Table · dataset · 2026
Galaxy clusters in the LoTSS-DR3
Listed in IVOA Registry (Virtual Observatory)
The third data release (DR3) of the LOFAR Two-metre Sky Survey (LoTSS) provides an unprecedented view of the northern sky at 144MHz, comprising more than 13 million radio sources.
Description
While compact sources can be efficiently identified with automated software packages, the detection of diffuse radio emission associated with galaxy clusters still requires dedicated processing and visual inspection. Given the scale of current and forthcoming radio surveys, automated approaches based on artificial intelligence are becoming essential to identify the most interesting targets.
We aim to develop an automated pipeline to construct a catalogue of galaxy clusters hosting diffuse radio emission from LoTSS-DR3 20arcsec images. The pipeline is designed to provide both the probability that a cluster hosts diffuse emission and an interpretable image of its shape and morphology. We employ Radio U-Net, a convolutional neural network optimised for image segmentation (i.e. pixel-level identification) of diffuse radio emission.
Read the rest (3 more)
To associate detected emission with individual clusters, we combine the network output with positional, mass, and redshift information from four X-ray- and Sunyaev-Zeldovich-selected cluster catalogues, resulting in a merged sample of 3822 clusters covered by the LoTSS-DR3. We produce a pixel-level segmentation map of the full LoTSS-DR3 and a quantitative indicator (R value) for the presence of diffuse radio emission in each cluster.
This enables the selection of sub-samples with specific properties for targeted follow-up or statistical studies. As a demonstration, we identify a sub-sample of 357 clusters selected at the highest network accuracy (76%), and we show some examples of newly detected systems. The detection fraction of diffuse radio sources in the four catalogues increases with the clusters' mass and redshift.
This work establishes a flexible and scalable framework for deep-learning-based searches for diffuse radio emission in new-generation wide-area radio surveys.
Links
Where it is published
- Reference page cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/710/A219 ↗
landing page · from IVOA Registry
Documentation and papers
- ADS 2026A&A...710A.219S ui.adsabs.harvard.edu/abs/2026A%26A...710A.219S ↗
publication · from IVOA Registry
Catalogue records · 2
- VOResource record dc.g-vo.org/oai.xml?verb=GetRecord&metadataPrefix=ivo_vor&identifier=ivo%3… ↗
metadata API · from IVOA Registry
- Registry record (GAVO) dc.g-vo.org/I/cds.vizier/j/a%2Ba/710/a219 ↗
catalogue entry · from IVOA Registry
Topics
- From keywords
- Astronomy & Astrophysics
- Inferred from text
- Astronomical sciences 72% · Image 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IVOA Registry (Virtual Observatory) | ivo://cds.vizier/j/a+a/710/a219 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| concepts[field].anzsrc:group:5101 | enrichment · IVOA Registry | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].local:field:astronomy | mapping · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · IVOA Registry | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · IVOA Registry | connector:ivoa_registry@1.0.0 | rr.resource.res_description |
| license_text | source · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| publication_date | source · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| title | source · IVOA Registry | connector:ivoa_registry@1.0.0 | rr.resource.res_title |
| updated_date | source · IVOA Registry | connector:ivoa_registry@1.0.0 |