Cover Image

Learning and Interpreting Gravitational-Wave Features from CNNs with a Random Forest Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tian, Jun, Wang, He, He, Jibo, Pan, Yu, Cao, Shuo, Jiang, Qingquan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning High Energy Astrophysical Phenomena General Relativity and Quantum Cosmology Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Testing General Relativity Through Gravitational Wave Classification: A Convolutional Neural Network Framework
by: Heisenberg, Lavinia, et al.
Published: (2026)

Test Gravitational-Wave Polarizations with Space-Based Detectors
by: Wang, Jun-Shuai, et al.
Published: (2025)

Gravitational-wave astronomy requires population-informed parameter estimation
by: Mould, Matthew, et al.
Published: (2026)

FluxMC: Rapid and High-Fidelity Inference for Space-Based Gravitational-Wave Observations
by: Liang, Bo, et al.
Published: (2026)

Advancing Space-Based Gravitational Wave Astronomy: Rapid Parameter Estimation via Normalizing Flows
by: Du, Minghui, et al.
Published: (2023)

Gravitational Wave Signal Extraction Against Non-Stationary Instrumental Noises with Deep Neural Network
by: Xu, Yuxiang, et al.
Published: (2024)

False positives for gravitational lensing: the gravitational-wave perspective
by: Keitel, David
Published: (2024)

LensingFlow: An Automated Workflow for Gravitational Wave Lensing Analyses
by: Wright, Mick, et al.
Published: (2025)

Wavelet Scattering Transform for Gravitational Waves Analysis. An Application to Glitch Characterization
by: Licciardi, Alessandro, et al.
Published: (2024)

Quantum Computing Tools for Fast Detection of Gravitational Waves in the Context of LISA Space Mission
by: Isfan, Maria-Catalina, et al.
Published: (2025)

Scalable data-analysis framework for long-duration gravitational waves from compact binaries using short Fourier transforms
by: Tenorio, Rodrigo, et al.
Published: (2025)

Optimal cross-correlation technique to search for strongly lensed gravitational waves
by: Kopty, Anirban, et al.
Published: (2026)

Stochastic problems in pulsar timing
by: Bernardo, Reginald Christian
Published: (2026)

Sampling the full hierarchical population posterior distribution in gravitational-wave astronomy
by: Mancarella, Michele, et al.
Published: (2025)

Reconstruction of Black Hole Ringdown Signals with Data Gaps using a Deep-Learning Framework
by: Lai, Jing-Qi, et al.
Published: (2025)

Learning to detect continuous gravitational waves: an open data-analysis competition
by: Tenorio, Rodrigo, et al.
Published: (2025)

Optimizing searches for gravitational wave bursts using coherent WaveBurst 2G
by: Martini, Alessandro, et al.
Published: (2025)

Poissonian Analysis of Glitches Observed in the LIGO Gravitational Wave Interferometers
by: Costa, Giovanna Souza Rodrigues, et al.
Published: (2025)

Rapid Parameter Estimation for Merging Massive Black Hole Binaries Using Continuous Normalizing Flows
by: Liang, Bo, et al.
Published: (2024)

Guesswork in the gap: the impact of uncertainty in the compact binary population on source classification
by: Mali, Utkarsh, et al.
Published: (2025)

Catalog variance of testing general relativity with gravitational-wave data
by: Pacilio, Costantino, et al.
Published: (2023)

Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach
by: Zhu, Xihua, et al.
Published: (2024)

New Constraints on Lorentz Invariance Violation at High Redshifts from Multiband of GRBs
by: Chen, Mingyue, et al.
Published: (2024)

High Sensitivity Methodologies to Detect Radio Band Gravitational Waves
by: Hong, Wei, et al.
Published: (2026)

Quantum Search for Gravitational Wave of Massive Black Hole Binaries
by: Guo, Fangzhou, et al.
Published: (2025)

One-stop strategy to search for long-duration gravitational-wave signals
by: Tenorio, Rodrigo, et al.
Published: (2024)

Glitches far from transient gravitational-wave events do not bias inference
by: Hourihane, Sophie, et al.
Published: (2025)

Extraction of gravitational wave signals from LISA data in the presence of artifacts
by: Castelli, Eleonora, et al.
Published: (2024)

Gauge Theoretic Signal Processing I: The Commutative Formalism for Single-Detector Adaptive Whitening
by: Kennington, James, et al.
Published: (2026)

Analyzing black-hole ringdowns II: data conditioning
by: Siegel, Harrison, et al.
Published: (2024)

A novel stacked hybrid autoencoder for imputing LISA data gaps
by: Mao, Ruiting, et al.
Published: (2024)

py5vec: a modular Python package for the 5-vector method to search for continuous gravitational waves
by: D'Onofrio, Luca, et al.
Published: (2026)

SlotFlow: Amortized Trans-Dimensional Inference with Slot-Based Normalizing Flows
by: Houba, Niklas, et al.
Published: (2025)

Identifying noise transients in gravitational-wave data arising from nonlinear couplings
by: Hall, Bernard, et al.
Published: (2024)

Wavelets for power spectral density estimation of gravitational wave data
by: Zhu, Jin-Bao, et al.
Published: (2025)

Doppler correlation-driven vetoes for the Frequency Hough analysis in continuous gravitational-wave searches
by: Di Giovanni, Matteo, et al.
Published: (2024)

PADÉ FILTERING, Principles and Use: an Introductory Report
by: Fournier, Jean-Daniel, et al.
Published: (2024)

Aspects of Spatially-Correlated Random Fields: Extreme-Value Statistics and Clustering Properties
by: Choi, Ka Hei, et al.
Published: (2025)

Prospect of Constraining the EoS of Neutron Stars Using Post-Merger Signals
by: Mitra, Soham, et al.
Published: (2025)

Theoretical Radio Signals from Radio-Band Gravitational Waves Converted from the Neutron Star Magnetic Field
by: Hong, Wei, et al.
Published: (2024)