PF
P. Fosalba
astro-ph.COastro-ph.GAastro-ph.IMastro-phastro-ph.HEgr-qcastro-ph.SRhep-phastro-ph.EPcs.LG
On Valency
published · living versionsW_4egn3j25·v1 · currentpublished
How Many Kilonovae Can Be Found in Past, Present, and Future Survey Datasets?
with D. Scolnic, R. Kessler, D. Brout, P. S. Cowperthwaite +81
1 version
W_6gyhc5ze·v1published
W_t5ggqn9c·v1published
W_594umn73·v1published
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W_yemgptrb·v1published
W_p57vdecf·v1published
W_9vejdpfy·v1published
W_2zyqujkb·v1published
W_caq2h6g4·v1published
Preprints & journals
501 papers in the corpus · 1997–2026Euclid Quick Data Release (Q1). Data processing for intracluster light measurements2610.29682v1 · S. P. Bamford, H. Gao, N. A. Hatch et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q1). A systematic study of the intracluster light fraction at 0.2 < z < 1.52610.29684v1 · H. Gully, N. A. Hatch, H. Gao et al.2026 · 0 citationsarXivon Valency
Euclid Bypass end-to-end simulations for spectroscopic galaxy clustering performance assessment2610.26990v1 · B. R. Granett, S. de la Torre, M. Moresco et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q1). Exploring the complexity of quenching processes across time, environment, and mass through recently quenched galaxies2610.08999v1 · Z. Mao, L. Pozzetti, A. Enia et al.2026 · 0 citationsarXiv
Euclid: Quick Data Release (Q1) -- Optical hotspots in powerful radio galaxies2609.21930v1 · M. J. Hardcastle, L. Bisigello, M. Bondi et al.2026 · 0 citationsarXiv
Euclid: Galaxy cluster detection through the weak lensing effect - algorithm assessment and selection2609.20571v1 · A. Manj'on-Garc'ia, G. Leroy, S. Pires et al.2026 · 0 citationsarXiv
Euclid: Quick Data Release (Q1) -- Exploring the detailed visual morphology of galaxies in clusters2609.08962v1 · P. Mas-Buitrago, S. Kruk, D. O'Ryan et al.2026 · 0 citationsarXiv
Euclid preparation. The shape of halo profiles in CDM and non-standard cosmologies2609.04192v1 · L. Pizzuti, G. Y. Ferron, A. Ragagnin et al.2026 · 0 citationsarXiv
Euclid: Inferring star-formation history via cross-correlations of photometric clustering and shear with the cosmic infrared background2607.19290v1 · J. Han, S. Camera, M. Migliaccio et al.2026 · 0 citationsarXiv
Euclid: Measuring the intrinsic alignment of galaxies around cosmic voids in the \Euclid Flagship simulation\2607.03312v1 · P. Vielzeuf, M.-C. Cousinou, A. Pisani et al.2026 · 0 citationsarXiv
Euclid: A UV-faint quasar in a highly luminous star-forming host galaxy at 2607.03430v1 · S. Belladitta, R. Decarli, E. Banados et al.2026 · 0 citationsarXiv
The PAU Survey and Euclid: Analysing photometric redshifts from realistically simulated narrow-band photometry with Flagship 22606.25812v1 · A. Wittje, H. Hildebrandt, D. Navarro-Giron'es et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q1): The geometry of dark matter halos from extragalactic streams2606.21774v1 · N. Starkman, J. Nibauer, S. Pearson et al.2026 · 1 citationarXiv
Euclid: Quick Data Release (Q1) -- LensMC shear measurement catalogue for cluster lensing science2606.20829v1 · G. Congedo, M. Sereno, H. Miyatake et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q1): The impact of AGN emission on SED-derived physical properties2606.07750v1 · B. Laloux, A. Bongiorno, M. Salvato et al.2026 · 0 citationsarXiv
Euclid preparation. Probing galaxy evolution within cosmic voids in Euclid-like simulations2605.30440v1 · G. Papini, O. Cucciati, M. Bolzonella et al.2026 · 0 citationsarXiv
Constraints on Dynamical Dark Energy from Multiple Probes in the Full Dark Energy Survey2605.27221v2 · T. M. C. Abbott, M. Adamow, M. Aguena et al.2026 · 0 citationsarXiv
Euclid preparation: Testing multi-field inflation with galaxy power spectrum and bispectrum2605.21436v1 · D. Linde, A. Moradinezhad Dizgah, G. Parimbelli et al.2026 · 0 citationsarXiv
\textit{Euclid} preparation. Baryon acoustic oscillations extraction techniques: comparison and optimisation2605.03446v1 · E. Sarpa, A. Veropalumbo, M. Bonici et al.2026 · 0 citationsarXiv
Euclid preparation. CosmoPostProcess: A simulation calibrated framework for weak lensing selection bias in richness-selected galaxy clusters2605.02723v2 · R. Ingrao, M. Costanzi, T. Castro et al.2026 · 0 citationsarXiv
Euclid preparation. Three-dimensional galaxy clustering in configuration space: Three-point correlation function estimation2605.03012v1 · A. Veropalumbo, M. Moresco, F. Marulli et al.2026 · 0 citationsarXiv
Euclid preparation. Refining input galaxy shape distributions for shear calibration simulations2604.26684v1 · H. Jansen, N. Martinet, S. Grandis et al.2026 · 0 citationsarXiv
