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most citedCosmology and the Bispectrum

270 citations · 4.8k across the 154 of their papers we have counts for

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20 papers · 1 filter

astro-ph.CO2024★ 2 cited

Euclid: Field-level inference of primordial non-Gaussianity and cosmic initial conditions

A. Andrews, J. Jasche, G. Lavaux +147

A primary target of the \Euclid space mission is to constrain early-universe physics by searching for deviations from a primordial Gaussian random field. A significant detection of…

astro-ph.CO2024

Euclid preparation: TBD. The impact of line-of-sight projections on the covariance between galaxy cluster multi-wavelength observable properties -- insights from hydrodynamic simulations

Euclid Collaboration, A. Ragagnin, A. Saro +240

Cluster cosmology can benefit from combining multi-wavelength studies, which can benefit from characterising the correlation coefficients between different mass-observable relation…

astro-ph.SR2024★ 1 cited

Euclid: High-precision imaging astrometry and photometry from Early Release Observations. I. Internal kinematics of NGC 6397 by combining Euclid and Gaia data

M. Libralato, L. R. Bedin, M. Griggio +175

The instruments at the focus of the Euclid space observatory offer superb, diffraction-limited imaging over an unprecedented (from space) wide field of view of 0.57 deg. This e…

astro-ph.CO2024★ 4 cited

Euclid preparation. The impact of relativistic redshift-space distortions on two-point clustering statistics from the Euclid wide spectroscopic survey

Euclid Collaboration, M. Y. Elkhashab, D. Bertacca +252

Measurements of galaxy clustering are affected by RSD. Peculiar velocities, gravitational lensing, and other light-cone projection effects modify the observed redshifts, fluxes, an…

astro-ph.CO2024★ 1 cited

Euclid preparation. L. Calibration of the linear halo bias in CDM cosmologies

Euclid Collaboration, T. Castro, A. Fumagalli +253

The Euclid mission, designed to map the geometry of the dark Universe, presents an unprecedented opportunity for advancing our understanding of the cosmos through its photometric g…

astro-ph.GA2024★ 8 cited

Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods

Euclid Collaboration, A. Enia, M. Bolzonella +260

Euclid will collect an enormous amount of data during the mission's lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting metho…