Published September 17, 2024
| Version 1.0
Dataset
Open
FRGADB - FIRST Radio Galaxy Anomaly Detection Benchmark
Contributors
Supervisor (2):
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1.
Stellenbosch University
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2.
University of Pretoria
Description
This dataset is a combination of samples from the MiraBest, FRGMRC and LRG catalogues. It is intended to serve as a benchmark for models' performance with respect to anomalous source detection in radio astronomy.
Files
FRGADB.zip
Files
(268.7 MB)
| Name | Size | Download all |
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md5:254b440d3846caba242b020e70c3ddb5
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268.7 MB | Preview Download |
Additional details
References
- Ma, Z., Xu, H., Zhu, J., Hu, D., Li, W., Shan, C., Zhu, Z., Gu, L., Li, J., Liu, C. and Wu, X., 2019. A machine learning based morphological classification of 14,245 radio agns selected from the best–heckman sample. The Astrophysical Journal Supplement Series, 240(2), p.34.
- Kevin Brand (2023) "FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue". Zenodo. doi: 10.5281/zenodo.7645530.
- Miraghaei, H. and Best, P.N., 2017. The nuclear properties and extended morphologies of powerful radio galaxies: the roles of host galaxy and environment. Monthly Notices of the Royal Astronomical Society, 466(4), pp.4346-4363.