In the phenomenon of gravitational lensing, predicted by Einstein's General Theory of Relativity, the mass of a galaxy acts on the light of a more distant object, as if it were a huge lens, producing a distorted image with the form of a so-called Einstein ring or multiple images and a magnification of the total flux, allowing to see details which would otherwise be too faint to detect. GTC/OSIRIS spectroscopic observations allowed to discover one of the brightest galaxies in the early Universe, BG1429+1202, located at a redshift of 2.82 (we see it as it was some 2,300 million years after the Big Bang). BG1429+1202 is a Lyman-Alpha Emitting galaxy (LAE) gravitationally lensed by a massive Early Type galaxy close to the line of sight at a redshift of 0.55. Although typical LAEs are faint and not very luminous, BG1429+1202 is not only apparently bright but also intrinsically very luminous after accounting for the lensing magnification, showing indications of massive star formation. This galaxy-scale strong gravitational system was found in the BELLS GALLERY project that analysed around a million and a half spectra of galaxies obtained with the Sloan Telescope, at the Apache Point Observatory in New Mexico (USA), by the BOSS survey, part of the Sloan Digital Sky Survey III.
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Dark matter is an invisible substance that makes up more than eighty percent of the matter content of the universe. We know of its existence due to its gravitational influence, being a key ingredient to understand everything from the large-scale evolution of the universe to the formation of galaxies like the Milky Way, of which we are part of . However, very little is known about its nature, which constitutes one of the greatest unsolved problems in contemporary physics. The fuzzy dark matter model has recently been studied as a promising candidate. In this model , it is postulated that dark
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The amount and complexity of data delivered by modern galaxy surveys has been steadily increasing over the past years. New facilities will soon provide imaging and spectra of hundreds of millions of galaxies. Extracting coherent scientific information from these large and multi-modal data sets remains an open issue for the community and data-driven approaches such as deep learning have rapidly emerged as a potentially powerful solution to some long lasting challenges. This enthusiasm is reflected in an unprecedented exponential growth of publications using neural networks, which have gone
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In the 90s, the COBE satellite discovered that not all the microwave emission from our Galaxy behaved as expected. Part of this signal was later assigned to a fresh new emission component, spatially correlated with the Galactic dust emission, which showed greater importance in the microwave range of frequencies. It has been named since as “anomalous microwave emission”, or AME. The current main hypothesis to explain the AME origin is that it is emitted by small dust particles which undergo fast spinning movements. In Fernández-Torreiro et al. (2023), we study the observational properties of
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