Euclid preparation. Testing template-fitting models for the multipoles of the two-point clustering of galaxy clusters2604.25762v2 · E. Tsaprazi, A. Fumagalli, F. Marulli et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems2604.21977v1 · S. H. Vincken, K. Rojas, M. Melchior et al.2026 · 0 citationsarXiv
Euclid. Populating a dark universe with galaxies using SciPIC2604.14802v2 · E. J. Gonzalez, J. Carretero, Z. Baghkhani et al.2026 · 1 citationarXiv
Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification2604.06648v1 · X. Xu, R. Chen, T. Li et al.2026 · 1 citationarXiv
Euclid preparation. Impact of redshift distribution uncertainties on the joint analysis of photometric galaxy clustering and weak gravitational lensing2604.00805v1 · K. A. Bertmann, A. Porredon, V. Duret et al.2026 · 0 citationsarXiv
Euclid 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
Euclid preparation. Galaxy power spectrum and bispectrum modelling2603.27966v2 · K. Pardede, A. Eggemeier, D. Alkhanishvili et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine F -- Bright and low-redshift strong lenses2603.28580v1 · L. R. Ecker, M. Fabricius, S. Seitz et al.2026 · 1 citationarXiv
Euclid preparation. XCV. Cosmology Likelihood for Observables in Euclid (CLOE). 2. Code implementation2603.22475v2 · S. Joudaki, V. Pettorino, L. Blot et al.2026 · 5 citationsarXiv
Euclid preparation. Simulated galaxy catalogues for non-standard cosmological models2603.13148v1 · M.-A. Breton, P. Fosalba, S. Avila et al.2026 · 1 citationarXiv
Euclid: The linear-construction covariance and cosmology2603.10735v1 · V. Lindholm, E. Sihvola, J. Valiviita et al.2026 · 0 citationsarXiv
Euclid preparation. CIV. Impact of galaxy intrinsic alignment modelling choices on Euclid 3x2pt cosmology2602.16448v3 · D. Navarro-Giron'es, I. Tutusaus, M. Crocce et al.2026 · 0 citationsarXiv
Dark Energy Survey Year 6 Results: Cosmological Constraints from Cosmic Shear2602.10065v1 · T. M. C. Abbott, M. Aguena, A. Alarcon et al.2026 · 2 citationsarXiv
Euclid preparation. Galaxy power spectrum modelling in redshift space2601.20826v2 · B. Camacho Quevedo, M. Crocce, M. Pellejero Ibanez et al.2026 · 0 citationsarXiv
Dark Energy Survey Year 6 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing2601.14559v2 · T. M. C. Abbott, M. Adamow, M. Aguena et al.2026 · 0 citationsarXiv
Dark Energy Survey Year 6 Results: Weak Lensing and Galaxy Clustering Cosmological Analysis Framework2601.14859v2 · D. Sanchez-Cid, A. Fert'e, J. Blazek et al.2026 · 1 citationPhys. Rev. D 114, 063506 (2026)
Dark Energy Survey Year 6 Results: Galaxy-galaxy lensing2601.15175v2 · G. Giannini, G. Camacho-Ciurana, A. Whyley et al.2026 · 2 citationsPhysical Review D, Volume 113, Issue 10, id.103503, 30 pp, May 2026
Euclid preparation. 3D reconstruction of the cosmic web with simulated Euclid Deep spectroscopic samples2601.10709v1 · K. Kraljic, C. Laigle, M. Balogh et al.2026 · 0 citationsarXiv
Euclid preparation. Testing analytic models of galaxy intrinsic alignments in the Euclid Flagship simulation2601.07784v2 · R. Paviot, B. Joachimi, K. Hoffmann et al.2026 · 0 citationsA&A A&A Volume 713, September 2026
Euclid preparation. Calibrated intrinsic galaxy alignments in the Euclid Flagship simulation2601.07785v1 · K. Hoffmann, R. Paviot, B. Joachimi et al.2026 · 0 citationsarXiv
Euclid preparation. Galaxy 2-point correlation function modelling in redshift space2601.04780v1 · M. Karcher, M.-A. Breton, S. de la Torre et al.2026 · 0 citationsarXiv
Halo Lightcones with Optimised Orientation and Interpolation in Cosmological Simulations -- an application to mock H selected galaxies2512.13801v1 · Sujatha Ramakrishnan, Francisco J. Castander, Elizabeth J. Gonzalez et al.2025 · 0 citationsarXiv
Euclid preparation. Review of forecast constraints on dark energy and modified gravity2512.09748v1 · N. Frusciante, M. Martinelli, L. Lombriser et al.2025 · 0 citationsarXiv
Euclid Quick Data Release (Q1): Euclid spectroscopy of quasars. 1. Identification and redshift determination of 3500 bright quasars2512.08803v2 · Y. Fu, R. Bouwens, K. I. Caputi et al.2025 · 0 citationsA&A, 711, A285 (2026)
Testing modified gravity with 3x2pt analyses in galaxy mocks2511.21468v1 · Marc Alemany-Gotor, Cristian Viglione, Pablo Fosalba et al.2025 · 0 citationsarXiv
\textit{Euclid}: From Galaxies to Gravitational Waves -- Forecasting Stochastic Gravitational Wave Background Anisotropies and Their Cross-Correlation2511.11509v1 · K. Z. Yang, G. Cusin, V. Mandic et al.2025 · 0 citationsarXiv
Dark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design2511.04681v2 · A. Thomsen, J. Bucko, T. Kacprzak et al.2025 · 3 citationsarXiv
Dark Energy Survey Year 6 Results: Clustering-redshifts and importance sampling of Self-Organised-Maps realizations for pt samples2510.23565v2 · W. d'Assignies, G. M. Bernstein, B. Yin et al.2025 · 1 citationarXiv
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