TemplateGeNN: Neural Networks used to accelerate Gravitational Wave Template Bank Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Green, Susanna, Lundgren, Andrew |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LearningMatch: Siamese Neural Network Learns the Match Manifold
by: Green, Susanna, et al.
Published: (2025)
by: Green, Susanna, et al.
Published: (2025)
Searches for Post-Merger Gravitational Waves with CoCoA: Sensitivity Projections Across Large Template Banks for Current and Next-Generation Detectors
by: Khanam, Tanazza, et al.
Published: (2025)
by: Khanam, Tanazza, et al.
Published: (2025)
Time-Averaged Template for Stochastic Gravitational-Wave Background Detection in Space-Based Interferometers
by: Wu, Jing-yi, et al.
Published: (2025)
by: Wu, Jing-yi, et al.
Published: (2025)
Template-Free Gravitational Wave Detection with CWT-LSTM Autoencoders: A Case Study of Run-Dependent Calibration Effects in LIGO Data
by: Cain, Jericho
Published: (2025)
by: Cain, Jericho
Published: (2025)
Template-free search for gravitational wave events using coincident anomaly detection
by: Ratner, Daniel
Published: (2026)
by: Ratner, Daniel
Published: (2026)
Fast Waveform Generation for Gravitational Waves using Evolutionary Algorithms
by: Meijer, Quirijn, et al.
Published: (2024)
by: Meijer, Quirijn, et al.
Published: (2024)
Templated Anisotropic Analyses of the LISA Galactic Foreground
by: Criswell, Alexander W., et al.
Published: (2024)
by: Criswell, Alexander W., et al.
Published: (2024)
Real-Time Detection of Unmodelled Gravitational-Wave Transients Using Convolutional Neural Networks
by: Skliris, Vasileios, et al.
Published: (2020)
by: Skliris, Vasileios, et al.
Published: (2020)
Template bank to search for exotic gravitational wave signals from astrophysical compact binaries
by: Sharma, Abhishek, et al.
Published: (2023)
by: Sharma, Abhishek, et al.
Published: (2023)
Large-kernel Convolutional Neural Networks for Wide Parameter-Space Searches of Continuous Gravitational Waves
by: Joshi, Prasanna Mohan, et al.
Published: (2024)
by: Joshi, Prasanna Mohan, et al.
Published: (2024)
Revisiting the evidence for precession in GW200129 with machine learning noise mitigation
by: Macas, Ronaldas, et al.
Published: (2023)
by: Macas, Ronaldas, et al.
Published: (2023)
Gravitational Wave Polarization Detection with Tetrahedron Constellation of Gravitational Wave Observatory
by: Jin, Hong-Bo, et al.
Published: (2024)
by: Jin, Hong-Bo, et al.
Published: (2024)
Likelihood for a Network of Gravitational-Wave Detectors with Correlated Noise
by: Cireddu, Francesco, et al.
Published: (2023)
by: Cireddu, Francesco, et al.
Published: (2023)
Prospects for High-Frequency Gravitational-Wave Detection with GEO600
by: Jungkind, Christopher M., et al.
Published: (2025)
by: Jungkind, Christopher M., et al.
Published: (2025)
Generating optimal Gravitational-Wave template banks with metric-preserving autoencoders
by: Cabass, Giovanni, et al.
Published: (2025)
by: Cabass, Giovanni, et al.
Published: (2025)
Efficient Reconstruction of Matched-Filter Signal-to-Noise Ratio Time Series from Nearby Templates for Compact Binary Coalescences Searches
by: Murakami, Yasuhiro, et al.
Published: (2025)
by: Murakami, Yasuhiro, et al.
Published: (2025)
GWtuna: Trawling through the data to find Gravitational Waves with Optuna and Jax
by: Green, Susanna, et al.
Published: (2024)
by: Green, Susanna, et al.
Published: (2024)
Basic Data Processing of Gravitational Waves
by: Wu, Jingxu, et al.
Published: (2024)
by: Wu, Jingxu, et al.
Published: (2024)
Bidirectional Internal Squeezing for Gravitational-Wave Detectors
by: Vermeulen, Sander M., et al.
Published: (2026)
by: Vermeulen, Sander M., et al.
Published: (2026)
Technical Noise, Data Quality, and Calibration Requirements for Next-Generation Gravitational-Wave Science
by: Capote, Elenna, et al.
Published: (2024)
by: Capote, Elenna, et al.
Published: (2024)
Expanding the Quantum-Limited Gravitational-Wave Detection Horizon
by: Tao, Liu, et al.
Published: (2025)
by: Tao, Liu, et al.
Published: (2025)
PINNGraPE: Physics Informed Neural Network for Gravitational wave Parameter Estimation
by: Smith, Leigh, et al.
Published: (2025)
by: Smith, Leigh, et al.
