119 citations · 255 across the 24 of their papers we have counts for
24 papers
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…
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…
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…
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…
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…
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…
Gamma Analytical Modeling Evolution (GAME) I: The physical implications of deriving the stellar mass functions from z=0 to z=8
Antonios Katsianis, Qingshan Wang, Xiaohu Yang +13
The growth model is an effective parameterization employed across various scientific disciplines and scales to depict growth. It has been demonstrated that the cosmic star form…
KiDS-Legacy: Consistency of cosmic shear measurements and joint cosmological constraints with external probes
Benjamin Stölzner, Angus H. Wright, Marika Asgari +33
We present a cosmic shear consistency analysis of the final data release from the Kilo-Degree Survey (KiDS-Legacy). By adopting three tiers of consistency metrics, we compare cosmo…
KiDS-Legacy: Cosmological constraints from cosmic shear with the complete Kilo-Degree Survey
Angus H. Wright, Benjamin Stölzner, Marika Asgari +35
We present cosmic shear constraints from the completed Kilo-Degree Survey (KiDS), where the cosmological parameter , is…
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…
Intrinsic galaxy alignments in the KiDS-1000 bright sample: dependence on colour, luminosity, morphology, and galaxy scale
Christos Georgiou, Nora Elisa Chisari, Maciej Bilicki +4
The intrinsic alignment (IA) of galaxies is a major astrophysical contaminant to weak gravitational lensing measurements, and the study of its dependence on galaxy properties helps…
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…
Galaxy Spectra Networks (GaSNet). III. Generative pre-trained network for spectrum reconstruction, redshift estimate and anomaly detection
Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka +11
Classification of spectra (1) and anomaly detection (2) are fundamental steps to guarantee the highest accuracy in redshift measurements (3) in modern all-sky spectroscopic surveys…
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…
VST-SMASH: the VST Survey of Mass Assembly and Structural Hierarchy
Crescenzo Tortora, Rossella Ragusa, Massimiliano Gatto +21
The VLT Survey Telescope Survey of Mass Assembly and Structural Hierarchy (VST-SMASH) aims to detect tidal features and remnants around very nearby galaxies, a unique and essential…
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation
Qiufan Lin, Hengxin Ruan, Dominique Fouchez +6
Obtaining well-calibrated photometric redshift probability densities for galaxies without a spectroscopic measurement remains a challenge. Deep learning discriminative models, typi…
Galaxy-Galaxy Strong Lensing with U-Net (GGSL-UNet). I. Extracting 2-Dimensional Information from Multi-Band Images in Ground and Space Observations
Fucheng Zhong, Ruibiao Luo, Nicola R. Napolitano +6
We present a novel deep learning method to separately extract the two-dimensional flux information of the foreground galaxy (deflector) and background system (source) of Galaxy-Gal…
KiDS-Legacy: Angular galaxy clustering from deep surveys with complex selection effects
Ziang Yan, Angus H. Wright, Nora Elisa Chisari +20
Photometric galaxy surveys, despite their limited resolution along the line of sight, encode rich information about the large-scale structure (LSS) of the Universe thanks to the hi…
Gravitational Wave Astronomy With TianQin
En-Kun Li, Shuai Liu, Alejandro Torres-Orjuela +50
The opening of the gravitational wave window has significantly enhanced our capacity to explore the universe's most extreme and dynamic sector. In the mHz frequency range, a divers…
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…
Morpho-Photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star-Quasar-Galaxy Catalog
Hai-Cheng Feng, Rui Li, Nicola R. Napolitano +14
We present a novel multimodal neural network (MNN) for classifying astronomical sources in multiband ground-based observations, from optical to near infrared, to separate sources i…
New Kids in Town. Sextans~II: a new stellar system in the outskirts of the Milky Way
Massimiliano Gatto, Michele Bellazzini, Crescenzo Tortora +9
We report on the discovery of a significant and compact over-density of old and metal-poor stars in the KiDS survey (data release 4). The discovery is confirmed by deeper HSC-SSC d…
Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions
Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka +25
Large sky spectroscopic surveys have reached the scale of photometric surveys in terms of sample sizes and data complexity. These huge datasets require efficient, accurate, and fle…
COSTA: the COld STream finder Algorithm. Searching for kinematical substructures in the phase space of discrete tracers
M. Gatto, N. R. Napolitano, C. Spiniello +2
Context: We present COSTA (COld STream finder Algorithm), a novel algorithm to search for cold kinematical substructures in the phase space of planetary nebulae (PNe) and globular…