Machine Learning Method for Predicting the Merge and Morphology of Galaxies through Near-Infrared Spectroscopy
Astronomy is experiencing rapid growth in the size and complexity of data. This reinforces the development of data-driven science as a useful complement to the current model of model-based data analysis. In spite of this, traditional merger analysis of catalogs is mostly done through visual inspecti...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Damghan university
2022-04-01
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| Series: | Iranian Journal of Astronomy and Astrophysics |
| Subjects: | |
| Online Access: | https://ijaa.du.ac.ir/article_298_81a2e5b0f87c6a38534099fa65d19bfb.pdf |
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