In the SUBWAYS sample, UFO-hosting AGN show larger radio extent and steep spectra consistent with wind-driven shocks, while ~80% of sources show outflow-like radio emission.
2025 (Preprint 2506.19166)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
A neural-network-accelerated hierarchical Bayesian pipeline is developed and validated on a phenomenological model to constrain EMRI population parameters from LISA data.
citing papers explorer
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Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds
In the SUBWAYS sample, UFO-hosting AGN show larger radio extent and steep spectra consistent with wind-driven shocks, while ~80% of sources show outflow-like radio emission.
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Constraints on the extreme mass-ratio inspiral population from LISA data
A neural-network-accelerated hierarchical Bayesian pipeline is developed and validated on a phenomenological model to constrain EMRI population parameters from LISA data.