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Galaxy clustering analysis with SimBIG and the wavelet scattering transform
Bruno Régaldo-Saint Blancard, ChangHoon Hahn, Shirley Ho, Jiamin Hou, Pablo Lemos, Elena Massara, Chirag Modi, Azadeh Moradinezhad Dizgah, Liam Parker, Yuling Yao and Michael Eickenberg Physical Review D 109(8) (2024) https://doi.org/10.1103/PhysRevD.109.083535
Separation of dust emission from the cosmic infrared background in Herschel observations with wavelet phase harmonics
Constant Auclair, Erwan Allys, François Boulanger, Matthieu Béthermin, Athanasia Gkogkou, Guilaine Lagache, Antoine Marchal, Marc-Antoine Miville-Deschênes, Bruno Régaldo-Saint Blancard and Pablo Richard Astronomy & Astrophysics 681 A1 (2024) https://doi.org/10.1051/0004-6361/202346814
Precise cosmological constraints from BOSS galaxy clustering with a simulation-based emulator of the wavelet scattering transform
Constraining cosmological parameters with needlet internal linear combination maps. II. Likelihood-free inference on needlet internal linear combination power spectra
Generative models of astrophysical fields with scattering transforms on the sphere
L. Mousset, E. Allys, M. A. Price, J. Aumont, J.-M. Delouis, L. Montier and J. D. McEwen Astronomy & Astrophysics 691 A269 (2024) https://doi.org/10.1051/0004-6361/202451396
Towards unveiling the large-scale nature of gravity with the wavelet scattering transform
Georgios Valogiannis, Francisco Villaescusa-Navarro and Marco Baldi Journal of Cosmology and Astroparticle Physics 2024(11) 061 (2024) https://doi.org/10.1088/1475-7516/2024/11/061
Generative Models of Multichannel Data from a Single Example—Application to Dust Emission
Bruno Régaldo-Saint Blancard, Erwan Allys, Constant Auclair, François Boulanger, Michael Eickenberg, François Levrier, Léo Vacher and Sixin Zhang The Astrophysical Journal 943(1) 9 (2023) https://doi.org/10.3847/1538-4357/aca538
Detecting the non-Gaussianity of the 21-cm signal during reionization with the wavelet scattering transform
Bradley Greig, Yuan-Sen Ting and Alexander A Kaurov Monthly Notices of the Royal Astronomical Society 519(4) 5288 (2023) https://doi.org/10.1093/mnras/stac3822
Deep learning denoising by dimension reduction: Application to the ORION-B line cubes
Lucas Einig, Jérôme Pety, Antoine Roueff, Paul Vandame, Jocelyn Chanussot, Maryvonne Gerin, Jan H. Orkisz, Pierre Palud, Miriam G. Santa-Maria, Victor de Souza Magalhaes, Ivana Bešlić, Sébastien Bardeau, Emeric Bron, Pierre Chainais, Javier R. Goicoechea, Pierre Gratier, Viviana V. Guzmán, Annie Hughes, Jouni Kainulainen, David Languignon, Rosine Lallement, François Levrier, Dariusz C. Lis, Harvey S. Liszt, Jacques Le Bourlot, et al. Astronomy & Astrophysics 677 A158 (2023) https://doi.org/10.1051/0004-6361/202346064
Quantification of High-dimensional Non-Gaussianities and Its Implication to Fisher Analysis in Cosmology
Core Francisco Park, Erwan Allys, Francisco Villaescusa-Navarro and Douglas Finkbeiner The Astrophysical Journal 946(2) 107 (2023) https://doi.org/10.3847/1538-4357/acbe3b
Probing the Cold Neutral Medium through H I Emission Morphology with the Scattering Transform
Impact of Galactic dust non-Gaussianity on searches for B-modes from inflation
Irene Abril-Cabezas, Carlos Hervías-Caimapo, Sebastian von Hausegger, Blake D Sherwin and David Alonso Monthly Notices of the Royal Astronomical Society 527(3) 5751 (2023) https://doi.org/10.1093/mnras/stad3529
Probing cosmic inflation with the LiteBIRD cosmic microwave background polarization survey
E Allys, K Arnold, J Aumont, R Aurlien, S Azzoni, C Baccigalupi, A J Banday, R Banerji, R B Barreiro, N Bartolo, L Bautista, D Beck, S Beckman, M Bersanelli, F Boulanger, M Brilenkov, M Bucher, E Calabrese, P Campeti, A Carones, F J Casas, A Catalano, V Chan, K Cheung, Y Chinone, et al. Progress of Theoretical and Experimental Physics 2023(4) (2023) https://doi.org/10.1093/ptep/ptac150
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms
Andrew K. Saydjari and Douglas P. Finkbeiner IEEE Transactions on Pattern Analysis and Machine Intelligence 45(2) 1716 (2023) https://doi.org/10.1109/TPAMI.2022.3165730
Quantifying Roman WFI Dark Images with the Wavelet Scattering Transform
Phani Datta Velicheti, John F. Wu and Andreea Petric Publications of the Astronomical Society of the Pacific 135(1050) 084502 (2023) https://doi.org/10.1088/1538-3873/acf073
The Simons Observatory: Galactic Science Goals and Forecasts
Brandon S. Hensley, Susan E. Clark, Valentina Fanfani, Nicoletta Krachmalnicoff, Giulio Fabbian, Davide Poletti, Giuseppe Puglisi, Gabriele Coppi, Jacob Nibauer, Roman Gerasimov, Nicholas Galitzki, Steve K. Choi, Peter C. Ashton, Carlo Baccigalupi, Eric Baxter, Blakesley Burkhart, Erminia Calabrese, Jens Chluba, Josquin Errard, Andrei V. Frolov, Carlos Hervías-Caimapo, Kevin M. Huffenberger, Bradley R. Johnson, Baptiste Jost, Brian Keating, et al. The Astrophysical Journal 929(2) 166 (2022) https://doi.org/10.3847/1538-4357/ac5e36
Non-Gaussian modelling and statistical denoising of Planck dust polarisation full-sky maps using scattering transforms
Exploring the cosmic 21-cm signal from the epoch of reionization using the wavelet scattering transform
Bradley Greig, Yuan-Sen Ting and Alexander A Kaurov Monthly Notices of the Royal Astronomical Society 513(2) 1719 (2022) https://doi.org/10.1093/mnras/stac977
Towards an optimal estimation of cosmological parameters with the wavelet scattering transform
Classification of Magnetohydrodynamic Simulations Using Wavelet Scattering Transforms
Andrew K. Saydjari, Stephen K. N. Portillo, Zachary Slepian, Sule Kahraman, Blakesley Burkhart and Douglas P. Finkbeiner The Astrophysical Journal 910(2) 122 (2021) https://doi.org/10.3847/1538-4357/abe46d
Weak lensing scattering transform: dark energy and neutrino mass sensitivity
Single frequency CMB B-mode inference with realistic foregrounds from a single training image
Niall Jeffrey, François Boulanger, Benjamin D Wandelt, Bruno Regaldo-Saint Blancard, Erwan Allys and François Levrier Monthly Notices of the Royal Astronomical Society: Letters 510(1) L1 (2021) https://doi.org/10.1093/mnrasl/slab120
A new approach for the statistical denoising of Planck interstellar dust polarization data
Bruno Regaldo-Saint Blancard, Erwan Allys, François Boulanger, François Levrier and Niall Jeffrey Astronomy & Astrophysics 649 L18 (2021) https://doi.org/10.1051/0004-6361/202140503