activity
20202026
most citedDeeper multi-redshift upper limits on the Epoch of Reionization 21-cm signal power spectrum from LOFAR between z=8.3 and z=10.1

27 citations · 121 across the 24 of their papers we have counts for

collaborators
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7 papers · 1 filter

astro-ph.GA2026

POLAR-II: modeling star formation history of galaxies on the 21-cm signal from Epoch of Reionization

Qing-Bo Ma, Raghunath Ghara, Benedetta Ciardi +6

Galaxies may suffer some starburst and quenched periods in their history due to e.g. galaxy mergers and feedback. However, semi-numerical simulations of the Epoch of Reionization (…

astro-ph.GA2025★ 3 cited

Euclid Quick Data Release (Q1). A probabilistic classification of quenched galaxies

Euclid Collaboration, P. Corcho-Caballero, Y. Ascasibar +318

Investigating what drives the quenching of star formation in galaxies is key to understanding their evolution. The Euclid mission will provide rich data from optical to infrared wa…

astro-ph.GA2025★ 1 cited

Optical+NIR analysis of a Newly Confirmed Einstein ring at z1 from the Kilo-Degree Survey: Dark matter fraction, total and dark matter density slope and IMF

Rui Li, Nicola R. Napolitano, Giuseppe D Ago +16

We report the spectroscopic confirmation of a bright blue Einstein ring in the Kilo Degree Survey (KiDS) footprint: the Einstein ``blue eye''. Spectroscopic data from X-Shooter at…

astro-ph.GA2025★ 4 cited

CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations III. The physics behind the emergence of the golden mass scale

C. Tortora, V. Busillo, N. R. Napolitano +5

We investigate the origin and evolution of the "golden mass" (halo mass , stellar mass ), linked to peak star f…

astro-ph.GA2025

Automation of finding strong gravitational lenses in the Kilo Degree Survey with U-DenseLens (DenseLens + Segmentation)

Bharath Chowdhary Nagam, Léon V E Koopmans, Edwin A Valentijn +7

In the context of upcoming large-scale surveys like Euclid, the necessity for the automation of strong lens detection is essential. While existing machine learning pipelines heavil…

astro-ph.GA2024★ 3 cited

CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations -- II. Constraining cosmology and astrophysical processes with early- and late-type galaxies

Valerio Busillo, Crescenzo Tortora, Giovanni Covone +3

Physical processes impact galaxy formation and evolution in diverse ways, requiring validation of their implementation in cosmological simulations through comparisons with real dat…

astro-ph.GA2024

Using Convolutional Neural Networks to Search for Strongly Lensed Quasars in KiDS DR5

Zizhao He, Rui Li, Yiping Shu +13

Gravitationally strongly lensed quasars (SL-QSO) offer invaluable insights into cosmological and astrophysical phenomena. With the data from ongoing and next-generation surveys, th…