Exploring Effects of Modified Machine Learning Pipelines of Astrochemical Inventories
Machine learning pipelines for astrochemical inventories have been introduced as a useful addition to the astrochemist toolbox, having first been used to model and predict column densities in the Taurus Molecular Cloud (TMC-1). Rapid changes in the field of machine learning have provided new tools i...
| 发表在: | The Astrophysical Journal |
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| Main Authors: | , , , , , |
| 格式: | 文件 |
| 语言: | 英语 |
| 出版: |
IOP Publishing
2025-01-01
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| 主题: | |
| 在线阅读: | https://doi.org/10.3847/1538-4357/adc80b |