Central black holes in ASTRID and TNG300 follow a tight, redshift-invariant M_BH–M_⋆ relation from z=2 to 0.5; departures mark merger-driven high-mass quenchers, tidally stripped overmassive satellites, and undermassive wanderers.
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2 Pith papers cite this work, alongside 73 external citations. Polarity classification is still indexing.
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Machine learning on simulated images identifies that flux eruption events cause more diffuse, polarized, lower-flux millimeter emission with decreased Q-U loop rotation rate, achieving ~80% accuracy with random forests on summary statistics.
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Tracing black hole and galaxy growth across environments since cosmic noon
Central black holes in ASTRID and TNG300 follow a tight, redshift-invariant M_BH–M_⋆ relation from z=2 to 0.5; departures mark merger-driven high-mass quenchers, tidally stripped overmassive satellites, and undermassive wanderers.
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Identifying Observational Signatures of Flux Eruption Events in Supermassive Black Hole Accretion Flows with Machine Learning
Machine learning on simulated images identifies that flux eruption events cause more diffuse, polarized, lower-flux millimeter emission with decreased Q-U loop rotation rate, achieving ~80% accuracy with random forests on summary statistics.