FB
F. Bernardeau
astro-ph.COastro-phgr-qcastro-ph.GAhep-phastro-ph.IMcond-mat.stat-mechhep-thphysics.flu-dynphysics.data-an
On Valency
published · living versionsW_554m5x6y·v1 · currentpublished
Beyond Kaiser bias: mildly non-linear two-point statistics of densities in distant spheres
with C. Uhlemann, S. Codis, J. Kim, C. Pichon +3
1 version
Preprints & journals
156 papers in the corpus · 1993–2026Euclid preparation. CII. Non-Gaussianity of 2-pt statistics likelihood: Parameter inference with a non-Gaussian likelihood in Fourier and configuration space2604.01309v2 · S. Gouyou Beauchamps, J. Bel, P. Baratta et al.2026 · 0 citationsarXiv
Lensing without mixing: Probing baryonic acoustic oscillations and other scale-dependent features in cosmic shear surveys2601.19696v4 · David Touzeau, Alexandre Barthelemy, Francis Bernardeau2026 · 0 citationsPhys. Rev. D 114, 043539, Published 21 August, 2026
Euclid preparation. Calibrated intrinsic galaxy alignments in the Euclid Flagship simulation2601.07785v1 · K. Hoffmann, R. Paviot, B. Joachimi et al.2026 · 0 citationsarXiv
Mitigating Nonlinear Systematics in Weak Lensing Surveys II: Stability and Diagnostics with Intrinsic Alignment2511.09544v2 · Shiming Gu, Ludovic van Waerbeke, Francis Bernardeau et al.2025 · 3 citationsarXiv
Euclid preparation. LXXXV. Toward a DR1 application of higher-order weak lensing statistics2510.04953v2 · S. Vinciguerra, F. Bouche, N. Martinet et al.2025 · 0 citationsarXiv
Euclid: Forecasts on CDM consistency tests with growth rate data2507.22780v1 · I. Ocampo, D. Sapone, S. Nesseris et al.2025 · 0 citationsarXiv
Euclid preparation. Simulating thousands of Euclid spectroscopic skies2507.12116v3 · P. Monaco, G. Parimbelli, M. Y. Elkhashab et al.2025 · 7 citationsA&A 704, A306 (2025)
Euclid Quick Data Release (Q1): VIS processing and data products2503.15303v2 · H. J. McCracken, K. Benson, C. Dolding et al.2025 · 0 citationsarXiv
Euclid Quick Data Release (Q1), A first look at the fraction of bars in massive galaxies at 2503.15311v1 · M. Huertas-Company, M. Walmsley, M. Siudek et al.2025 · 2 citationsarXiv
Euclid Quick Data Release (Q1): The Strong Lensing Discovery Engine A -- System overview and lens catalogue2503.15324v1 · M. Walmsley, P. Holloway, N. E. P. Lines et al.2025 · 9 citationsarXiv
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine C: Finding lenses with machine learning2503.15326v2 · N. E. P. Lines, T. E. Collett, M. Walmsley et al.2025 · 14 citationsarXiv
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine D -- Double-source-plane lens candidates2503.15327v1 · T. Li, T. E. Collett, M. Walmsley et al.2025 · 5 citationsarXiv
Euclid Quick Data Release (Q1). The role of cosmic connectivity in shaping galaxy clusters2503.15332v2 · C. Gouin, C. Laigle, F. Sarron et al.2025 · 1 citationarXiv
Euclid Quick Data Release (Q1). Galaxy shapes and alignments in the cosmic web2503.15333v1 · C. Laigle, C. Gouin, F. Sarron et al.2025 · 0 citationsarXiv
The Topology of Rayleigh-Levy Flights in Two Dimensions2503.07244v2 · Reginald Christian Bernardo, Stephen Appleby, Francis Bernardeau et al.2025 · 0 citationsA&A 705, A18 (2026)
Novel geometrical test of cosmological expansion from photometric data2502.02243v5 · David Touzeau, Francis Bernardeau, Karim Benabed et al.2025 · 0 citationsA&A 714 (October 2026) L17
