Table · dataset · 2025
Attributes of DESI DR9 spiral galaxies
Listed in IVOA Registry (Virtual Observatory)
The gas-phase metallicity is a crucial parameter for understanding the evolution of galaxies.
Description
Considering that the number of multi-band galaxy images can typically reach tens of millions, using these images as input data for predicting gas-phase metallicity has become a feasible method. However, the accuracy of metallicity estimates from images is relatively limited.
To solve this problem, we propose Galaxy Parameter Measurement Residual Network (GPM-ResNet), a deep learning method designed to predict gas-phase metallicity from photometric images of DESI. The parameter of photometric images are labeled with gas-phase metallicity values, which are obtained through spectroscopic methods with high accuracy. These labeled images serve as the training dataset for the GPM-ResNet method.
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GPM-ResNet mainly consists of two modules: a multi-order feature extractor and a parameter generator, enhancing the ability to effectively extract features related to gas-phase metallicity from photometric images. The {sigma} of Zpred-Ztrue is 0.12dex, which significantly outperforms the predicted results of the second-order polynomial ({sigma}=0.16dex) and the third-order polynomial ({sigma}=0.16dex) fitted using the color-metallicity relation on the same dataset.
To further emphasize the superiority of GPM-ResNet, we analyze the predicted results on various network architectures, galaxy sizes, image resolutions, and wavelength bands of images. Moreover, we explore the Mass-Metallicity relation and recover the relation successfully by utilizing the predicted values Zpred. Finally, we apply GPM-ResNet to predict the gas-phase metallicity of spiral (EXP) galaxies observed by DESI, resulting in a comprehensive catalog containing 5095815 data.
Links
Where it is published
- Reference page cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/694/A271 ↗
landing page · from IVOA Registry
Documentation and papers
- ADS 2025A&A...694A.271C ui.adsabs.harvard.edu/abs/2025A%26A...694A.271C ↗
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/694/a271 ↗
catalogue entry · from IVOA Registry
Topics
- From keywords
- Astronomy & Astrophysics
- Inferred from text
- Image 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IVOA Registry (Virtual Observatory) | ivo://cds.vizier/j/a+a/694/a271 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · IVOA Registry | connector:ivoa_registry@1.0.0 | |
| 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 |