Multiple Machine Learning as a Powerful Tool for Star Cluster Analysis
This work proposes a multiple machine learning method (MMLM) aiming to improve the accuracy and robustness of the analysis of star clusters. The MMLM performance is evaluated by applying it to the reanalysis of an old binary cluster candidate—comprised of NGC 1605a and NGC 1605b—found by D. Camargo...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | The Astronomical Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-3881/ade987 |
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