Deterministic denoising of long-duration gravitational-wave signal candidates with alpha -(de)blending
gr-qc, astro-ph.HE, astro-ph.IM, astro-ph.SR
Submitted: 2026-09-14
Updated: 2026-09-14
Comments: 23 pages, 12 figures. Submitted to Classical and Quantum Gravity
Code: https://github.com/Polgraw/TDFstat
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Observation of Gravitational Waves from a Binary Black Hole Merger
- GWTC-5.0: An Introduction to Version 5.0 of the Gravitational-Wave Transient Catalog
- Search for continuous gravitational waves from known pulsars in the first part of the fourth LIGO-Virgo-KAGRA observing run
- Searches for Continuous Gravitational Waves from Supernova Remnants in the first part of the LIGO-Virgo-KAGRA Fourth Observing run
- All-sky Searches for Continuous Gravitational Waves from Isolated Neutron Stars in the Data from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run
- Data analysis of gravitational-wave signals from spinning neutron stars. I. The signal and its detection
- Banks of templates for all-sky narrow-band searches of gravitational waves from spinning neutron stars
- Deep Unsupervised Learning using Nonequilibrium Thermodynamics
- Denoising Diffusion Probabilistic Models
- An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
- Diffusion Models: A Comprehensive Survey of Methods and Applications
- A Survey on Generative Diffusion Model
- Classifier-Free Diffusion Guidance
- Flow Matching for Generative Modeling
- One weird trick for parallelizing convolutional neural networks
- Adam: A Method for Stochastic Optimization
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