Hunting Exoplanets by Direct Imaging with Python
summary
Describes methods for direct imaging of exoplanets, explaining how adaptive optics and coronagraphy plus specialized image-processing algorithms enable detections. Presents Python-based open-source tools (notably the VIP library) and the author's work applying supervised machine learning and neural networks to detect planets in very noisy images, and discusses running a community data challenge to compare image-processing algorithms.
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chapters (8)
- 0:00Start
- 6:47Image processing for exoplanet detection
- 7:25Image processing pipeline
- 8:41Algorithms for direct imaging of exoplanets
- 10:11VIP - Vortex Image Processing package
- 12:40Direct detection of exoplanets
- 14:40Supervised learning
- 19:27An exciting time to be doing science, but...
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