LP
Luca Pagano
astro-ph.COastro-ph.IMastro-ph.GAhep-phgr-qcastro-phhep-thastro-ph.HEhep-exphysics.ins-det
On Valency
published · living versionsW_ha2q7p4j·v1 · currentpublished
A Constraint on Planck-scale Modifications to Electrodynamics with CMB polarization data
with Giulia Gubitosi, Giovanni Amelino-Camelia, Alessandro Melchiorri, Asantha Cooray
1 version
Preprints & journals
250 papers in the corpus · 2007–2026Exact map-space beam convolution via spin-mapmaking2610.20231v1 · Camille Demay, Magdy Morshed, Martina Gerbino et al.2026 · 0 citationsarXiv
FOSSIL: A future mission for CMB spectral distortion measurements2609.17618v1 · N. Aghanim, B. Maffei, J. Aumont et al.2026 · 0 citationsarXiv
LiteBIRD Mission Overview after Mission Reformation2607.25285v1 · K. Aizawa, H. Akamatsu, R. Akizawa et al.2026 · 0 citationsarXiv
Galactic Science with the LiteBIRD satellite: Spectral characterization of diffuse Galactic polarized emission at the angular power spectrum level2607.20080v1 · S. Vinzl, J. Aumont, L. Vacher et al.2026 · 0 citationsarXiv
A cross-calibration approach for polarisation-sensitive detectors in CMB experiments: application to LiteBIRD's polarisation angle calibration2606.23207v2 · A. Novelli, F. Piacentini, S. Micheli et al.2026 · 0 citationsarXiv
CosmoForge I: A unified framework for QML power spectrum estimation and pixel-based likelihood analysis2605.21149v1 · Giacomo Galloni, Luca Pagano2026 · 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
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. 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
Cross-spectra likelihood for robust constraints from all satellite polarisation data2603.22454v1 · Valentina Genesini, Giaccomo Galloni, Luca Pagano et al.2026 · 0 citationsarXiv
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 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
Euclid. Properties and performance of the NISP signal estimator2602.03574v1 · F. Cogato, B. Kubik, R. Barbier et al.2026 · 0 citationsarXiv
Mitigating half-wave plate systematics at the map-making level: calibration requirements for LiteBIRD2602.02410v1 · N. Raffuzzi, A. Carones, M. Monelli et al.2026 · 0 citationsarXiv
Euclid preparation. Galaxy power spectrum modelling in redshift space2601.20826v2 · B. Camacho Quevedo, M. Crocce, M. Pellejero Ibanez et al.2026 · 0 citationsarXiv
Euclid preparation. Decomposing components of the extragalactic background light using multi-band intensity mapping cross-correlations2601.21111v3 · Y. Cao, A. R. Cooray, T. Li et al.2026 · 0 citationsarXiv
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: Galaxy SED reconstruction in the PHZ processing function: impact on the PSF and the role of medium-band filters2601.10795v1 · F. Tarsitano, C. Schreiber, H. Miyatake 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. Galaxy 2-point correlation function modelling in redshift space2601.04780v1 · M. Karcher, M.-A. Breton, S. de la Torre et al.2026 · 0 citationsarXiv
The Simons Observatory: forecasted constraints on primordial gravitational waves with the expanded array of Small Aperture Telescopes2512.15833v1 · I. Abril-Cabezas, S. Adachi, P. Ade et al.2025 · 3 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 preparation: LXXXVII. Non-Gaussianity of 2-point statistics likelihood: Precise analysis of the matter power spectrum distribution2511.08266v3 · J. Bel, S. Gouyou Beauchamps, P. Baratta et al.2025 · 0 citationsarXiv
Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 6: Impact of systematic uncertainties on the cosmological analysis2510.10021v1 · L. Blot, K. Tanidis, G. Canas-Herrera et al.2025 · 0 citationsarXiv
Cosmology Likelihood for Observables in \Euclid (CLOE). 1. Theoretical recipe2510.09118v1 · V. F. Cardone, S. Joudaki, L. Blot et al.2025 · 0 citationsarXiv
