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Euclid preparation. LXVIII. Extracting physical parameters from galaxies with machine learning

Astronomy & Astrophysics
The mission is generating a vast amount of imaging data in four broadband filters at a high angular resolution. This data will allow for the detailed study of mass, metallicity, and stellar populations across galaxies that will constrain their formation ...
Euclid Collaboration I. Kovavci'c   +499 more
semanticscholar   +1 more source

Euclid preparation. LVI. Sensitivity to non-standard particle dark matter models

Astronomy & Astrophysics
The mission of the European Space Agency will provide weak gravitational lensing and galaxy clustering surveys that can be used to constrain the standard cosmological model and its extensions, with an opportunity to test the properties of dark matter ...
Euclid Collaboration J. Lesgourgues   +499 more
semanticscholar   +1 more source

Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods.

Astronomy & Astrophysics
will collect an enormous amount of data during the mission's lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting methods, numerous machine learning (ML) algorithms have been presented for computing ...
Euclid Collaboration A. Enia   +499 more
semanticscholar   +1 more source

Euclid preparation: LXVII. Deep learning true galaxy morphologies for weak lensing shear bias calibration

Astronomy & Astrophysics
To date, galaxy image simulations for weak lensing surveys usually approximate the light profiles of all galaxies as a single or double Sérsic profile, neglecting the influence of galaxy substructures and morphologies deviating from such a simplified ...
Euclid Collaboration B. Csizi   +499 more
semanticscholar   +1 more source

Euclid preparation. LXV. Determining the weak lensing mass accuracy and precision for galaxy clusters

Astronomy & Astrophysics
The ability to measure unbiased weak-lensing (WL) masses is a key ingredient to exploit galaxy clusters as a competitive cosmological probe with the ESA survey or future missions.
Euclid Collaboration L. Ingoglia   +499 more
semanticscholar   +1 more source

Euclid preparation. LXXII. Three-dimensional galaxy clustering in configuration space. 1. Two-point correlation function estimation

Astronomy & Astrophysics
The two-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 Euclid mission is aimed at performing an extensive spectroscopic survey of
Euclid Collaboration S. de la Torre   +499 more
semanticscholar   +1 more source

Euclid preparation. Simulations and non-linearities beyond Lambda cold dark matter. I. Numerical methods and validation

Astronomy & Astrophysics
To constrain cosmological models beyond Lambda CDM, the development of the analysis pipeline requires simulations that capture the non-linear phenomenology of such models.
Euclid Collaboration J. Adamek   +499 more
semanticscholar   +1 more source

Euclid preparation. L. Calibration of the halo linear bias in Lambda(u)CDM cosmologies

Astronomy & Astrophysics
The mission, designed to map the geometry of the dark Universe, presents an unprecedented opportunity for advancing our understanding of the cosmos through its photometric galaxy cluster survey. Central to this endeavor is the accurate calibration of the
Euclid Collaboration T. Castro   +499 more
semanticscholar   +1 more source

InP colloidal quantum dots for visible and near-infrared photonics

Nature Reviews Materials, 2023
Guilherme Almeida
exaly  

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