Cosmic shear nulling as a geometrical cosmological probe: Methodology and sensitivity to cosmological parameters and systematics2502.02246v3 · David Touzeau, Francis Bernardeau, Karim Benabed et al.2025 · 2 citationsPhys. Rev. D 113, 123519, Published 10 June, 2026
Mitigating Nonlinear Systematics in Weak Lensing Surveys: The Bernardeau-Nishimichi-Taruya Approach2412.14704v2 · Shiming Gu, Ludovic van Waerbeke, Francis Bernardeau et al.2024 · 5 citationsPhys. Rev. D 111, 083530, 2025
Euclid preparation: 6x2 pt analysis of Euclid's spectroscopic and photometric data sets2409.18882v1 · L. Paganin, M. Bonici, C. Carbone et al.2024 · 0 citationsarXiv
Euclid preparation LXXI. Simulations and nonlinearities beyond CDM. 3. Constraints on models from the photometric primary probes2409.03524v2 · K. Koyama, S. Pamuk, S. Casas et al.2024 · 8 citationsA&A 698, A233 (2025)
Euclid preparation: Determining the weak lensing mass accuracy and precision for galaxy clusters2409.02783v2 · L. Ingoglia, M. Sereno, S. Farrens et al.2024 · 7 citationsA&A 695, A280 (2025)
Euclid preparation. LIX. Angular power spectra from discrete observations2408.16903v2 · N. Tessore, B. Joachimi, A. Loureiro et al.2024 · 0 citationsA&A 694, A141 (2025)
Euclid. I. Overview of the Euclid mission2405.13491v2 · Y. Mellier, Abdurro'uf, J. A. Acevedo Barroso et al.2024 · 622 citationsA&A 697, A1 (2025)
Euclid. V. The Flagship galaxy mock catalogue: a comprehensive simulation for the Euclid mission2405.13495v1 · F. J. Castander, P. Fosalba, J. Stadel et al.2024 · 66 citationsA&A 697, A5 (2025)
Euclid preparation. Sensitivity to neutrino parameters2405.06047v1 · M. Archidiacono, J. Lesgourgues, S. Casas et al.2024 · 37 citationsA&A 693, A58 (2025)
The statistics of Rayleigh-Levy flight extrema2402.15915v1 · Francis Bernardeau, Christophe Pichon2024 · 2 citationsarXiv
Euclid preparation: XLVIII. The pre-launch Science Ground Segment simulation framework2401.01452v2 · S. Serrano, P. Hudelot, G. Seidel et al.2024 · 0 citationsA&A 690, A103 (2024)
Euclid preparation. XLI. Galaxy power spectrum modelling in real space2312.00679v2 · A. Pezzotta, C. Moretti, M. Zennaro et al.2023 · 2 citationsA&A 687, A216 (2024)
Euclid preparation. Modelling spectroscopic clustering on mildly nonlinear scales in beyond-CDM models2311.13529v3 · B. Bose, P. Carrilho, M. Marinucci et al.2023 · 15 citationsA&A 689, A275 (2024)
Euclid preparation. LII. Forecast impact of super-sample covariance on 3x2pt analysis with Euclid2310.15731v2 · D. Sciotti, S. Gouyou Beauchamps, V. F. Cardone et al.2023 · 13 citationsA&A 691, A318 (2024)
Euclid preparation. XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear2309.00052v3 · K.Tanidis, V.F.Cardone, M.Martinelli et al.2023 · 11 citationsarXiv
Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events2307.08736v2 · L. Leuzzi, M. Meneghetti, G. Angora et al.2023 · 0 citationsAstronomy & Astrophysics,2024, 681, A68
Perturbation theory challenge for cosmological parameters estimation II.: Matter power spectrum in redshift space2305.01584v3 · Ken Osato, Takahiro Nishimichi, Atsushi Taruya et al.2023 · 2 citationsPhys. Rev. D 108, 123541 (2023)
