Related references
Note: Only part of the references are listed.Classification of Magnetohydrodynamic Simulations Using Wavelet Scattering Transforms
Andrew K. Saydjari et al.
ASTROPHYSICAL JOURNAL (2021)
ForSE: A GAN-based Algorithm for Extending CMB Foreground Models to Subdegree Angular Scales
Nicoletta Krachmalnicoff et al.
ASTROPHYSICAL JOURNAL (2021)
A generative model of galactic dust emission using variational autoencoders
Ben Thorne et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2021)
Maximum entropy models from phase harmonic covariances
Sixin Zhang et al.
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS (2021)
Cleaning our own dust: simulating and separating galactic dust foregrounds with neural networks
K. Aylor et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2021)
Planck 2018 results: III. High Frequency Instrument data processing and frequency maps
N. Aghanim et al.
ASTRONOMY & ASTROPHYSICS (2020)
Planck 2018 results: XII. Galactic astrophysics using polarized dust emission
N. Aghanim et al.
ASTRONOMY & ASTROPHYSICS (2020)
Planck 2018 results: IV. Diffuse component separation
Y. Akrami et al.
ASTRONOMY & ASTROPHYSICS (2020)
Modeling the magnetized Local Bubble from dust data
V. Pelgrims et al.
ASTRONOMY & ASTROPHYSICS (2020)
Impact of polarized galactic foreground emission on CMB lensing reconstruction and delensing of B-modes
Dominic Beck et al.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2020)
Statistical description of dust polarized emission from the diffuse interstellar medium: A RWST approach
B. Regaldo-Saint Blancard et al.
ASTRONOMY & ASTROPHYSICS (2020)
Planck 2018 results: XI. Polarized dust foregrounds
Y. Akrami et al.
ASTRONOMY & ASTROPHYSICS (2020)
A new approach to observational cosmology using the scattering transform
Sihao Cheng et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2020)
Phase harmonic correlations and convolutional neural networks
Stephane Mallat et al.
INFORMATION AND INFERENCE-A JOURNAL OF THE IMA (2020)
New interpretable statistics for large-scale structure analysis and generation
E. Allys et al.
PHYSICAL REVIEW D (2020)
Full-sky Cosmic Microwave Background Foreground Cleaning Using Machine Learning
Matthew A. Petroff et al.
ASTROPHYSICAL JOURNAL (2020)
The RWST, a comprehensive statistical description of the non-Gaussian structures in the ISM
E. Allys et al.
ASTRONOMY & ASTROPHYSICS (2019)
Wiener filtering and pure ε/B decomposition of CMB maps with anisotropic correlated noise
Doogesh Kodi Ramanah et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2019)
Mapping the Magnetic Interstellar Medium in Three Dimensions over the Full Sky with Neutral Hydrogen
S. E. Clark et al.
ASTROPHYSICAL JOURNAL (2019)
Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: application to DES SV
N. Jeffrey et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2018)
Fast sampling from Wiener posteriors for image data with dataflow engines
N. Jeffrey et al.
ASTRONOMY AND COMPUTING (2018)
Mitigating Complex Dust Foregrounds in Future Cosmic Microwave Background Polarization Experiments
Brandon S. Hensley et al.
ASTROPHYSICAL JOURNAL (2018)
Cosmological parameters, shear maps and power spectra from CFHTLenS using Bayesian hierarchical inference
Justin Alsing et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2017)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
Planck intermediate results XLVIII. Disentangling Galactic dust emission and cosmic infrared background anisotropies
N. Aghanim et al.
ASTRONOMY & ASTROPHYSICS (2016)
Planck intermediate results XLVIII. Disentangling Galactic dust emission and cosmic infrared background anisotropies
N. Aghanim et al.
ASTRONOMY & ASTROPHYSICS (2016)
Joint Analysis of BICEP2/Keck Array and Planck Data
P. A. R. Ade et al.
PHYSICAL REVIEW LETTERS (2015)
Matrix-free large-scale Bayesian inference in cosmology
Jens Jasche et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2015)
Efficient Wiener filtering without preconditioning
F. Elsner et al.
ASTRONOMY & ASTROPHYSICS (2013)
Image Denoising Methods. A New Nonlocal Principle
A. Buades et al.
SIAM REVIEW (2010)
Intermittency of interstellar turbulence: parsec-scale coherent structure of intense, velocity shear
P. Hily-Blant et al.
ASTRONOMY & ASTROPHYSICS (2009)
DENSITY STUDIES OF MHD INTERSTELLAR TURBULENCE: STATISTICAL MOMENTS, CORRELATIONS AND BISPECTRUM
Blakesley Burkhart et al.
ASTROPHYSICAL JOURNAL (2009)
Dissipative structures of diffuse molecular gas - III. Small-scale intermittency of intense velocity-shears
P. Hily-Blant et al.
ASTRONOMY & ASTROPHYSICS (2008)
Image denoising by sparse 3-D transform-domain collaborative filtering
Kostadin Dabov et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2007)
HEALPix:: A framework for high-resolution discretization and fast analysis of data distributed on the sphere
KM Górski et al.
ASTROPHYSICAL JOURNAL (2005)
Global, exact cosmic microwave background data analysis using Gibbs sampling
BD Wandelt et al.
PHYSICAL REVIEW D (2004)