most citedSystematic biases in parameter estimation on LISA binaries. II. The effect of excluding higher harmonics for spin-aligned, high-mass binaries

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gr-qc2026★ 1 cited

Systematic biases in parameter estimation on LISA binaries. II. The effect of excluding higher harmonics for spin-aligned, high-mass binaries

Sophia Yi, Francesco Iacovelli, Emanuele Berti +4

The Laser Interferometer Space Antenna (LISA) will observe massive black hole binaries (MBHBs) with astoundingly high signal-to-noise ratio, leaving parameter estimation with these…

gr-qc2025★ 1 cited

Modeling the frequency-domain ringdown amplitude of comparable-mass mergers with greybody factors

Romeo Felice Rosato, Sophia Yi, Emanuele Berti +1

It was recently shown that, in a binary coalescence, the greybody factor of the remnant black hole modulates the post-merger ringdown signal. In this work, we demonstrate that a si…

gr-qc2025

Accuracy of ringdown models calibrated to numerical relativity simulations

Francesco Crescimbeni, Gregorio Carullo, Emanuele Berti +3

The ''ringdown'' stage of gravitational-wave signals from binary black hole mergers, mainly consisting of a superposition of quasinormal modes emitted by the merger remnant, is a k…

gr-qc2025

Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation

Digvijay Wadekar, Arush Pimpalkar, Mark Ho-Yeuk Cheung +9

We introduce a machine learning (ML) framework called for improving the sensitivity of gravitational wave search pipelines. Typically, search pipelines only use a s…

gr-qc2025

Searching for intermediate mass ratio binary black hole mergers in the third observing run of LIGO-Virgo-KAGRA

Mark Ho-Yeuk Cheung, Digvijay Wadekar, Ajit Kumar Mehta +6

Intermediate mass ratio inspirals (IMRIs) of binary black holes with mass ratios are astrophysically interesting sources of gravitational waves. Me…