activity
20202026
most citedCASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations -- II. Constraining cosmology and astrophysical processes with early- and late-type galaxies

3 citations · 7 across the 11 of their papers we have counts for

collaborators

24 papers

astro-ph.GA2026

Reconciling the Fundamental Plane of Early-Type Galaxies with hydrodynamical simulations: The case of IllustrisTNG100-1

Pedro de Araujo Ferreira, Nicola R. Napolitano, Crescenzo Tortora +2

The Fundamental Plane (FP) of Early-Type Galaxies (ETGs) encapsulates a tight correlation among their structural and dynamical properties and provides an important benchmark for ga…

astro-ph.GA2026

Kinematically cold and warm planetary nebulae samples, HII regions and supernovae remnants in the disc of the face-on spiral galaxy NGC 628 (M74) -- The Planetary Nebulae Spectrograph with the H arm

Magda Arnaboldi, Ortwin Gerhard, Surya Aniyan +14

We present the results for the galaxy NGC 628 observed with the Planetary Nebulae Spectrograph (PN.S) equipped with the H arm. With the third PN.S arm, the H arm, we measure…

astro-ph.CO2026

Cosmology with galaxy clusters using machine learning. Application to eROSITA Data

Fucheng Zhong, Nicola R. Napolitano, Johan Comparat +8

Context: We present the first Cosmological Parameter inferences from eROSITA X-ray observations of galaxy clusters using a Machine Learning algorithm. Methods: We train a Random Fo…

astro-ph.IM2025

Unlocking the physics of dwarf galaxies in the 2040s: The case for a next-generation wide-field spectroscopic facility with fibres and IFUs

Crescenzo Tortora, Daniela Carollo, Leslie Hunt +25

Dwarf galaxies () are the most numerous galaxies in the Universe and critical probes of dark matter, baryonic feedback, and galaxy formation. D…

astro-ph.CO20252 cited

KiDS-Legacy: Constraining dark energy, neutrino mass, and curvature

Robert Reischke, Benjamin Stölzner, Benjamin Joachimi +25

We constrained minimally extended cosmological models with the cosmic shear analysis of the final data release from the Kilo-Degree Survey (KiDS-Legacy) in combination with externa…

astro-ph.GA2025

Using Deep Learning Methods to Detect for Ultra-diffuse Galaxies in KiDS

Hao Su, Rui Li, Nicola R. Napolitano +13

Ultra-diffuse Galaxies (UDGs) are a subset of Low Surface Brightness Galaxies (LSBGs), showing mean effective surface brightness fainter than and a d…