Search for exotic gravitational wave signals beyond general relativity using deep learning
arXiv:2410.20129 · doi:10.1103/f85k-wtph
Abstract
The direct detection of gravitational waves by LIGO has confirmed general relativity (GR) and sparked rapid growth in gravitational wave (GW) astronomy. However, subtle post-Newtonian (PN) deviations observed during the analysis of high signal-to-noise ratio events from the observational runs suggest that standard waveform templates, which assume strict adherence to GR, might overlook signals from alternative theories of gravity. Incorporating these exotic signals into traditional search algorithms is computationally infeasible due to the vast template space required. This paper introduces a proof-of-principle deep learning framework for detecting exotic GW signals, leveraging neural networks trained on GR-based templates. Through their generalization ability, neural networks learn intricate features from the data, enabling the detection of signals that deviate from GR. We present the first study evaluating the capability of deep learning to detect beyond-GR signals, including a variety of PN orders. Our model achieves rapid and accurate identification of exotic GW signals across different luminosity distances, with performance comparable to GR-based detections. In particular, applying the model to the GW150914 event demonstrates excellent performance, highlighting the potential of AI-driven methods for detecting previously overlooked signals beyond GR. This work paves the way for new discoveries in gravitational wave astronomy, enabling the detection of signals that might escape traditional search pipelines.
14 pages, 12 figures
References in corpus (121)
- Observation of Gravitational Waves from a Binary Black Hole Merger
- Advanced Virgo: a 2nd generation interferometric gravitational wave detector
- GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs
- Advanced LIGO
- Extended Theories of Gravity
- Quantum Gravity at a Lifshitz Point
- GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run
- Resummation of Massive Gravity
- GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run
- A gravitational-wave standard siren measurement of the Hubble constant
- Beyond the Cosmological Standard Model
- Frequency-domain gravitational waves from non-precessing black-hole binaries. II. A phenomenological model for the advanced detector era
- Tests of General Relativity with the Binary Black Hole Signals from the LIGO-Virgo Catalog GWTC-1
- Tests of General Relativity with Binary Black Holes from the second LIGO-Virgo Gravitational-Wave Transient Catalog
- Frequency-domain gravitational waves from non-precessing black-hole binaries. I. New numerical waveforms and anatomy of the signal
- Using gravitational-wave standard sirens
- Chern-Simons Modification of General Relativity
- A simple model of complete precessing black-hole-binary gravitational waveforms
- Chern-Simons Modified General Relativity
- The PyCBC search for gravitational waves from compact binary coalescence
- Comparison of post-Newtonian templates for compact binary inspiral signals in gravitational-wave detectors
- Degenerate higher derivative theories beyond Horndeski: evading the Ostrogradski instability
- New Gauss-Bonnet black holes with curvature induced scalarization in the extended scalar-tensor theories
- KAGRA: 2.5 Generation Interferometric Gravitational Wave Detector
- Method for detection and reconstruction of gravitational wave transients with networks of advanced detectors
- Tests of Lorentz invariance: a 2013 update
- A 2 per cent Hubble constant measurement from standard sirens within 5 years
- Analysis Framework for the Prompt Discovery of Compact Binary Mergers in Gravitational-wave Data
- Early supernovae light-curves following the shock-breakout
- Open data from the third observing run of LIGO, Virgo, KAGRA and GEO
- On the Extra Mode and Inconsistency of Horava Gravity
- Short GRB and binary black hole standard sirens as a probe of dark energy
- First measurement of the Hubble constant from a dark standard siren using the Dark Energy Survey galaxies and the LIGO/Virgo binary-black-hole merger GW170814
- Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
- Ultra-high precision cosmology from gravitational waves
- Towards a generic test of the strong field dynamics of general relativity using compact binary coalescence
- Toward Early-Warning Detection of Gravitational Waves from Compact Binary Coalescence
- Matching matched filtering with deep networks in gravitational-wave astronomy
- Constraints on the cosmic expansion history from GWTC-3
- Determination of Dark Energy by the Einstein Telescope: Comparing with CMB, BAO and SNIa Observations
- A gravitational-wave measurement of the Hubble constant following the second observing run of Advanced LIGO and Virgo
- Implementing a search for aligned-spin neutron star -- black hole systems with advanced ground based gravitational wave detectors
- TIGER: A data analysis pipeline for testing the strong-field dynamics of general relativity with gravitational wave signals from coalescing compact binaries
- Cosmological Inference using Gravitational Wave Standard Sirens: A Mock Data Challenge
- Theory-Agnostic Constraints on Black-Hole Dipole Radiation with Multi-Band Gravitational-Wave Astrophysics
- Estimating cosmological parameters by the simulated data of gravitational waves from the Einstein Telescope
- The redshift evolution of the binary black hole merger rate: a weighty matter
- gravity after GW170817 and GRB170817A
- Higher-Derivative Corrected Black Holes: Perturbative Stability and Absorption Cross-Section in Heterotic String Theory
- Distance measures in gravitational-wave astrophysics and cosmology
- Constraints on Interacting Dark Energy Models from the DESI Baryon Acoustic Oscillation and DES Supernovae Data
- Improving the sensitivity of a search for coalescing binary black holes with non-precessing spins in gravitational wave data
- A statistical standard siren measurement of the Hubble constant from the LIGO/Virgo gravitational wave compact object merger GW190814 and Dark Energy Survey galaxies
- Spectral sirens: cosmology from the full mass distribution of compact binaries
- Real-Time Detection of Gravitational Waves from Binary Neutron Stars using Artificial Neural Networks
