Simulation study proposes that weakly rotating, gas-rich cosmic wallflowers at high redshift are natural proto-globular cluster candidates based on kinematics and densities.
2021b, MNRAS
6 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 6representative citing papers
New JWST and Keck data on off-nuclear TDE 2025abcr show shifting emission-line velocities from a changing reprocessing layer and an IR power-law slope of -2.13 that is consistent with either reprocessing gas or a young stellar cluster of mass ~10^7.6 solar masses.
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.
JWST NIRSpec observations of high-redshift galaxies reveal spatial offsets in ionization structure for 12 out of 90 sources, proposed as signatures of wandering black holes.
LILA can detect IMBH binaries at redshifts 20-30, IMRIs, and provide months-to-years early warnings with high-SNR events for gravity tests.
A large collaboration compiles and compares merger rate predictions for massive black holes across multiple galaxy formation models to forecast LISA detections and quantify uncertainties.
citing papers explorer
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Too shy to spin? Cosmic wallflowers as proto-globular clusters
Simulation study proposes that weakly rotating, gas-rich cosmic wallflowers at high redshift are natural proto-globular cluster candidates based on kinematics and densities.
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Hunting Wandering 3<z<8 Black Holes: via Spatial Offsets in Ionization Ratio and Continuum Emission
JWST NIRSpec observations of high-redshift galaxies reveal spatial offsets in ionization structure for 12 out of 90 sources, proposed as signatures of wandering black holes.
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The LISA Astrophysics MBHcatalogues Project: A comparison of predictions of simulated massive black hole binaries
A large collaboration compiles and compares merger rate predictions for massive black holes across multiple galaxy formation models to forecast LISA detections and quantify uncertainties.