Euclid preparation. XXX. Performance assessment of the NISP Red-Grism through spectroscopic simulations for the Wide and Deep surveys2302.09372v3 · L. Gabarra, C. Mancini, L. Rodriguez Munoz et al.2023 · 2 citationsAstronomy and Astrophysics (2023)
Euclid preparation: XXVIII. Modelling of the weak lensing angular power spectrum2302.04507v1 · A. C. Deshpande, T. Kitching, A. Hall et al.2023 · 2 citationsarXiv
Euclid preparation. XXXII. Evaluating the weak lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations2302.00687v2 · C. Giocoli, M. Meneghetti, E. Rasia et al.2023 · 33 citationsA&A 681, A67 (2024)
Euclid Preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics2301.12890v2 · V. Ajani, M. Baldi, A. Barthelemy et al.2023 · 61 citationsA&A 675, A120 (2023)
Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters2211.12965v1 · A. Fumagalli, A. Saro, S. Borgani et al.2022 · 3 citationsarXiv
It takes two to know one: Computing accurate one-point PDF covariances from effective two-point PDF models2210.07819v2 · Cora Uhlemann, Oliver Friedrich, Aoife Boyle et al.2022 · 21 citationsThe Open Journal of Astrophysics, Vol. 6, 2023
Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies2209.12906v1 · E. Merlin, M. Castellano, H. Bretonniere et al.2022 · 26 citationsA&A 671, A101 (2023)
Euclid preparation XXVI. The Euclid Morphology Challenge. Towards structural parameters for billions of galaxies2209.12907v2 · H.Bretonniere, U.Kuchner, M.Huertas-Company et al.2022 · 28 citationsA&A 671, A102 (2023)
Euclid preparation. XXIV. Calibration of the halo mass function in CDM cosmologies2208.02174v2 · T. Castro, A. Fumagalli, R. E. Angulo et al.2022 · 44 citationsA&A 671, A100 (2023)
Covariances of density probability distribution functions. Lessons from hierarchical models2207.02500v1 · Francis Bernardeau2022 · 5 citationsA&A 663, A124 (2022)
Euclid preparation: XVIII. Cosmic Dawn Survey. Spitzer observations of the Euclid deep fields and calibration fields2110.13928v1 · Andrea Moneti, H.J. McCracken, M. Shuntov et al.2021 · 1 citationA&A 658, A126 (2022)
Euclid preparation: XIX. Impact of magnification on photometric galaxy clustering2110.05435v2 · F. Lepori, I. Tutusaus, C. Viglione et al.2021 · 51 citationsA&A 662, A93 (2022)
Implementing spectra response function approaches for fast calculation of power spectra and bispectra2107.04275v2 · Ken Osato, Takahiro Nishimichi, Atsushi Taruya et al.2021 · 6 citationsPhys. Rev. D 104, 103501 (2021)
Numerical complexity of the joint nulled weak-lensing probability distribution function2106.11632v2 · Alexandre Barthelemy, Francis Bernardeau, Sandrine Codis et al.2021 · 6 citationsarXiv
Nuw CDM cosmology from the weak lensing convergence PDF2012.07771v2 · Aoife Boyle, Cora Uhlemann, Oliver Friedrich et al.2020 · 64 citationsMNRAS 505 (2021) 2886
Euclid: Forecasts for -cut Point Statistics2012.04672v2 · P.L. Taylor, T. Kitching, V.F. Cardone et al.2020 · 0 citationsarXiv
Probability distribution function of the aperture mass field with large deviation theory2012.03831v2 · Alexandre Barthelemy, Sandrine Codis, Francis Bernardeau2020 · 25 citationsarXiv
Career total: 421 works. 156 are in this corpus.Showing the 50 most recent.
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