Rossetti E

Euclid ERO LBG and ERS candidate lists

John R. Weaver, Taamoli S., McPartland C.J.R., Zalesky L. et autres

NGC 6254 (M10) and NGC 6397 Euclid photometry

D. Massari, Dalessandro E., Erkal D., Balbinot E. et autres

Euclic preparation XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear

Tanidis K, Cardone V, Martinelli M., Tutusaus I et autres

Context. The cosmological surveys that are planned for the current decade will provide us with unparalleled observations of the distribution of galaxies on cosmic scales, by means of which we can probe the underlying large-scale structure (LSS) of the Universe. This will …

ca, ch, fr, pt, it, es, de, no, us, gb, dk, fi, nl (code pays fourni par la source)

Euclid preparation. XXXVII. Galaxy colour selections with Euclid and ground photometry for cluster weak-lensing analyses

Lesci G, Sereno M, Radovich M, Castignani G et autres

Aims. We derived galaxy colour selections from Euclid and ground-based photometry, aiming to accurately define background galaxy samples in cluster weak-lensing analyses. These selections have been implemented in the Euclid data analysis pipelines for galaxy clusters. Methods. Given any set of photometric …

Euclid preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

Leuzzi L, Meneghetti M, Angora G, Metcalf R. B. et autres

Forthcoming imaging surveys will increase the number of known galaxy-scale strong lenses by several orders of magnitude. For this to happen, images of billions of galaxies will have to be inspected to identify potential candidates. In this context, deep-learning techniques are particularly …

fr, us, it, ch, Afrique du Sud, gb, de, pt, es, in, no, dk (code pays fourni par la source)

Euclid preparation XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

Giocoli C, Meneghetti M, Rasia E., Borgani S et autres

The photometric catalogue of galaxy clusters extracted from ESA Euclid data is expected to be very competitive for cosmological studies. Using dedicated hydrodynamical simulations, we present systematic analyses simulating the expected weak-lensing profiles from clusters in a variety of dynamic states and …

The GIANO-TNG spectrometer

Oliva E., Origlia L., Baffa C., Biliotti C. et autres

Euclid: Finding strong gravitational lenses in the early release observations using convolutional neural networks

Nagam BC, Acevedo Barroso JA, Wilde Michael J, Andika IT et autres

© 2025 The Authors. Several new galaxy-galaxy strong gravitational lenses have been detected in the early release observations (ERO) from Euclid. The all-sky survey is expected to find 170 000 new systems, which are expected to greatly enhancing studies of dark matter …

Euclid preparation LXXIV. Euclidised observations of Hubble Frontier Fields and CLASH galaxy clusters

Bergamini P, Meneghetti M, Angora G, Bazzanini L et autres

© The Authors 2025.We present HST2EUCLID, a novel Python code to generate Euclid realistic mock images in the HE, JE, YE, and IE photometric bands based on panchromatic Hubble Space Telescope observations. The software was used to create a simulated database of …

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field

Pearce-Casey R, Nagam BC, Wilde Michael J, Busillo V et autres

© The Authors 2025.The Euclid Wide Survey (EWS) is predicted to find approximately 170 000 galaxy-galaxy strong lenses from its lifetime observation of 14 000 deg2 of the sky. Detecting this many lenses by visual inspection with professional astronomers and citizen scientists …

Euclid: the potential of slitless infrared spectroscopy: a z = 5.4 quasar and new ultracool dwarfs

Banados E, Le Brun V, Belladitta S, Momcheva I et autres

© 2025 The Author(s). We demonstrate the potential of Euclid 's slitless spectroscopy to discover high-redshift (5$]]>) quasars and their main photometric contaminant, ultracool dwarfs. Sensitive infrared spectroscopy from space is able to efficiently identify both populations, as demonstrated by Euclid Near-Infrared …

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

Kovacic I, Baes M, Nersesian A, Andreadis N et autres

© The Authors 2025.The Euclid 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 …