki, T Nishimichi… - Reports on Progress in …, 2023 - iopscience.iop.org
An array of large observational programs using ground-based and space-borne telescopes
is planned in the next decade. The forthcoming wide-field sky surveys are expected to …

Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction

N Jeffrey, M Gatti, C Chang, L Whiteway… - Monthly Notices of …, 2021 - academic.oup.com
We present reconstructed convergence maps, mass maps, from the Dark Energy Survey
(DES) third year (Y3) weak gravitational lensing data set. The mass maps are weighted …

Likelihood-free inference with neural compression of DES SV weak lensing map statistics

N Jeffrey, J Alsing, F Lanusse - Monthly Notices of the Royal …, 2021 - academic.oup.com
In many cosmological inference problems, the likelihood (the probability of the observed
data as a function of the unknown parameters) is unknown or intractable. This necessitates …

Weak lensing scattering transform: dark energy and neutrino mass sensitivity

S Cheng, B Ménard - Monthly Notices of the Royal Astronomical …, 2021 - academic.oup.com
As weak lensing surveys become deeper, they reveal more non-Gaussian aspects of the
convergence field which can only be extracted using statistics beyond the power spectrum …

A roadmap to cosmological parameter analysis with third-order shear statistics-I. Modelling and validation

S Heydenreich, L Linke, P Burger… - Astronomy & …, 2023 - aanda.org
In this work, which is the first of a series to prepare a cosmological parameter analysis with
third-order cosmic shear statistics, we model both the shear three-point correlation functions …

Beyond the 3rd moment: a practical study of using lensing convergence CDFs for cosmology with DES Y3

D Anbajagane, C Chang, A Banerjee… - Monthly Notices of …, 2023 - academic.oup.com
Widefield surveys probe clustered scalar fields–such as galaxy counts, lensing potential, etc.–
which are sensitive to different cosmological and astrophysical processes. Constraining …

[HTML][HTML] Analysis on block chain financial transaction under artificial neural network of deep learning

W Gao, C Su - Journal of Computational and Applied Mathematics, 2020 - Elsevier
In order to conduct an in-depth study on financial transactions of block chain, the classical
back propagation (BP) neural network based on the artificial neural network (ANN) model is …

Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps–validation on simulations

M Gatti, C Chang, O Friedrich, B Jain… - Monthly Notices of …, 2020 - academic.oup.com
We present a simulated cosmology analysis using the second and third moments of the
weak lensing mass (convergence) maps. The second moment, or variances, of the …

AI-assisted reconstruction of cosmic velocity field from redshift-space spatial distribution of haloes

Z Wu, L Xiao, X Xiao, J Wang, X Kang… - Monthly Notices of …, 2023 - academic.oup.com
The peculiar velocities of dark matter haloes are crucial to study many issues in cosmology
and galaxy evolution. In this study, by using the state-of-the-art deep learning technique, a …