Euclid preparation XCVII. Cosmology Likelihood for Observables in Euclid (CLOE). 4: Validation and performance2510.09141v2 · M. Martinelli, A. Pezzotta, D. Sciotti et al.2025 · 2 citationsarXiv
Euclid preparation. XCVIII. Cosmology Likelihood for Observables in Euclid (CLOE). 5: Extensions beyond the standard modelling of theoretical probes and systematic effects2510.09147v2 · L. W. K. Goh, A. Nouri-Zonoz, S. Pamuk et al.2025 · 0 citationsarXiv
Euclid preparation. XCVI. Cosmology Likelihood for Observables in Euclid (CLOE). 3. Inference and Forecasts2510.09153v2 · G. Canas-Herrera, L. W. K. Goh, L. Blot et al.2025 · 0 citationsarXiv
Stairway to Axions: the cross-correlation of birefringence and galaxies from NPIPE and Quaia2509.22273v1 · S. Arcari, N. Bartolo, G. Fabbian et al.2025 · 0 citationsarXiv
Systematic effect induced by misalignment in a Reflective Polarization Modulator for CMB, and application to the LiteBIRD case2509.03564v2 · S. Stellati, F. Piacentini, S. Micheli et al.2025 · 0 citationsJCAP02(2026)003
Euclid preparation: Expected constraints on initial conditions2507.15819v1 · F. Finelli, Y. Akrami, A. Andrews et al.2025 · 0 citationsarXiv
First release of LiteBIRD simulations from an end-to-end pipeline2507.07122v5 · M. Bortolami, N. Raffuzzi, L. Pagano et al.2025 · 3 citationsarXiv
A Simulation Framework for the LiteBIRD Instruments2507.04918v2 · M. Tomasi, L. Pagano, A. Anand et al.2025 · 2 citationsarXiv
On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe2507.05324v2 · R. Aurvik, M. Galloway, E. Gjerl\ow et al.2025 · 1 citationJCAP11(2025)041
Requirements on bandpass resolution and measurement precision for LiteBIRD2506.22217v3 · S. Giardiello, A. Carones, T. Ghigna et al.2025 · 1 citationJCAP10(2025)038
Euclid preparation. Full-shape modelling of 2-point and 3-point correlation functions in real space2506.22257v1 · M. Guidi, A. Veropalumbo, A. Pugno et al.2025 · 0 citationsarXiv
Euclid preparation. LXXXIX. Accurate and precise data-driven angular power spectrum covariances2506.09118v2 · K. Naidoo, J. Ruiz-Zapatero, N. Tessore et al.2025 · 1 citationA&A 708, A167 (2026)
Accurate and efficient likelihood modeling for large-scale CMB data2505.24829v2 · Giacomo Galloni, Paolo Campeti, Luca Pagano et al.2025 · 0 citationsJCAP12(2025)052
LiteBIRD Science Goals and Forecasts: constraining isotropic cosmic birefringence2503.22322v2 · E. de la Hoz, P. Diego-Palazuelos, J. Errard et al.2025 · 12 citationsarXiv
The Atacama Cosmology Telescope: DR6 Power Spectra, Likelihoods and CDM Parameters2503.14452v2 · Thibaut Louis, Adrien La Posta, Zachary Atkins et al.2025 · 11 citationsarXiv
The Atacama Cosmology Telescope: DR6 Constraints on Extended Cosmological Models2503.14454v2 · Erminia Calabrese, J. Colin Hill, Hidde T. Jense et al.2025 · 203 citationsarXiv
From few to many maps: A fast map-level emulator for extreme augmentation of CMB systematics datasets2503.11643v2 · P. Campeti, J.-M. Delouis, L. Pagano et al.2025 · 3 citationsA&A 700, A136 (2025)
The Simons Observatory: Science Goals and Forecasts for the Enhanced Large Aperture Telescope2503.00636v3 · M. Abitbol, I. Abril-Cabezas, S. Adachi et al.2025 · 70 citationsarXiv
Modeling beam chromaticity for high-resolution CMB analyses2411.10124v1 · S. Giardiello, A. J. Duivenvoorden, E. Calabrese et al.2024 · 6 citationsarXiv
Requirements on the gain calibration for LiteBIRD polarisation data with blind component separation2411.02080v1 · F. Carralot, A. Carones, N. Krachmalnicoff et al.2024 · 4 citationsarXiv
Unveiling V Modes: Enhancing CMB Sensitivity to BSM Physics with a Non-Ideal Half-Wave Plate2409.10424v1 · N. Raffuzzi, M. Lembo, S. Giardiello et al.2024 · 3 citationsarXiv
Euclid preparation. LXVII. Deep learning true galaxy morphologies for weak lensing shear bias calibration2409.07528v2 · B. Csizi, T. Schrabback, S. Grandis et al.2024 · 3 citationsA&A 695, A283 (2025)
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