Radio Galaxy Zoo data release 1: 100185 radio source classifications from the FIRST and ATLAS surveys
OI Wong, AF Garon, MJ Alger, L Rudnick… - Monthly Notices of …, 2025 - academic.oup.com
Radio galaxies can extend far beyond the stellar component of their originating host
galaxies, and their radio emission can consist of multiple discrete components. Furthermore …
galaxies, and their radio emission can consist of multiple discrete components. Furthermore …
Identification of 4876 Bent-tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection
B Lao, H Andernach, X Yang, X Zhang… - The Astrophysical …, 2025 - iopscience.iop.org
Bent-tail radio galaxies (BTRGs) are characterized by bent radio lobes. This unique shape is
mainly caused by the movement of the galaxy within a cluster, during which the radio jets …
mainly caused by the movement of the galaxy within a cluster, during which the radio jets …
Self-supervised learning on MeerKAT wide-field continuum images
Context. Self-supervised learning (SSL) applied to natural images has demonstrated a
remarkable ability to learn meaningful, low-dimension representations without labels …
remarkable ability to learn meaningful, low-dimension representations without labels …
WALLABY Pilot Survey: HI source-finding with a machine learning framework
L Wang, O Wong, T Westmeier, C Murugeshan… - arxiv preprint arxiv …, 2024 - arxiv.org
The data volumes generated by the WALLABY atomic Hydrogen (HI) survey using the
Australiian Square Kilometre Array Pathfinder (ASKAP) necessitate greater automation and …
Australiian Square Kilometre Array Pathfinder (ASKAP) necessitate greater automation and …
RG-CAT: Detection pipeline and catalogue of radio galaxies in the EMU pilot survey
We present source detection and catalogue construction pipelines to build the first catalogue
of radio galaxies from the 270$\rm deg^ 2$ pilot survey of the Evolutionary Map of the …
of radio galaxies from the 270$\rm deg^ 2$ pilot survey of the Evolutionary Map of the …
YOLO-CIANNA: Galaxy detection with deep learning in radio data. I. A new YOLO-inspired source detection method applied to the SKAO SDC1
D Cornu, P Salomé, B Semelin, A Marchal… - arxiv preprint arxiv …, 2024 - arxiv.org
The upcoming Square Kilometer Array (SKA) will set a new standard regarding data volume
generated by an astronomical instrument, which is likely to challenge widely adopted data …
generated by an astronomical instrument, which is likely to challenge widely adopted data …
Self-supervised contrastive learning of radio data for source detection, classification and peculiar object discovery
New advancements in radio data post-processing are underway within the SKA precursor
community, aiming to facilitate the extraction of scientific results from survey images through …
community, aiming to facilitate the extraction of scientific results from survey images through …
A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection
We present a novel multimodal dataset developed by expert astronomers to automate the
detection and localisation of multi-component extended radio galaxies and their …
detection and localisation of multi-component extended radio galaxies and their …
Affordable Small Radio Telescope (ASRT) for Solar Observation
S Shilaskar, S Sawant… - 2024 15th International …, 2024 - ieeexplore.ieee.org
The goal of the project is to construct an Affordable Small Radio Telescope (ASRT) that will
allow students to participate in radio astronomy. With components from Direct-to-Home …
allow students to participate in radio astronomy. With components from Direct-to-Home …
Mitigating Overfitting in Neural Net Classification of Radio Galaxies through Wavelet Analysis
A Liu, K Sabhanayakam - 2024 - preprints.org
Over the last few decades, advancements in astrophysics have been closely linked to the
development of powerful machine-learning models that can accurately classify celestial …
development of powerful machine-learning models that can accurately classify celestial …