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.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Applies simulation-informed stellar kinematic criteria to archival IFU data to produce a ranked list of nearby massive galaxies as potential SMBHB hosts for PTA follow-up.
citing papers explorer
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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.
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Predicting Potential Host Galaxies of Supermassive Black Hole Binaries Based on Stellar Kinematics in Archival IFU Surveys
Applies simulation-informed stellar kinematic criteria to archival IFU data to produce a ranked list of nearby massive galaxies as potential SMBHB hosts for PTA follow-up.