Image de couverture de livre

Robustness of Deep Learning Models to Precession in Gravitational-Wave Searches for Intermediate-Mass Black Hole Binaries

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Meijer, Quirijn, van der Sluys, Marc, Caudill, Sarah
Format:	Preprint
Publié:	2024
Sujets:	General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Fast Waveform Generation for Gravitational Waves using Evolutionary Algorithms
par: Meijer, Quirijn, et autres
Publié: (2024)

Gravitational-Wave Searches for Cosmic String Cusps in Einstein Telescope Data using Deep Learning
par: Meijer, Quirijn, et autres
Publié: (2023)

Deep Learning Search for Gravitational Waves from Compact Binary Coalescence
par: Mobilia, Lorenzo, et autres
Publié: (2026)

Impact of Bayesian Priors on the Inferred Masses of Quasi-Circular Intermediate-Mass Black Hole Binaries
par: Chandra, Koustav, et autres
Publié: (2023)

Quantum Search for Gravitational Wave of Massive Black Hole Binaries
par: Guo, Fangzhou, et autres
Publié: (2025)

A Survey of Four Precessing Waveform Models for Binary Black Hole Systems
par: Mac Uilliam, Jake, et autres
Publié: (2024)

Impact of Higher-Order Modes on Eccentricity Measurement in Binary Black Hole Gravitational Waves
par: Tang, Honglue, et autres
Publié: (2026)

Search for Microlensing Signature in Gravitational Waves from Binary Black Hole Events
par: Kim, Kyungmin
Publié: (2022)

Sensitivity of Weak Lensing Surveys to Gravitational Waves from Inspiraling Supermassive Black Hole Binaries
par: Adi, Tal, et autres
Publié: (2025)

Parameter Estimation for Low-Mass Eccentric Black Hole Binaries
par: Wagner, Katelyn J., et autres
Publié: (2024)

Near Real-Time Gravitational Wave Data Analysis of the Massive Black Hole Binary with TianQin
par: Chen, Hong-Yu, et autres
Publié: (2023)

Applying the Viterbi Algorithm to Planetary-Mass Black Hole Searches
par: Alestas, George, et autres
Publié: (2024)

Novel Deep Learning Approach to Detecting Binary Black Hole Mergers
par: Beveridge, Damon, et autres
Publié: (2023)

Obtaining Statistical Significance of Gravitational Wave Signals in Hierarchical Search
par: Soni, Kanchan, et autres
Publié: (2023)

SGNL: Scalable Low-Latency Gravitational Wave Detection Pipeline for Compact Binary Mergers
par: Huang, Yun-Jing, et autres
Publié: (2025)

Pattern-recognition techniques to search for gravitational waves from inspiraling, dark-dressed primordial black holes
par: Sethi, Charchit Kumar, et autres
Publié: (2025)

Deep Neural Emulation of the Supermassive Black-hole Binary Population
par: Laal, Nima, et autres
Publié: (2024)

Gravitational Wave Polarization Detection with Tetrahedron Constellation of Gravitational Wave Observatory
par: Jin, Hong-Bo, et autres
Publié: (2024)

Non-Smooth Multi-objective Controller Synthesis for Test-Mass Actuation in Gravitational-Wave Detectors
par: Sijtsma, Sander K., et autres
Publié: (2025)

Improved Binary Black Hole Search Discriminator from the Singular Value Decomposition of Non-Gaussian Noise Transients
par: Ghosh, Tathagata, et autres
Publié: (2025)

Angular Resolution of a Bayesian Search for Anisotropic Stochastic Gravitational Wave Backgrounds with LISA
par: Bloom, Malachy, et autres
Publié: (2024)

A Fast Bayesian Method for Coherent Gravitational Wave Searches with Relative Astrometry
par: Zhang, Benjamin, et autres
Publié: (2025)

Binary Neutron Star Merger Search Pipeline Powered by Deep Learning
par: McLeod, Alistair, et autres
Publié: (2024)

PyMerger: Detecting Binary Black Hole merger from Einstein Telescope Using Deep Learning
par: Alhassan, Wathela, et autres
Publié: (2023)

Evaluating Deep Learning Models for Multiclass Classification of LIGO Gravitational-Wave Glitches
par: Manoharan, Rudhresh, et autres
Publié: (2026)

Searching for Gravitational Waves with Gaia and its Cross-Correlation with PTA: Absolute vs Relative Astrometry
par: Vaglio, Massimo, et autres
Publié: (2025)

GFH-v2 Pipeline for Searches of Long-Transient Gravitational Waves from Newborn Magnetars
par: Menon, Sandhya Sajith, et autres
Publié: (2025)

Large-kernel Convolutional Neural Networks for Wide Parameter-Space Searches of Continuous Gravitational Waves
par: Joshi, Prasanna Mohan, et autres
Publié: (2024)

Binary Black Hole inspirals cannot hide their eccentricity
par: Fernandes, Johann, et autres
Publié: (2026)

Polarized Anisotropic Stochastic Gravitational Wave Background Search with Ground-Based Detector Networks
par: Boybeyi, Töre, et autres
Publié: (2026)

Bayesian Framework to Follow-up Continuous Gravitational Wave Candidates from Deep Surveys
par: Martins, Jasper, et autres
Publié: (2025)

PycWB: A User-friendly, Modular, and Python-based Framework for Gravitational Wave Unmodelled Search
par: Xu, Yumeng, et autres
Publié: (2023)

Robustness Analysis and Controller Design of Arm-locking System in Space-based Gravitational Wave Detectors
par: Shao, Yongbin, et autres
Publié: (2025)

Circularly Polarized Gravitational Wave Background Search with a Network of Space-borne Triangular Detectors
par: Chen, Ju, et autres
Publié: (2024)

Basic Data Processing of Gravitational Waves
par: Wu, Jingxu, et autres
Publié: (2024)

Data-Driven Acceleration of Eccentricity Reduction for Binary Black Hole Simulations
par: Tommasini, Vittoria, et autres
Publié: (2026)

Second MAYA Catalog of Binary Black Hole Numerical Relativity Waveforms
par: Ferguson, Deborah, et autres
Publié: (2023)

Searches for Compact Binary Coalescence Events Using Neural Networks in LIGO/Virgo Third Observation Period
par: Menéndez-Vázquez, Alexis, et autres
Publié: (2024)

Bidirectional Internal Squeezing for Gravitational-Wave Detectors
par: Vermeulen, Sander M., et autres
Publié: (2026)

Gravitational Wave-Sensitive Photonic-Like Electronic Transport in Graphene for Efficient High-Frequency Gravitational Wave Detection
par: Shen, Shen, et autres
Publié: (2024)