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Pre-Merger Detection and Characterization of Inspiraling Binary Neutron Stars Derived from Neural Posterior Estimation
Wouter van Straalen, Alex Kolmus, Justin Janquart +1
As the sensitivity of the international gravitational wave detector network increases, observing binary neutron star signals will become more common. Moreover, since these signals…
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…
Tests of General Relativity with GW230529: a neutron star merging with a lower mass-gap compact object
Elise M. Sänger, Soumen Roy, Michalis Agathos +16
On May 29, 2023, the LIGO Livingston observatory detected the gravitational-wave signal GW230529_181500 from the merger of a neutron star with a lower mass-gap compact object. Its…
Possible Causes of False General Relativity Violations in Gravitational Wave Observations
Anuradha Gupta, K. G. Arun, Enrico Barausse +40
General relativity (GR) has proven to be a highly successful theory of gravity since its inception. The theory has thrivingly passed numerous experimental tests, predominantly in w…
Robust parameter estimation within minutes on gravitational wave signals from binary neutron star inspirals
Thibeau Wouters, Peter T. H. Pang, Tim Dietrich +1
The gravitational waves emitted by binary neutron star inspirals contain information on nuclear matter above saturation density. However, extracting this information and conducting…
Tuning neural posterior estimation for gravitational wave inference
Alex Kolmus, Justin Janquart, Tomasz Baka +3
Modern simulation-based inference techniques use neural networks to solve inverse problems efficiently. One notable strategy is neural posterior estimation (NPE), wherein a neural…
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…
Generating Higher Order Modes from Binary Black Hole mergers with Machine Learning
Tim Grimbergen, Stefano Schmidt, Chinmay Kalaghatgi +1
We introduce a machine learning model designed to rapidly and accurately predict the time domain gravitational wave emission of non-precessing binary black hole coalescences, incor…
cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation
Tom Dooney, Lyana Curier, Daniel Tan +3
Simulating realistic time-domain observations of gravitational waves (GWs) and GW detector glitches can help in advancing GW data analysis. Simulated data can be used in downstream…