Investigating Supermassive Blackhole Merger Populations with LISA

We investigate the relationship between the properties of merging black hole populations and the gravitational wave signals that LISA is expected to detect. LISA is particularly sensitive to the millihertz range of the GW spectrum, where supermassive black hole mergers are a key science focus. By drawing connections between large-scale cosmological simulations and models of LISA's ability to detect and characterize massive black hole mergers, we can produce results such as event rate estimates and assess LISA's ability to distinguish between various cosmological models. To achieve this, we consider a population of black hole mergers using the TNG simulations, investigating the connection between the properties of merger events and the resulting GW signals. We also estimate the signal-to-noise ratio (SNR) of LISA detections for each merger using the LISA Analysis Tools. In this project, we generate the waveforms from the inspiral to the merger and ringdown phases. Using these waveforms, we accurately calculate the SNR for different spin assumptions. We also assess the detectability of different mergers with LISA based on the mass and redshift of the black holes, incorporating the galactic foreground noise into our analysis.