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

collaborators

26 papers

gr-qc2026

Advanced Virgo during the LIGO-Virgo-KAGRA fourth observing run

Virgo Collaboration, F Acernese, A Agapito +546

From April 10, 2024 to November 18, 2025 Advanced Virgo participated in the fourth observing run of the network of gravitational-wave detectors, together with Advanced LIGO and KAG…

astro-ph.IM2026

Time-Domain Synthesis of Gravitational-Wave Detector Glitches using Class-Conditional Derivative Generative Adversarial Networks

Tom Dooney, Mees de Boer, Harsh Narola +4

Gravitational-wave detectors such as LIGO, Virgo, and KAGRA are highly sensitive instruments susceptible to many noise sources. Short-duration transient noise events, known as glit…

gr-qc2026

Impact of the Einstein Telescope's duty cycle on the estimation of binary black holes parameters

Luca Negri, Thomas C. K. Ng, Thibeau Wouters +13

The geometry of the Einstein Telescope, the proposed next-generation European gravitational-wave observatory, is yet to be finalized. Two competing designs are under consideration:…

gr-qc2026

Detecting Tidal Resonances in Binary Neutron Stars

Fabian Gittins, Harsh Narola, Thibeau Wouters +3

As a binary neutron star inspirals due to the emission of gravitational waves, the rising tidal frequency resonantly excites vibrational modes. These oscillations are seismological…

astro-ph.HE2026

Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data

Sumit Kumar, Max Melching, Frank Ohme +3

Systematic errors in the parameter estimation (PE) of gravitational wave (GW) mergers can arise from various sources, including waveform systematics, noise mischaracterization, dat…

astro-ph.IM2026

Advanced Virgo Plus for O5 -- Design Report Overview

F. Acernese, A. Agapito, D. Agarwal +578

This document presents an overview of the design, implementation, and expected performance of the Advanced Virgo Plus (AdV+) upgrades in view of the O5 observing run. Following the…

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…

gr-qc2024★ 4 cited

Null Stream Based Third-generation-ready Glitch Mitigation for Gravitational Wave Measurements

Harsh Narola, Thibeau Wouters, Luca Negri +10

Gravitational Wave (GW) detectors routinely encounter transient noise bursts, known as glitches, which are caused by either instrumental or environmental factors. Due to their high…

astro-ph.IM2024★ 4 cited

ler: LVK (LIGO-Virgo-KAGRA collaboration) event (compact-binary mergers) rate calculator and simulator

Hemantakumar Phurailatpam, Anupreeta More, Harsh Narola +6

ler is a Python package for simulating compact-binary gravitational-wave populations and estimating detectable event rates for current and future LIGO-Virgo-KAGRA detector networks…

astro-ph.HE2024★ 2 cited

Galaxy lens reconstruction based on strongly lensed gravitational waves: similarity transformation degeneracy and mass-sheet degeneracy

Jason S. C. Poon, Stefano Rinaldi, Justin Janquart +2

Gravitational wave (GW) galaxy lens reconstruction is a crucial step for many GW lensing science applications. However, dark siren GW lensing (i.e. lensed GW without observed elect…

gr-qc2024★ 4 cited

Uncovering faint lensed gravitational-wave signals and reprioritizing their follow-up analysis using galaxy lensing forecasts with detected counterparts

Leo C. Y. Ng, Justin Janquart, Hemantakumar Phurailatpam +4

Like light, gravitational waves can be gravitationally lensed by massive astrophysical objects. Strong gravitational lensing by galaxies and galaxy clusters is anticipated to becom…

gr-qc2023★ 3 cited

Relative binning for complete gravitational-wave parameter estimation with higher-order modes and precession, and applications to lensing and third-generation detectors

Harsh Narola, Justin Janquart, Quirijn Meijer +2

Once a gravitational wave signal is detected, the measurement of its source parameters is important to achieve various scientific goals. This is done through Bayesian inference, wh…

gr-qc2023

How well can modified gravitational wave propagation be constrained with strong lensing?

Harsh Narola, Justin Janquart, Leïla Haegel +3

Strong gravitational lensing produces multiple images of a gravitational wave (GW) signal, which can be observed by detectors as time-separated copies of the same event. It has bee…

gr-qc2023★ 402 cited

Science with the Einstein Telescope: a comparison of different designs

Marica Branchesi, Michele Maggiore, David Alonso +73

The Einstein Telescope (ET), the European project for a third-generation gravitational-wave detector, has a reference configuration based on a triangular shape consisting of three…

gr-qc2022★ 18 cited

Virgo Detector Characterization and Data Quality: tools

F. Acernese, M. Agathos, A. Ain +491

Detector characterization and data quality studies -- collectively referred to as {\em DetChar} activities in this article -- are paramount to the scientific exploitation of the jo…

gr-qc2022★ 60 cited

Virgo Detector Characterization and Data Quality: results from the O3 run

F. Acernese, M. Agathos, A. Ain +491

The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected gravitational-wave (GW) signals in the past few years, alongside the two Adv…

gr-qc2022★ 10 cited

Beyond general relativity: designing a template-based search for exotic gravitational wave signals

Harsh Narola, Soumen Roy, Anand S. Sengupta

Accurate waveform models describing the complete evolution of compact binaries are crucial for the maximum likelihood detection framework, testing the predictions of General Relati…

gr-qc2022★ 17 cited

Convolutional neural network for gravitational-wave early alert: Going down in frequency

Grégory Baltus, Justin Janquart, Melissa Lopez +2

We present here the latest development of a machine-learning pipeline for pre-merger alerts from gravitational waves coming from binary neutron stars. This work starts from the con…