Jet feedback in centrally concentrated clouds reduces star formation efficiency to 12-16% and yields cluster structures more consistent with observations than models without jets.
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Laser-sail picospacecraft swarms could deliver gigapixel imaging of Proxima b during near-relativistic flybys and detect signs of surface life or civilization.
The paper reviews ML applications for sequence modeling, pattern recognition, and generative Bayesian analysis to tackle heterogeneous data challenges in (exo)planetary science.
The paper provides a historical and technical overview of the SAOImageDS9 software, highlighting its features for astronomical data visualization and analysis.
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Machine Learning as a Transformative Tool for (Exo-)Planetary Science
The paper reviews ML applications for sequence modeling, pattern recognition, and generative Bayesian analysis to tackle heterogeneous data challenges in (exo)planetary science.