CT
Crescenzo Tortora
astro-ph.GAastro-ph.COastro-ph.IMastro-phastro-ph.SRgr-qchep-phastro-ph.EPgravitational lensing: stronghep-th
On Valency
published · living versionsW_7vw62vu9·v1 · currentpublished
Photometric Redshift Estimation with Hybrid Quantum Neural Network
with Giuseppe Sarracino, Vincenzo Fabrizio Cardone, Irene Graziotti, Roberto Scaramella +11
1 version
W_mzxzere5·v1published
Preprints & journals
186 papers in the corpus · 2004–2026Reducing False Positives in Strong-Lens Searches with Generalized-Mean Consensus of Machine-Learning Ensembles in the Kilo-Degree Survey2609.24891v1 · Ziqi Li, Rui Li, Xu Huang et al.2026 · 0 citationsarXiv
KiDS J1447-0149: The first spatially resolved spectroscopy of a relic galaxy beyond the local universe. An old high-dispersion core embedded in a compact rotating stellar structure2609.21658v1 · Johanna Hartke, Chiara Spiniello, Michele Cappellari et al.2026 · 0 citationsarXiv
Identification of gravitational lenses obscured by foreground light in the KiDS dataset using U-Nets and ResNets2609.21660v1 · S. Liu, Rui Li, J. Jia et al.2026 · 0 citationsAstronomy & Astrophysics, 710, A366 (2026)
LenNet: Direct Detection and Localization of Strong Gravitational Lenses in Wide-Field Sky Survey Images2609.21661v1 · Pufan Liu, Hui Li, Ziqi Li et al.2026 · 1 citationFront. Astron. Space Sci. 12 (2025), 1656917
Galaxy-Galaxy Strong Lensing simulation with the GPU acceleration across surveys and multi-bands2609.18180v1 · Fucheng Zhong, Ruibiao Luo, Nicola R.Napolitano et al.2026 · 0 citationsarXiv
E-INSPIRE - II. Finding relics from wide-sky multi-band surveys: A proof-of-concept machine learning regression algorithm2609.12608v1 · Charles Rosen, Chiara Spiniello, John Mills et al.2026 · 0 citationsarXiv
Different paths, same appearance: an intermediate-age red nugget at z~0.132607.21696v1 · F. La Barbera, F. Buitrago, I. Ferreras et al.2026 · 0 citationsarXiv
Strong Lensing Tomography: Double and pseudo multi-source plane strong gravitational lensing to constrain dark energy2607.01005v2 · Paras Sharma, Simon Birrer, Narayan Khadka et al.2026 · 0 citationsarXiv
Probing IMF Variations in High-Redshift Early-Type Galaxies with SHARP2606.31189v1 · F. La Barbera, G. De Lucia, F. Ditrani et al.2026 · 0 citationsarXiv
SHARP -- A spectrograph proposal to fully exploit ELT capabilities and look beyond JWST2606.30721v1 · P. Saracco, P. Conconi, C. Arcidiacono et al.2026 · 1 citationarXiv
VST-SMASH: VST Survey of Mass Assembly and Structural Hierarchy II. Exploring dwarf galaxies in the vicinity of NGC 5068 and of the two galaxies NGC 5084 and NGC 5087 at the edges of the Virgo Supercluster2606.21117v1 · C. Tortora, R. Ragusa, L. K. Hunt et al.2026 · 0 citationsarXiv
Reconciling the Fundamental Plane of Early-Type Galaxies with hydrodynamical simulations: The case of IllustrisTNG100-12605.31548v1 · Pedro de Araujo Ferreira, Nicola R. Napolitano, Crescenzo Tortora et al.2026 · 0 citationsarXiv
Advancing the detection of low surface brightness galaxies. I. ATTILA: multi-tAsking deTecTIon tool for Lsb gAlaxies2605.21598v1 · E. Borsato, F. Fonzo, N. Bellucco et al.2026 · 0 citationsarXiv
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 arm2604.16045v1 · Magda Arnaboldi, Ortwin Gerhard, Surya Aniyan et al.2026 · 0 citationsarXiv
VST-SMASH: VST Survey of Mass Assembly and Structural Hierarchy I. Survey presentation and deep photometry of IC 5332: tracing the mass assembly in the challenging faintest-end regime2604.07083v2 · R. Ragusa, C. Tortora, L. Hunt et al.2026 · 1 citationA&A 710, A42 (2026)
