11 citations · 100 across the 29 of their papers we have counts for
31 papers
Euclid preparation. The shape of halo profiles in CDM and non-standard cosmologies
Euclid Collaboration, L. Pizzuti, G. Y. Ferron +304
We study the shape of three-dimensional and projected dark-matter halo profiles extracted from cosmological -body simulations in CDM and non-standard cosmologies, using the \…
It's not : constraining the non-linear matter power spectrum with the Dark Energy Survey Year-5 supernova sample
Paul Shah, T. M. Davis, M. Vincenzi +58
The weak gravitational lensing magnification of Type Ia supernovae (SNe Ia) is sensitive to the matter power spectrum on scales Mpc, making it unwise to interpret SN…
Euclid preparation. 3-dimensional galaxy clustering in configuration space. Part I. 2-point correlation function estimation
Euclid Collaboration, S. de la Torre, F. Marulli +297
The 2-point correlation function of the galaxy spatial distribution is a major cosmological observable that enables constraints on the dynamics and geometry of the Universe. The Eu…
Euclid preparation LX. The use of HST images as input for weak-lensing image simulations
Euclid Collaboration, D. Scognamiglio, T. Schrabback +245
Data from the Euclid space telescope will enable cosmic shear measurements with very small statistical errors, requiring corresponding systematic error control level. A common appr…
Comparing the DES-SN5YR and Pantheon+ SN cosmology analyses: Investigation based on "Evolving Dark Energy or Supernovae systematics?"
M. Vincenzi, R. Kessler, P. Shah +65
Recent cosmological analyses measuring distances of Type Ia Supernovae (SNe Ia) and Baryon Acoustic Oscillations (BAO) have all given similar hints at time-evolving dark energy. To…
Discovering Strong Gravitational Lenses in the Dark Energy Survey with Interactive Machine Learning and Crowd-sourced Inspection with Space Warps
J. Gonzalez, P. Holloway, T. Collett +70
We conduct a search for strong gravitational lenses in the Dark Energy Survey (DES) Year 6 imaging data. We implement a pre-trained Vision Transformer (ViT) for our machine learnin…