Imagen de Portada

Transfer Learning Adapts to Changing PSD in Gravitational Wave Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Modrekiladze, Beka
Formato:	Preprint
Publicado:	2024
Materias:	General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Dual Cutler-Vallisneri Corrections: Mitigating PSD Drift in Zero-Latency Gravitational-Wave Searches
por: Kennington, James
Publicado: (2026)

gwBenchmarks: Stress-Testing LLM Agents on High-Precision Gravitational Wave Astronomy
por: Islam, Tousif, et al.
Publicado: (2026)

Automated Algorithmic Discovery for Scientific Computing through LLM-Guided Evolutionary Search: A Case Study in Gravitational-Wave Detection
por: Wang, He, et al.
Publicado: (2025)

New Gravitational Wave Discoveries Enabled by Machine Learning
por: Koloniari, Alexandra E., et al.
Publicado: (2024)

Observed Gravitational-Wave Populations
por: Callister, T. A.
Publicado: (2024)

Cracking Gravitational Wave Multiple Ringdown Modes in Space
por: Wang, Ziming, et al.
Publicado: (2026)

The NANOGrav 15-year Gravitational-Wave Background Methods
por: Johnson, Aaron D., et al.
Publicado: (2023)

deci-Hz Gravitational Wave Observations on the Moon and Beyond
por: Berti, Emanuele, et al.
Publicado: (2026)

Validating Sequential Monte Carlo for Gravitational-Wave Inference
por: Williams, Michael J., et al.
Publicado: (2025)

Simulation-based Inference for Gravitational Waves from Binary Neutron Stars: Application of Summary Data from Heterodyning
por: Iwaya, Masaki, et al.
Publicado: (2026)

Compact Binary Coalescence Gravitational Wave Signals Counting and Separation
por: Zhao, Tianyu, et al.
Publicado: (2024)

An Implementation to Identify the Properties of Multiple Population of Gravitational Wave Sources
por: Qazalbash, Meesum, et al.
Publicado: (2025)

Long Short-Term Memory for Early Warning Detection of Gravitational Waves
por: Alfaidi, Reem, et al.
Publicado: (2024)

Assessing Matched Filtering for Core-Collapse Supernova Gravitational-Wave Detection
por: Andresen, Haakon, et al.
Publicado: (2024)

Parameter Estimation Precision with Geocentric Gravitational Wave Interferometers: Monochromatic Signals
por: Sousa, Manoel Felipe, et al.
Publicado: (2025)

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
por: Hu, Qian, et al.
Publicado: (2024)

No Glitch in the Matrix: Robust Reconstruction of Gravitational Wave Signals Under Noise Artifacts
por: Chatterjee, Chayan, et al.
Publicado: (2024)

Characterizing Low-Latency Sky Localization in Multi-Detector Gravitational-Wave Networks
por: Ouzriat, Amazigh, et al.
Publicado: (2025)

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

Model-Agnostic Population Inference for Gravitational-Wave Astronomy: From LIGO to LISA
por: Li, Yi-kun, et al.
Publicado: (2026)

Optimal Follow-Up of Gravitational-Wave Events with the UltraViolet EXplorer (UVEX)
por: Singer, Leo P., et al.
Publicado: (2025)

Dawning of a New Era in Gravitational Wave Data Analysis: Unveiling Cosmic Mysteries via Artificial Intelligence -- A Systematic Review
por: Zhao, Tianyu, et al.
Publicado: (2023)

Inferring Interference: Identifying a Perturbing Tertiary with Eccentric Gravitational Wave Burst Timing
por: Romero-Shaw, Isobel M., et al.
Publicado: (2022)

Gravitational-Wave Parameter Estimation in non-Gaussian noise using Score-Based Likelihood Characterization
por: Legin, Ronan, et al.
Publicado: (2024)

Source Confusion from Neutron Star Binaries in Ground-Based Gravitational Wave Detectors is Minimal
por: Johnson, Aaron D., et al.
Publicado: (2024)

Hierarchical Subtraction with Neural Density Estimators as a General Solution to Overlapping Gravitational Wave Signals
por: Hu, Qian
Publicado: (2025)

A Neural Network Approach to Preferred Event Selection for Low-Latency Gravitational-Wave Alerts
por: Baral, Pratyusava, et al.
Publicado: (2025)

Estimating Astrophysical Population Properties using a multi-component Stochastic Gravitational-Wave Background Search
por: De Lillo, Federico, et al.
Publicado: (2023)

A flexible, GPU-accelerated approach for the joint characterization of LISA instrumental noise and Stochastic Gravitational Wave Backgrounds
por: Santini, Alessandro, et al.
Publicado: (2025)

Accounting for the Known Unknowns: A Parametric Framework to Incorporate Systematic Waveform Errors in Gravitational-Wave Parameter Estimation
por: Kumar, Sumit, et al.
Publicado: (2025)

Beyond FINDCHIRP: Breaking the memory wall and optimal FFTs for Gravitational-Wave Matched-Filter Searches with Ratio-Filter Dechirping
por: Nitz, Alexander H., et al.
Publicado: (2026)

Methods for Detecting Gravitational Waves from mini-Extreme-Mass-Ratio Inspirals II: A Spectral-Leakage-Aware Framework
por: Wang, Zi-Xuan, et al.
Publicado: (2025)

Methods for Detecting Gravitational Waves from mini-Extreme-Mass-Ratio Inspirals I: Statistics Based on Time-Frequency Signal Tracks
por: Wang, Zi-Xuan, et al.
Publicado: (2025)

Identifying the Quadrupolar Nature of Gravitational Wave Background through Space-based Missions
por: Chen, Yifan, et al.
Publicado: (2024)

Characterizing Gravitational Wave Detector Networks: From A$^\sharp$ to Cosmic Explorer
por: Gupta, Ish, et al.
Publicado: (2023)

Squashed Pyramid Interferometer Network (SPIN): Direct Access to Chirality of Cosmological Gravitational Waves
por: Kharzeev, Dmitri E., et al.
Publicado: (2026)

Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis
por: Liang, Bo, et al.
Publicado: (2025)

$μ$-GLANCE: A Novel Technique to Detect Chromatically and Achromatically Lensed Gravitational Wave Signals
por: Chakraborty, Aniruddha, et al.
Publicado: (2024)

Importance of Shot Noise in the Search for an Isotropic Stochastic Gravitational-Wave Background with Next Generation Detectors
por: Zhong, Haowen, et al.
Publicado: (2025)

Gravitational Wave Signal Denoising and Merger Time Prediction By Deep Neural Network
por: Xu, Yuxiang, et al.
Publicado: (2024)