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 …
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 …
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
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 …
(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
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 …
data as a function of the unknown parameters) is unknown or intractable. This necessitates …
Weak lensing scattering transform: dark energy and neutrino mass sensitivity
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 …
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 …
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 …
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 …
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
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 …
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 …
and galaxy evolution. In this study, by using the state-of-the-art deep learning technique, a …