5 citations · 11 across the 34 of their papers we have counts for
47 papers · 1 filter
Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA
The H1 collaboration, V. Andreev, M. Arratia +141
In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. When the average transverse…
Euclid preparation. LVIII. Detecting globular clusters in the Euclid survey
Euclid Collaboration, K. Voggel, A. Lançon +270
Extragalactic globular clusters (EGCs) are an abundant and powerful tracer of galaxy dynamics and formation, and their own formation and evolution is also a matter of extensive deb…
Euclid preparation: Determining the weak lensing mass accuracy and precision for galaxy clusters
Euclid Collaboration, L. Ingoglia, M. Sereno +279
We investigate the level of accuracy and precision of cluster weak-lensing (WL) masses measured with the \Euclid data processing pipeline. We use the DEMNUni-Cov -body simulatio…
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…
Euclid preparation. LII. Forecast impact of super-sample covariance on 3x2pt analysis with Euclid
Euclid Collaboration, D. Sciotti, S. Gouyou Beauchamps +221
Deviations from Gaussianity in the distribution of the fields probed by large-scale structure surveys generate additional terms in the data covariance matrix, increasing the uncert…
Euclid and KiDS-1000: Quantifying the impact of source-lens clustering on cosmic shear analyses
L. Linke, S. Unruh, A. Wittje +150
The transition from current Stage-III surveys such as the Kilo-Degree Survey (KiDS) to the increased area and redshift range of Stage IV surveys such as Euclid will significantly i…