Table · dataset · 2025
New planetary nebula candidates
Listed in IVOA Registry (Virtual Observatory)
We have developed tools based on deep learning and artificial intelligence (AI) to search extant narrow-band wide-field H{alpha} surveys of the Galactic Plane for elusive planetary nebulae (PNe) hidden in dense star fields towards the Galactic centre.
Description
They are faint, low-surface-brightness, usually resolved sources, which had not discovered by previous automatic searches that depend on photometric data for point-like sources.
These sources are very challenging to locate by traditional visual inspection in such crowded fields and many have been missed. We have successfully adopted a novel "Swin-Transformer" AI algorithm, which we describe in detail in the preceding Techniques paper (Paper I, Liu et al., arXiv:2103.14030). Here, we present preliminary results from our first spectroscopic follow-up run for 31 top-quality PN candidates found by the algorithm from the high-resolution H{alpha} survey VPHAS+.
Read the rest (2 more)
This survey has not yet undergone extensive manual, systematic searching. Our candidate PNe were observed with the SpUpNIC spectrograph on the 1.9m telescope at the South African Astronomical Observatory (SAAO) in June 2023. We performed standard IRAF spectroscopic reduction, followed by our normal HASH PN identification and classification procedures.
Our reduced spectra confirmed that these candidates include 22 true, likely, and possible PNe (70.97%), 3 emission-line galaxies, 2 emission-line stars, 2 late-type star contaminants, and 2 other H{alpha} sources including a newly identified detached fragment of supernova remnants (SNRs) RCW 84. We present the imaging and spectral data of these candidates and a preliminary analysis of their properties. These data provide strong input for evaluating and refining the behaviour of the AI algorithm when searching for PNe in wide-field H{alpha} surveys.
Links
Where it is published
- Reference page cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/692/A103 ↗
landing page · from IVOA Registry
Documentation and papers
- ADS 2024A&A...692A.103L ui.adsabs.harvard.edu/abs/2024A%26A...692A.103L ↗
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/692/a103 ↗
catalogue entry · from IVOA Registry
Topics
- Stated by source
- Optical
- From keywords
- Astronomy & Astrophysics
- Inferred from text
- Imaging 75% · Stellar astronomy and planetary systems 78%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IVOA Registry (Virtual Observatory) | ivo://cds.vizier/j/a+a/692/a103 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| concepts[field].anzsrc:field:510109 | enrichment · IVOA Registry | taxonomy-embedding@1.1.0 | title+keywords+description (78%) |
| concepts[field].local:field:astronomy | mapping · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| concepts[modality].ivoa_waveband:optical | source · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| concepts[modality].local:modality:imaging | 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 |