Star-Galaxy Classification in Deep LSST Data with Random Forest: A Pilot study on the Data Preview 1 Release2603.25262v1 · M. Gatto, V. Ripepi, M. Bellazzini et al.2026 · 0 citationsA&A 709, A79 (2026)
Cosmology with galaxy clusters using machine learning. Application to eROSITA Data2602.20483v2 · Fucheng Zhong, Nicola R. Napolitano, Johan Comparat et al.2026 · 0 citationsarXiv
STEP survey: III. STEPping stones between the clouds: the star formation history of the Magellanic Bridge2602.12929v2 · F. Ficara, V. Ripepi, M. Cignoni et al.2026 · 0 citationsarXiv
Euclid: Early Release Observations -- The star-formation history of massive early-type galaxies in the Perseus cluster2601.20948v1 · S. Martocchia, A. Boselli, J.-C. Cuillandre et al.2026 · 0 citationsarXiv
Euclid: Early Release Observations -- The extended stellar component of the IC10 dwarf galaxy2601.11997v2 · F. Annibali, A. M. N. Ferguson, P. M. Sanchez-Alarcon et al.2026 · 0 citationsarXiv
Unlocking the physics of dwarf galaxies in the 2040s: The case for a next-generation wide-field spectroscopic facility with fibres and IFUs2512.18260v1 · Crescenzo Tortora, Daniela Carollo, Leslie Hunt et al.2025 · 0 citationsarXiv
Archaeological investigation of galaxies' evolutionary history in the cosmic middle ages2512.16998v1 · Anna R. Gallazzi, Stefano Zibetti, Mark Sargent et al.2025 · 0 citationsarXiv
SHARP: Beyond JWST -- Revealing the galaxy birth and growth with the resolution of the ELT2512.17042v1 · P. Saracco, P. Conconi, C. Arcidiacono et al.2025 · 0 citationsarXiv
Euclid preparation: LXXXI. The impact of nonparametric star formation histories on spatially resolved galaxy property estimation using synthetic Euclid images2511.22399v1 · A. Nersesian, Abdurro'uf, M. Baes et al.2025 · 0 citationsarXiv
Euclid Quick Data Release (Q1). Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks2511.03064v2 · L. Bazzanini, G. Angora, P. Bergamini et al.2025 · 1 citationarXiv
INSPIRE: INvestigating Stellar Populations In RElics. IX. KiDS J0842+0059: the first fully confirmed relic beyond the local Universe2505.13611v1 · C. Tortora, G. Tozzi, G. Agapito et al.2025 · 2 citationsarXiv
Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention2504.13020v1 · A. Humphrey, P. A. C. Cunha, L. Bisigello et al.2025 · 0 citationsA&A 702, A74 (2025)
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics2504.01669v3 · Eleonora Di Valentino, Jackson Levi Said, Adam Riess et al.2025 · 324 citationsPhys. Dark Univ. 49 (2025) 101965
Euclid: Early Release Observations -- Interplay between dwarf galaxies and their globular clusters in the Perseus galaxy cluster2503.16367v2 · T. Saifollahi, A. Lancon, Michele Cantiello et al.2025 · 13 citationsA&A 703, A184 (2025)
Euclid Quick Data Release (Q1): The evolution of the passive-density and morphology-density relations between and 2503.15313v2 · C. Cleland, S. Mei, G. De Lucia et al.2025 · 4 citationsarXiv
Euclid Quick Data Release (Q1). A first view of the star-forming main sequence in the Euclid Deep Fields2503.15314v3 · A. Enia, L. Pozzetti, M. Bolzonella et al.2025 · 0 citationsarXiv
Euclid Quick Data Release (Q1). A probabilistic classification of quenched galaxies2503.15315v3 · P. Corcho-Caballero, Y. Ascasibar, G. Verdoes Kleijn et al.2025 · 4 citationsarXiv
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine C: Finding lenses with machine learning2503.15326v2 · N. E. P. Lines, T. E. Collett, M. Walmsley et al.2025 · 14 citationsarXiv
