activity
20222026
most citedScience with the Einstein Telescope: a comparison of different designs

402 citations · 674 across the 25 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

gr-qc2025★ 3 cited

GW231123: Overlapping Gravitational Wave Signals?

Qian Hu, Harsh Narola, Jef Heynen +4

The recently discovered gravitational wave event GW231123 was interpreted as the merger of two black holes with a total mass of 190-265 , making it the heaviest such merge…

gr-qc2025

Bayesian Calibration of Gravitational-Wave Detectors Using Null Streams Without Waveform Assumptions

Isaac C. F. Wong, Francesco Cireddu, Milan Wils +4

We introduce a Bayesian null-stream method to constrain calibration errors in closed-geometry gravitational-wave (GW) detector networks. Unlike prior methods requiring electromagne…

astro-ph.HE2025

Strong gravitational-wave lensing posterior odds

Otto A. Hannuksela, K. Haris, Justin Janquart +4

Like light, gravitational waves are gravitationally lensed by intervening massive astrophysical objects, such as galaxies, clusters, black holes, and stars, resulting in a variety…

gr-qc2025★ 2 cited

Overlapping signals in next-generation gravitational wave observatories: A recipe for selecting the best parameter estimation technique

Tomasz Baka, Harsh Narola, Justin Janquart +3

Third-generation gravitational wave detectors such as Einstein Telescope and Cosmic Explorer will have significantly better sensitivities than current detectors, as well as a wider…

astro-ph.HE2025★ 15 cited

Multi-messenger Gravitational Lensing

Graham P. Smith, Tessa Baker, Simon Birrer +38

We introduce the rapidly emerging field of multi-messenger gravitational lensing - the discovery and science of gravitationally lensed phenomena in the distant universe through the…

gr-qc2025★ 97 cited

The Science of the Einstein Telescope

Adrian Abac, Raul Abramo, Simone Albanesi +485

Einstein Telescope (ET) is the European project for a gravitational-wave (GW) observatory of third-generation. In this paper we present a comprehensive discussion of its science ob…

gr-qc2025★ 4 cited

DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning

Tom Dooney, Harsh Narola, Stefano Bromuri +4

Gravitational wave (GW) detectors, such as LIGO, Virgo, and KAGRA, detect faint signals from distant astrophysical events. However, their high sensitivity also makes them susceptib…