Observational constraints on early coupled quintessence

  Authors: Lisa W. K. Goh, Joan Bachs-Esteban, Adrià Gómez-Valent, Valeria Pettorino, Javier Rubio Journal: Physical Review D Year: 2023 DOI: https://doi.org/10.1103/PhysRevD.109.023530 Download: ADS |...
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Constraining constant and tomographic coupled dark energy with low-redshift and high-redshift probes

  Authors: Lisa W. K. Goh, Adrià Gómez-Valent, Valeria Pettorino, Martin Kilbinger Journal: Physical Review D Year: 2023 DOI: https://doi.org/10.1103/PhysRevD.107.083503 Download: ADS | arXiv...
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Rethinking data-driven point spread function modeling with a differentiable optical model

  Authors: Tobias Liaudat, Jean-Luc Starck, Martin Kilbinger, Pierre-Antoine Frugier Journal: Inverse Problems Year: 2023 DOI:   Download: ADS | arXiv...
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Deep Learning-based galaxy image deconvolution

  Authors: Utsav Akhaury, Jean-Luc Starck, Pascale Jablonka, Frédéric Courbin, Kevin Michalewicz Journal: A&A Year: 2022 DOI:   Download: ADS | arXiv Abstract With the...
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UNIONS: The impact of systematic errors on weak-lensing peak counts

  Authors: E. Ayçoberry, V. Ajani, A. Guinot, M. Kilbinger, V. Pettorino, S. Farrens, J.-L. Starck, R. Gavazzi, M. Hudson...
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UNIONS: The impact of systematic errors on weak-lensing peak counts

Euclid: The importance of galaxy clustering and weak lensing cross-correlations within the photometric Euclid survey

Euclid: impact of nonlinear prescriptions on cosmological parameter estimation from weak lensing cosmic shear Authors: Tutusaus, I.;Martinelli, M.;Cardone, V. F.;Camera, ...

Euclid: The reduced shear approximation and magnification bias for Stage IV cosmic shear experiments

Euclid: The reduced shear approximation and magnification bias for Stage IV cosmic shear experiments Authors: A.C. Deshpande, ..., S. Casas, ...

Euclid: The selection of quiescent and star-forming galaxies using observed colours

Euclid: The selection of quiescent and star-forming galaxies using observed colours Authors: L. Bisigello, ..., V. Pettorino, S. Pires, F ...

Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments

Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments Authors: Euclid Collaboration, P. Paykari, ..., S. Farrens, M. Kilbinger, ...

Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets

Deep learning is starting to offer promising results for reconstruction in Magnetic Resonance Imaging (MRI). A lot of networks are ...

Constraining neutrino masses with weak-lensing multiscale peak counts

Constraining neutrino masses with weak-lensing multiscale peak counts Massive neutrinos influence the background evolution of the Universe as well as ...

Beyond self-acceleration: force- and fluid-acceleration

The notion of self acceleration has been introduced as a convenient way to theoretically distinguish cosmological models in which acceleration ...

The first Deep Learning reconstruction of dark matter maps from weak lensing observational data

DeepMass: The first Deep Learning reconstruction of dark matter maps from weak lensing observational data (DES SV weak lensing data) ...

Emulators for the nonlinear matter power spectrum beyond ΛCDM

Emulators for the nonlinear matter power spectrum beyond ΛCDM Authors: Winther, Hans A.; Casas, Santiago; Baldi, Marco; Koyama, Kazuya; Li, ...

Euclid preparation. V. Predicted yield of redshift 7 < z < 9 quasars from the wide survey

Euclid preparation: V. Predicted yield of redshift 7 Authors: Euclid Collaboration, R. Barnett, ..., S. Farrens, M. Kilbinger, V. Pettorino, ...