Published: (2025)
Accelerated Time-domain Analysis for Gravitational Wave Astronomy
by: Prasad, Vaishak
Published: (2026)
by: Prasad, Vaishak
Published: (2026)
Detection of Lensed Gravitational Waves in the Millihertz Band Using Frequency-Domain Lensing Feature Extraction Network
by: Wang, Tianlong, et al.
Published: (2025)
by: Wang, Tianlong, et al.
Published: (2025)
Gravitational Wave-Sensitive Photonic-Like Electronic Transport in Graphene for Efficient High-Frequency Gravitational Wave Detection
by: Shen, Shen, et al.
Published: (2024)
by: Shen, Shen, et al.
Published: (2024)
Atmospheric Newtonian Noise May Constrain Third-Generation Gravitational-Wave Detectors
by: Wang, Wenhui, et al.
Published: (2025)
by: Wang, Wenhui, et al.
Published: (2025)
Costs of Bayesian Parameter Estimation in Third-Generation Gravitational Wave Detectors: an Assessment of Current Acceleration Methods
by: Hu, Qian, et al.
Published: (2024)
by: Hu, Qian, et al.
Published: (2024)
Measuring the rate of glitches in interferometric gravitational wave detectors with a hierarchical Bayesian model
by: Ashton, Gregory, et al.
Published: (2026)
by: Ashton, Gregory, et al.
Published: (2026)
Parallel Nested Slice Sampling for Gravitational Wave Parameter Estimation
by: Yallup, David, et al.
Published: (2025)
by: Yallup, David, et al.
Published: (2025)
Obtaining Statistical Significance of Gravitational Wave Signals in Hierarchical Search
by: Soni, Kanchan, et al.
Published: (2023)
by: Soni, Kanchan, et al.
Published: (2023)
Polarized Anisotropic Stochastic Gravitational Wave Background Search with Ground-Based Detector Networks
by: Boybeyi, Töre, et al.
Published: (2026)
by: Boybeyi, Töre, et al.
Published: (2026)
Inferring Neutron-Star Properties from Post-merger Gravitational-wave Spectra with Neural Networks
by: Pesios, Dimitrios, et al.
Published: (2026)
by: Pesios, Dimitrios, et al.
Published: (2026)
Mapping Anisotropies in the Stochastic Gravitational-Wave Background with space detector networks
by: Li, Zhi-Yuan, et al.
Published: (2025)
by: Li, Zhi-Yuan, et al.
Published: (2025)
Identifying and Mitigating Machine Learning Biases for the Gravitational Wave Detection Problem
by: Nagarajan, Narenraju, et al.
Published: (2025)
by: Nagarajan, Narenraju, et al.
Published: (2025)
Adaptive Modeling of Correlated Noise in Space-Based Gravitational Wave Detectors
by: Li, Ya-Nan, et al.
Published: (2025)
by: Li, Ya-Nan, et al.
Published: (2025)
GWAI: Artificial Intelligence Platform for Enhanced Gravitational Wave Data Analysis
by: Zhao, Tianyu, et al.
Published: (2024)
by: Zhao, Tianyu, et al.
Published: (2024)
Detectability Scaling Laws for Environmental Phase Modulation in Gravitational-Wave Signals
by: Cain, Jericho
Published: (2026)
by: Cain, Jericho
Published: (2026)
Deep Learning Search for Gravitational Waves from Compact Binary Coalescence
by: Mobilia, Lorenzo, et al.
Published: (2026)
by: Mobilia, Lorenzo, et al.
Published: (2026)
Automated Evaluation of Environmental Coupling for Advanced LIGO Gravitational Wave Detections
by: Helmling-Cornell, Adrian, et al.
Published: (2023)
by: Helmling-Cornell, Adrian, et al.
Published: (2023)
Circularly Polarized Gravitational Wave Background Search with a Network of Space-borne Triangular Detectors
by: Chen, Ju, et al.
Published: (2024)
by: Chen, Ju, et al.
Published: (2024)
Similar Items
-
LearningMatch: Siamese Neural Network Learns the Match Manifold
by: Green, Susanna, et al.
Published: (2025) -
Searches for Post-Merger Gravitational Waves with CoCoA: Sensitivity Projections Across Large Template Banks for Current and Next-Generation Detectors
by: Khanam, Tanazza, et al.
Published: (2025) -
Time-Averaged Template for Stochastic Gravitational-Wave Background Detection in Space-Based Interferometers
by: Wu, Jing-yi, et al.
Published: (2025) -
Template-Free Gravitational Wave Detection with CWT-LSTM Autoencoders: A Case Study of Run-Dependent Calibration Effects in LIGO Data
by: Cain, Jericho
Published: (2025) -
Template-free search for gravitational wave events using coincident anomaly detection
by: Ratner, Daniel
Published: (2026)