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Loading contentThe computational layer of astronomy — the machine-learning methods, the astronomical applications (galaxy morphology, photometric redshifts, real-time alert classification), and the data-engineering workflows.
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| Name | Type | ID |
|---|---|---|
| Anomaly Detection | Machine-learning method | ml_method:anomaly-detection |
| Benchmark Datasets | Data-engineering workflow | ml_workflow:benchmark-datasets |
| Classification | Machine-learning method | ml_method:classification |
| Clustering | Machine-learning method | ml_method:clustering |
| Feature Extraction | Data-engineering workflow | ml_workflow:feature-extraction |
| Foundation Models | Machine-learning method | ml_method:foundation-models |
| Galaxy Morphology Classification | Astronomical ML application | ml_application:galaxy-morphology-classification |
| Model Evaluation | Data-engineering workflow | ml_workflow:model-evaluation |
| Photometric Redshifts | Astronomical ML application | ml_application:photometric-redshifts |
| Real-Time Alert Classification | Astronomical ML application | ml_application:real-time-alert-classification |
| Regression | Machine-learning method | ml_method:regression |
| Representation Learning | Machine-learning method | ml_method:representation-learning |
| Self-Supervised Learning | Machine-learning method | ml_method:self-supervised-learning |
| Source Extraction | Astronomical ML application | ml_application:source-extraction |
| Strong Lens Finding | Astronomical ML application | ml_application:strong-lens-finding |
| Supernova Classification | Astronomical ML application | ml_application:supernova-classification |
| Training Datasets | Data-engineering workflow | ml_workflow:training-datasets |
| Transit Detection | Astronomical ML application | ml_application:transit-detection |
Facts on this topic will be cited from these primary and reference sources.
Mission data, planetary science, space telescopes, and public-domain imagery.
Most NASA-produced imagery is in the public domain; individual items are checked for usage terms before publication.
Ground-based optical/infrared observatory data and imagery.