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This study presents extensions to the RIFT parameter estimation pipeline designed to analyze gravitational-wave signals from merging compact objects detected by third-generation detectors like Einstein Telescope and Cosmic Explorer. The method addresses computational challenges posed by extremely high signal-to-noise ratios (SNRs reaching 1000+) and detector-specific effects from Earth's rotation and large detector sizes. The researchers successfully demonstrated their approach by recovering parameters from simulated binary neutron star mergers, achieving sky localization of 0.0008 square degrees within minutes using a single GPU.
Why it matters
Third-generation gravitational-wave detectors will detect signals with unprecedented sensitivity, requiring new computational methods to extract physical parameters accurately. This work enables rapid, precise localization of merger events, which is critical for coordinating electromagnetic telescopes to observe accompanying light emissions from neutron star collisions and advancing multi-messenger astronomy.
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⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Abstract: Interpretation of compact binary signals observed by third-generation gravitational-wave detectors is complicated by their high signal-to-noise ratios, often reaching hundreds to thousands, and by time- and frequency-dependent detector responses arising from Earth’s rotation and the detectors’ large physical extent. Building on prior work for LISA, we implement generic, robust extensions of the RIFT parameter estimation pipeline that enable interpretation of these sources using any existing waveform model, without recourse to intermediate pretrained data products like reduced-order approximations or normalizing flows. We demonstrate end-to-end recovery of finite-size binary-neutron-star injections in a three-site next-generation network to $mathrm{SNR}=1000$, localizing the source’s extrinsic parameters to $0.8times10^{-3},mathrm{deg}^2$ in minutes on a single GPU.
Source: Scaling RIFT 1: Extending RIFT to third-generation gravitational-wave analyses