550 citations · 748 across the 11 of their papers we have counts for
11 papers
Euclid preparation: LXXXVII. Non-Gaussianity of 2-point statistics likelihood: Precise analysis of the matter power spectrum distribution
Euclid Collaboration, J. Bel, S. Gouyou Beauchamps +281
We investigate the non-Gaussian features in the distribution of the matter power spectrum multipoles. Using the COVMOS method, we generate 100\,000 mock realisations of dark matter…
Euclid preparation. LXXXV. Toward a DR1 application of higher-order weak lensing statistics
Euclid Collaboration, S. Vinciguerra, F. Bouchè +284
This is the second paper in the HOWLS (higher-order weak lensing statistics) series exploring the usage of non-Gaussian statistics for cosmology inference within Euclid. With respe…
GWTC-4.0: Methods for Identifying and Characterizing Gravitational-wave Transients
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1809
The Gravitational-Wave Transient Catalog (GWTC) is a collection of candidate gravitational-wave transient signals identified and characterized by the LIGO-Virgo-KAGRA Collaboration…
Euclid. I. Overview of the Euclid mission
Euclid Collaboration, Y. Mellier, Abdurro'uf +1134
The current standard model of cosmology successfully describes a variety of measurements, but the nature of its main ingredients, dark matter and dark energy, remains unknown. Eucl…
Ultralight vector dark matter search using data from the KAGRA O3GK run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1800
Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating l…
Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning
Euclid Collaboration, B. Aussel, S. Kruk +255
The Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep…