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Euclid: Forecasts for -cut Point Statistics
P. L. Taylor, T. Kitching, V. F. Cardone +92
Modelling uncertainties at small scales, i.e. high in the power spectrum , due to baryonic feedback, nonlinear structure growth and the fact that galaxies are biased trac…
Strong detection of the CMB lensingxgalaxy weak lensingcross-correlation from ACT-DR4,PlanckLegacy and KiDS-1000
Naomi Clare Robertson, David Alonso, Joachim Harnois-Déraps +48
We measure the cross-correlation between galaxy weak lensing data from the Kilo Degree Survey (KiDS-1000, DR4) and cosmic microwave background (CMB) lensing data from the Atacama C…
Euclid: impact of nonlinear prescriptions on cosmological parameter estimation from weak lensing cosmic shear
M. Martinelli, I. Tutusaus, M. Archidiacono +91
Upcoming surveys will map the growth of large-scale structure with unprecented precision, improving our understanding of the dark sector of the Universe. Unfortunately, much of the…
Photometric selection and redshifts for quasars in the Kilo-Degree Survey Data Release 4
S. J. Nakoneczny, M. Bilicki, A. Pollo +10
We present a catalog of quasars and corresponding redshifts in the Kilo-Degree Survey (KiDS) Data Release 4. We trained machine learning (ML) models, using optical ugri and near-in…
The Fornax Deep Survey data release 1
Reynier Peletier, Enrichetta Iodice, Aku Venhola +14
We present the first data release of the Fornax Deep Survey (FDS), an imaging survey using using the wide-field imager OmegaCAM mounted on the VST in the SDSS u', g', r', and i'-ba…
Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction
Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa +3
Training recurrent neural networks on long texts, in particular scholarly documents, causes problems for learning. While hierarchical attention networks (HANs) are effective in sol…