Middle-aged PWNe exhibit diverse reverberation-phase evolution but converge to Sedov-like states; 2D instabilities increase apparent size by up to 50% without changing global dynamics, supporting 1D model robustness.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
This review describes the IACT event reconstruction pipeline and the role of machine learning for classification and regression, highlighting timing features and ensemble methods as improvements over baseline approaches.
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Modelling the Dynamics of Middle-Aged Pulsar Wind Nebulae in the Reverberation Phase
Middle-aged PWNe exhibit diverse reverberation-phase evolution but converge to Sedov-like states; 2D instabilities increase apparent size by up to 50% without changing global dynamics, supporting 1D model robustness.
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Machine Learning for Event Reconstruction in Imaging Atmospheric Cherenkov Telescopes
This review describes the IACT event reconstruction pipeline and the role of machine learning for classification and regression, highlighting timing features and ensemble methods as improvements over baseline approaches.