Morphology-dependent M_bh-σ0 relations are reported: shallow (2.5-3.1) for dust-poor S0 galaxies and steep (7.8) for massive ellipticals, using new SCOPE Bayesian regression on 137 galaxies.
Title resolution pending
8 Pith papers cite this work. Polarity classification is still indexing.
8
Pith papers citing it
years
2026 8verdicts
UNVERDICTED 8representative citing papers
Realistic black hole dynamics in Astrid reduce baryonic suppression of the matter power spectrum at low redshifts compared to repositioning schemes used in other simulations.
Machine learning on cosmological simulations achieves 91-94% accuracy classifying over-massive versus under-massive SMBH growth regimes from LSST photometry, with 83-89% cross-simulation transfer accuracy driven primarily by host galaxy colors.
Semi-analytical models show AGN disks produce repeated BBH mergers with a high-mass tail beyond the pair-instability gap, more efficiently at low viscosity, with spin and mass-ratio signatures that can match events like GW190521.
Simulations show heavy-seed formation with BH-BH mergers or Bondi accretion under weak feedback can assemble 10^6-10^7 solar mass black holes at z greater than or equal to 9.
In TNG50, compact dwarf satellites (log M_star 8.4-9.2) form via DM-rich gas inflows in low-merger environments, tidal stripping for DM-poor cases, and ram-pressure starbursts for some metal-rich ones.
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.
A review outlining radio methods for dual AGN and SMBHB detection and the role of SKAO in enabling comprehensive studies across cosmic time.
citing papers explorer
-
Galaxy morphology dependent (black hole mass)-(velocity dispersion) relations: implications for gravitational wave forecasts and cosmological simulations
Morphology-dependent M_bh-σ0 relations are reported: shallow (2.5-3.1) for dust-poor S0 galaxies and steep (7.8) for massive ellipticals, using new SCOPE Bayesian regression on 137 galaxies.
-
Matter Clustering in Astrid: Reduced Baryonic Suppression from Realistic Black Hole Dynamics
Realistic black hole dynamics in Astrid reduce baryonic suppression of the matter power spectrum at low redshifts compared to repositioning schemes used in other simulations.
-
Classifying Supermassive Black Hole Growth Regimes to Observables Across Cosmological Simulations with Forecasts for LSST
Machine learning on cosmological simulations achieves 91-94% accuracy classifying over-massive versus under-massive SMBH growth regimes from LSST photometry, with 83-89% cross-simulation transfer accuracy driven primarily by host galaxy colors.
-
AGN-driven BBH mergers: Black hole populations and hierarchical growth across the AGN parameter space
Semi-analytical models show AGN disks produce repeated BBH mergers with a high-mass tail beyond the pair-instability gap, more efficiently at low viscosity, with spin and mass-ratio signatures that can match events like GW190521.
-
Learning the Universe at High Redshifts: Impact of Accretion Modeling on Early Black Hole Growth
Simulations show heavy-seed formation with BH-BH mergers or Bondi accretion under weak feedback can assemble 10^6-10^7 solar mass black holes at z greater than or equal to 9.
-
Satellite compaction pathways: environmental drivers shaping dwarf galaxy corpulence in the TNG50 simulation
In TNG50, compact dwarf satellites (log M_star 8.4-9.2) form via DM-rich gas inflows in low-merger environments, tidal stripping for DM-poor cases, and ram-pressure starbursts for some metal-rich ones.
-
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.
-
Dual AGN and Multiple SMBH Systems in the Era of SKAO
A review outlining radio methods for dual AGN and SMBHB detection and the role of SKAO in enabling comprehensive studies across cosmic time.