Euclid Quick Data Release (Q1). LEMON -- Lens Modelling with Neural networks. Automated and fast modelling of Euclid gravitational lenses with a singular isothermal ellipsoid mass profile2503.15329v2 · V. Busillo, C. Tortora, R. B. Metcalf et al.2025 · 1 citationarXiv
Euclid: Quick Data Release (Q1) -- A census of dwarf galaxies across a range of distances and environments2503.15335v1 · F. R. Marleau, R. Habas, D. Carollo et al.2025 · 2 citationsarXiv
Euclid preparation. Spatially resolved stellar populations of local galaxies with Euclid: a proof of concept using synthetic images with the TNG50 simulation2503.15635v2 · Abdurro'uf, C. Tortora, M. Baes et al.2025 · 7 citationsA&A 702, A72 (2025)
Optical+NIR analysis of a Newly Confirmed Einstein ring at z$\sim$1 from the Kilo-Degree Survey: Dark matter fraction, total and dark matter density slope and IMF2503.10180v2 · Rui Li, Nicola R. Napolitano, Giuseppe D Ago et al.2025 · 1 citationarXiv
Euclid: Galaxy morphology and photometry from bulge-disc decomposition of Early Release Observations2502.15581v3 · L. Quilley, V. de Lapparent, M. Bolzonella et al.2025 · 2 citationsarXiv
CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations III. The physics behind the emergence of the golden mass scale2502.13589v2 · C. Tortora, V. Busillo, N. R. Napolitano et al.2025 · 4 citationsA&A 702, A177 (2025)
Quantifying the Detectability of Milky Way Satellites with Image Simulations: a Case Study with KiDS2502.13858v2 · Shiyang Zhang, Hendrik Hildebrandt, Ziang Yan et al.2025 · 3 citationsA&A 698, A108 (2025)
Intrinsic galaxy alignments in the KiDS-1000 bright sample: dependence on colour, luminosity, morphology, and galaxy scale2502.09452v2 · Christos Georgiou, Nora Elisa Chisari, Maciej Bilicki et al.2025 · 10 citationsA&A 699, A252 (2025)
Euclid: Finding strong gravitational lenses in the Early Release Observations using convolutional neural networks2502.09802v1 · B. C. Nagam, J. A. Acevedo Barroso, J. Wilde et al.2025 · 8 citationsarXiv
Euclid: A complete Einstein ring in NGC 65052502.06505v1 · C. M. O'Riordan, L. J. Oldham, A. Nersesian et al.2025 · 16 citationsA&A, 694, A145 (2025)
The catalogue of virtual early-type galaxies from IllustrisTNG: validation and real observation consistency2501.04932v2 · Pedro de Araujo Ferreira, Nicola R. Napolitano, Luciano Casarini et al.2025 · 1 citationMonthly Notices of the Royal Astronomical Society, Volume 539, Issue 4, June 2025, Pages 2855-2883
CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations -- II. Constraining cosmology and astrophysical processes with early- and late-type galaxies2412.00217v1 · Valerio Busillo, Crescenzo Tortora, Giovanni Covone et al.2024 · 3 citationsA&A 693, A112 (2025)
Leveraging Transfer Learning for Astronomical Image Analysis2411.18206v1 · Stefano Cavuoti, Lars Doorenbos, Demetra De Cicco et al.2024 · 0 citationsarXiv
Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field2411.16808v1 · R. Pearce-Casey, B. C. Nagam, J. Wilde et al.2024 · 17 citationsarXiv
VST-SMASH: the VST Survey of Mass Assembly and Structural Hierarchy2411.09608v1 · Crescenzo Tortora, Rossella Ragusa, Massimiliano Gatto et al.2024 · 1 citationThe Messenger 193, 31 (2024)
Galaxy-Galaxy Strong Lensing with U-Net (GGSL-UNet). I. Extracting 2-Dimensional Information from Multi-Band Images in Ground and Space Observations2410.02936v1 · Fucheng Zhong, Ruibiao Luo, Nicola R. Napolitano et al.2024 · 0 citationsarXiv
Using Convolutional Neural Networks to Search for Strongly Lensed Quasars in KiDS DR52409.17471v2 · Zizhao He, Rui Li, Yiping Shu et al.2024 · 3 citationsarXiv
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