collaborators

6 papers

gr-qc2026

Hierarchical constraints on gravitational waves from horizonless compact objects

Rajrupa Mondal, Julian Westerweck, Yotam Sherf +2

We use the data of several promising gravitational wave observations to obtain increasingly stringent bounds on near-horizon deviations of their sources from the Kerr geometry. A r…

gr-qc2025

Black hole spectroscopy: from theory to experiment

Emanuele Berti, Vitor Cardoso, Gregorio Carullo +70

The "ringdown" radiation emitted by oscillating black holes has great scientific potential. By carefully predicting the frequencies and amplitudes of black hole quasinormal modes a…

gr-qc2025

Potential science with GW250114 -- the loudest binary black hole merger detected to date

Aleyna Akyüz, Alex Correia, Jada Garofalo +7

On January 14, 2025 the LIGO interferometers detected a gravitational wave from the merger of two black holes, GW250114. Using publicly available information, we estimate that the…

gr-qc2025

Multiband parameter estimation with phase coherence and extrinsic marginalization: Extracting more information from low-SNR CBC signals in LISA data

Shichao Wu, Alexander H. Nitz, Ian Harry +4

This paper presents a novel coherent multiband analysis framework for characterizing stellar- and intermediate-mass binary black holes using LISA and next-generation ground-based d…

astro-ph.HE2025

Mining the Alerts: A Preliminary Catalog of Compact Binaries from the Fourth Observing Run

Aleyna Akyüz, Alex Correia, Jada Garofalo +7

We present a preliminary catalog of compact binary merger candidates from the ongoing fourth observing run (O4) of Advanced LIGO, Virgo, and KAGRA, based on an analysis of public a…

gr-qc2025

A gating-and-inpainting perspective on GW150914 ringdown overtone: understanding the data analysis systematics

Yi-Fan Wang, Collin D. Capano, Jahed Abedi +5

We revisit the recent debate on the evidence for an overtone in the black hole ringdown of GW150914 using an independent data-analysis pipeline. By gating and inpainting the data,…