- Measuring the Hubble constant with neutron star black hole mergers
- The Gravitational-Wave Physics II: Progress
- Velocity correction for Hubble constant measurements from standard sirens
- Listening to the sound of dark sector interactions with gravitational wave standard sirens
- Beyond Concordance Cosmology with Magnification of Gravitational-Wave Standard Sirens
- The Initial Value Formulation of Dynamical Chern-Simons Gravity
- Dark Sirens to Resolve the Hubble-Lemaître Tension
- Gravitational wave signal recognition of O1 data by deep learning
- Probing cosmic anisotropy with gravitational waves as standard sirens
- Parameterized tests of the strong-field dynamics of general relativity using gravitational wave signals from coalescing binary black holes: Fast likelihood calculations and sensitivity of the method
- Forecast for cosmological parameter estimation with gravitational-wave standard sirens from the LISA-Taiji network
- On Gauge Invariance and Minimal Coupling
- Transient Classification in LIGO data using Difference Boosting Neural Network
- Search for intermediate mass black hole binaries in the first and second observing runs of the Advanced LIGO and Virgo network
- Constraining the time variation of Newton's constant with gravitational-wave standard sirens and supernovae
- Forecast for cosmological parameter estimation with gravitational-wave standard siren observation from the Cosmic Explorer
- A Program for Multi-Messenger Standard Siren Cosmology in the Era of LIGO A+, Rubin Observatory, and Beyond
- Gravitational wave standard sirens and cosmological parameter measurement
- Detection of gravitational-wave signals from binary neutron star mergers using machine learning
- Cosmological parameter estimation with future gravitational wave standard siren observation from the Einstein Telescope
- Applying deep neural networks to the detection and space parameter estimation of compact binary coalescence with a network of gravitational wave detectors
- MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
- Prospects for improving cosmological parameter estimation with gravitational-wave standard sirens from Taiji
- Phenomenology of theories of gravity without Lorentz invariance: the preferred frame case
- Constraining the Hubble constant to a precision of about 1% using multi-band dark standard siren detections
- Detection and Parameter Estimation of Gravitational Waves from Binary Neutron-Star Mergers in Real LIGO Data using Deep Learning
- How can gravitational-wave standard sirens and 21 cm intensity mapping jointly provide a precise late-universe cosmological probe?
- Systematic uncertainty of standard sirens from the viewing angle of binary neutron star inspirals
- Constraints on the distance duality relation with standard sirens
- Future Constraints on Dynamical Dark-Energy using Gravitational-Wave Standard Sirens
- Deep Learning Ensemble for Real-time Gravitational Wave Detection of Spinning Binary Black Hole Mergers
- The Taiji-TianQin-LISA network: Precisely measuring the Hubble constant using both bright and dark sirens
- Hunting for the host galaxy groups of binary black holes and the application in constraining Hubble constant
- Synergy between CSST galaxy survey and gravitational-wave observation: Inferring the Hubble constant from dark standard sirens
- Cosmology with Standard Sirens at Cosmic Noon
- Training Strategies for Deep Learning Gravitational-Wave Searches
- Deep Residual Networks for Gravitational Wave Detection
- Prospects for measuring the Hubble constant and dark energy using gravitational-wave dark sirens with neutron star tidal deformation
- Impacts of gravitational-wave standard siren observations from Einstein Telescope and Cosmic Explorer on weighing neutrinos in interacting dark energy models
- Using a multi-messenger and multi-wavelength observational strategy to probe the nature of dark energy through direct measurements of cosmic expansion history
- Forecasting the Interaction in Dark Matter-Dark Energy Models with Standard Sirens From the Einstein Telescope
- Prospects for probing the interaction between dark energy and dark matter using gravitational-wave dark sirens with neutron star tidal deformation
- Forecasting Interacting Vacuum-Energy Models using Gravitational Waves
- Improved deep learning techniques in gravitational-wave data analysis
- A new way to explore cosmological tensions using gravitational waves and strong gravitational lensing
- Deep Learning Detection and Classification of Gravitational Waves from Neutron Star-Black Hole Mergers
- Space-based gravitational wave signal detection and extraction with deep neural network
- Joint constraints on cosmological parameters using future multi-band gravitational wave standard siren observations
- Cosmology with the Einstein Telescope: No Slip Gravity Model and Redshift Specifications
- Ensemble of Deep Convolutional Neural Networks for real-time gravitational wave signal recognition
- Improving significance of binary black hole mergers in Advanced LIGO data using deep learning : Confirmation of GW151216
- GWSkyNet: a real-time classifier for public gravitational-wave candidates
- An accurate method to determine the systematics due to the peculiar velocities of galaxies in measuring the Hubble constant from gravitational wave standard sirens
- New Gravitational Wave Discoveries Enabled by Machine Learning
- Cosmography with Standard Sirens from the Einstein Telescope
- Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow
- Searching for modified gravity in the astrophysical gravitational wave background: Application to ground-based interferometers
- Standard sirens and dark sector with Gaussian process
- Neural network time-series classifiers for gravitational-wave searches in single-detector periods
- Beyond general relativity: designing a template-based search for exotic gravitational wave signals
- Rapid identification of time-frequency domain gravitational wave signals from binary black holes using deep learning
- Convolutional Neural Networks for signal detection in real LIGO data
- Employing Deep Learning for Detection of Gravitational Waves from Compact Binary Coalescences
- Binary Neutron Star Merger Search Pipeline Powered by Deep Learning
- Novel Deep Learning Approach to Detecting Binary Black Hole Mergers
- Gravitational collapse in Quadratic Gravity