VizieR Online Data Catalog: Candidate Cluster Members with Deep learning (Angora+, 2020)
Abstract
The catalogue consists of 1184 cluster members, 812 of them are spectroscopically classified, while the remaining sample (372) are candidate members identified by a Convolutional Neural Network, with a limiting magnitude of 25 AB in F814W filter, and membership probability. Members have been identified in the four galaxy clusters RX J2248.7-4431 (AS 1063), MACS J0416.1-2403, MACS J1206.2-0847, MACS J1149.5+2223.
(1 data file).- Publication:
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VizieR Online Data Catalog
- Pub Date:
- September 2020
- DOI:
- 10.26093/cds/vizier.36430177
- Bibcode:
- 2020yCat..36430177A
- Keywords:
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- Clusters: galaxy;
- Positional data