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Bibliografski detalji
Glavni autori:	Rezaei, Samira, Chegeni, Amirmohammad, Nagam, Bharath Chowdhary, McKean, J. P., Baratchi, Mitra, Kuijken, Koen, Koopmans, Léon V. E.
Format:	Preprint
Izdano:	2025
Teme:	Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Computer Vision and Pattern Recognition
Online pristup:	https://arxiv.org/abs/2502.14936
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

Slični predmeti

Automation of finding strong gravitational lenses in the Kilo Degree Survey with U-DenseLens (DenseLens + Segmentation)
od: Nagam, Bharath Chowdhary, i dr.
Izdano: (2025)

Assessing Galaxy Rotation Kinematics: Insights from Convolutional Neural Networks on Velocity Variations
od: Chegeni, Amirmohammad, i dr.
Izdano: (2025)

A self-consistent framework to study magnetic fields with strong gravitational lensing and polarised radio sources
od: Ndiritu, S., i dr.
Izdano: (2024)

Investigation of mass substructure in gravitational lens system SDP.81 with ALMA long-baseline observations
od: Stacey, H. R., i dr.
Izdano: (2025)

A million-solar-mass object detected at cosmological distance using gravitational imaging
od: Powell, D. M., i dr.
Izdano: (2025)

An extended and extremely thin gravitational arc from a lensed compact symmetric object at redshift 2.059
od: McKean, J. P., i dr.
Izdano: (2025)

Latest developments in wide-field VLBI
od: Radcliffe, Jack F., i dr.
Izdano: (2025)

Clusternets: A deep learning approach to probe clustering dark energy
od: Chegeni, Amirmohammad, i dr.
Izdano: (2023)

Angular complexity in strong lens substructure detection
od: O'Riordan, Conor M., i dr.
Izdano: (2023)

The effects of image augmentations when training machine learning models in astronomy
od: Butterworth, Leon H., i dr.
Izdano: (2026)

A generalizable method for estimating meteor shower false positives
od: Shober, Patrick M., i dr.
Izdano: (2024)

A short review on joint weak and strong cluster lens-mass reconstruction
od: Normann, Ben David, i dr.
Izdano: (2024)

Complex angular structure of three elliptical galaxies from high-resolution ALMA observations of strong gravitational lenses
od: Stacey, H. R., i dr.
Izdano: (2024)

Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
od: Hesar, Fatemeh Fazel, i dr.
Izdano: (2026)

TEGLIE: Transformer encoders as strong gravitational lens finders in KiDS
od: Grespan, Margherita, i dr.
Izdano: (2024)

Halo Occupation Distribution of Quasars: Dependence on Luminosity, Redshift, Black Hole Mass and Feedback Modes
od: Chowdhary, Anirban, i dr.
Izdano: (2025)

Detecting false positives with PLATO using double-aperture photometry and centroid shifts
od: Gutiérrez-Canales, F., i dr.
Izdano: (2025)

The Jackknife method as a new approach to validate strong lens mass models
od: Nishida, Shun, i dr.
Izdano: (2025)

HOLISMOKES XVI: Lens search in HSC-PDR3 with a neural network committee and post-processing for false-positive removal
od: Schuldt, S., i dr.
Izdano: (2025)

Using Convolutional Neural Networks to Search for Strongly Lensed Quasars in KiDS DR5
od: He, Zizhao, i dr.
Izdano: (2024)

The SLACS strong lens sample, debiased
od: Sonnenfeld, Alessandro
Izdano: (2024)

Time-Delay Cosmography: Measuring the Hubble Constant and other cosmological parameters with strong gravitational lensing
od: Birrer, S., i dr.
Izdano: (2022)

Improved photometric redshift estimations through self-organising map-based data augmentation
od: Zhang, Yun-Hao, i dr.
Izdano: (2025)

Inferring the density, spin-temperature and neutral-fraction fields of HI from its 21-cm brightness temperature field using machine learning
od: Bidenko, Bohdan, i dr.
Izdano: (2024)

Galaxy lens reconstruction based on strongly lensed gravitational waves: similarity transformation degeneracy and mass-sheet degeneracy
od: Poon, Jason S. C., i dr.
Izdano: (2024)

Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data
od: Euclid Collaboration, i dr.
Izdano: (2025)

Radio imaging of gravitationally lensed radio-quiet quasars
od: Jackson, Neal, i dr.
Izdano: (2024)

A grand-design spiral galaxy with an ordered magnetic field at redshift 2.6 as resolved with ALMA and gravitational lensing
od: de Roo, W., i dr.
Izdano: (2024)

Confirming HSC strong lens candidates with DESI Spectroscopy. I. Project overview and first results
od: Shu, Yiping, i dr.
Izdano: (2025)

Identification of false positive double-lined spectroscopic binaries in LAMOST-MRS data due to moonlight contamination
od: Wang, Zhoulin, i dr.
Izdano: (2026)

Contrastive Learning of Extragalactic Stellar Streams: Sculpting a Latent Space of Representations with DES DR2 Photometry
od: Benitez-Walz, Ernesto, i dr.
Izdano: (2026)

Spectral modelling of Cygnus A between 110 and 250 MHz. Impact on the LOFAR 21-cm signal power spectrum
od: Ceccotti, E., i dr.
Izdano: (2025)

HOLISMOKES -- XI. Evaluation of supervised neural networks for strong-lens searches in ground-based imaging surveys
od: Canameras, R., i dr.
Izdano: (2023)

Revised LOFAR upper limits on the 21-cm signal power spectrum at $\mathbf{z\approx9.1}$ using Machine Learning and Gaussian Process Regression
od: Acharya, Anshuman, i dr.
Izdano: (2024)

A false positive transit candidate for EPIC 211101996 from K2 and TESS data identified as background eclipsing binary Gaia DR3 66767847894609792
od: Heller, René, i dr.
Izdano: (2024)

Impacts of source morphology on the detectability of subhalos in strong lenses
od: Hughes, Tyler J., i dr.
Izdano: (2024)

Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems
od: Euclid Collaboration, i dr.
Izdano: (2026)

To detect strong nugget with an acoustic array
od: Qi, Haoyang, i dr.
Izdano: (2025)

Photometric classification of supernovae detected by the Zwicky Transient Facility using noise augmentation
od: Townsend, A., i dr.
Izdano: (2026)

Exoplanet transit search at the detection limit: detection and false alarm vetting pipeline
od: Robnik, Jakob, i dr.
Izdano: (2026)