3 citations · 3 across the 2 of their papers we have counts for
3 papers
Gravitational Wave Bias in IllustrisTNG300 from Machine-Learned Population-Synthesis Calibrated Merger Rates
Dorsa Sadat Hosseini, Taisiia Karasova, Nikshay Chugh +2
The large scale clustering of gravitational wave (GW) sources offers an independent probe of cosmology and compact-binary astrophysics. Interpreting future GW clustering measuremen…
Modeling Gravitational Wave Bias from 3D Power Spectra of Spectroscopic Surveys
Dorsa Sadat Hosseini, Amir Dehghani, J. Leo Kim +3
We present a framework for relating gravitational wave (GW) sources to the astrophysical properties of spectroscopic galaxy samples. We show how this can enable using clustering me…
The Gravitational Wave Bias Parameter from Angular Power Spectra: Bridging Between Galaxies and Binary Black Holes
Amir Dehghani, J. Leo Kim, Dorsa Sadat Hosseini +3
This study presents the modeling of the gravitational wave (GW) bias parameter by bridging a connection between simulated GW sources and galaxies in low redshift galaxy surveys 2MP…