Galaxy Classification Using EWGC
The Enhanced Wide-field Galaxy Classification Network (EWGC) is a novel architecture designed to classify spiral and elliptical galaxies using Wide-field Infrared Survey Explorer (WISE) images. The EWGC achieves an impressive classification accuracy of 90.02%, significantly outperforming the previously developed WGC network and underscoring its superior performance in galaxy morphology classification. Remarkably, the network demonstrates a consistent accuracy of 90.02% when processing both multi-target and single-target images. Such robustness indicates the EWGC’s versatility and potential for various applications in galaxy classification tasks.
Authors
- A-Li Luo (ORCID: https://orcid.org/0000-0001-7865-2648)
- Bo Qiu (ORCID: https://orcid.org/0000-0002-0191-3413)
- Jianwei Zhou (ORCID: https://orcid.org/0000-0002-2033-8864)
- Yunyan Nie (ORCID: https://orcid.org/0009-0003-3937-0770)
- Xiaodong Luan (ORCID: https://orcid.org/0000-0002-3985-2476)
- Chong Luo
- Zhi-Ren Pan (ORCID: https://orcid.org/0009-0008-6478-9238)
Institutions
- Hebei University of Technology (CN)
- National Astronomical Observatories (CN)
- University of Chinese Academy of Sciences (CN)
- Shanghai Ocean University (CN)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Universe
- Published
- 2024-10-12
- DOI
- https://doi.org/10.3390/universe10100394
- Primary Topic
- Astronomical Observations and Instrumentation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation