Los estudios de poblaciones estelares proporcionan pistas únicas para restringir los modelos de formación de galaxias. Los resultados obtenidos hasta la fecha a partir del rango espectral óptico sugieren que las galaxias de primeros tipos (elípticas y lenticulares) más masivas, las cuales constituyen el ∼60% de la masa estelar total en el Universo

We present the first cosmology results from large-scale structure using the full 5000 deg 2 of imaging data from the Dark Energy Survey (DES) Data Release 1. We perform an analysis of large-scale structure combining three two-point correlation functions (3 ×2 pt ): (i) cosmic shear using 100 million source galaxies, (ii) galaxy clustering, and (iii

This work, together with its companion paper, Secco, Samuroff et al. [Phys. Rev. D 105, 023515 (2022), 10.1103/PhysRevD.105.023515], present the Dark Energy Survey Year 3 cosmic-shear measurements and cosmological constraints based on an

This work and its companion paper, Amon et al. [Phys. Rev. D 105, 023514 (2022), 10.1103/PhysRevD.105.023514], present cosmic shear measurements and cosmological constraints from over 100 million source galaxies in the Dark Energy Survey (DES) Year 3 data. We constrain the lensing amplitude parameter S 8≡σ 8√{Ω m/0.3 } at the 3% level in Λ CDM : S

Context. Empirical relations between major UV and extreme UV spectral lines are one of the inputs for models of chromospheric and coronal spectral radiances and irradiances. They are also needed for the interpretation of some of the observations of the Solar Orbiter mission. Aims: We aim to determine an empirical relation between the intensities of

We present a machine learning framework to simulate realistic galaxies for the Euclid Survey, producing more complex and realistic galaxies than the analytical simulations currently used in Euclid. The proposed method combines a control on galaxy shape parameters offered by analytic models with realistic surface brightness distributions learned