Saved in:
| Main Authors: | Magee, Ryan, George, Richard, Li, Alvin, Sharma, Ritwik |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.02470 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive algorithms for low-latency cancellation of seismic Newtonian-noise at the Virgo gravitational-wave detector
by: Koley, Soumen, et al.
Published: (2024)
by: Koley, Soumen, et al.
Published: (2024)
Improving the scalability of Gaussian-process error marginalization in gravitational-wave inference
by: Liu, Miaoxin, et al.
Published: (2023)
by: Liu, Miaoxin, et al.
Published: (2023)
RNLE: Residual neural likelihood estimation and its application to gravitational-wave astronomy
by: Emma, Mattia, et al.
Published: (2026)
by: Emma, Mattia, et al.
Published: (2026)
Detection of the stochastic gravitational wave background with the space-borne gravitational-wave detector network
by: Cheng, Jun, et al.
Published: (2025)
by: Cheng, Jun, et al.
Published: (2025)
Time-dependent deflection reconstruction: new technique to search for gravitational waves with the cosmic microwave background
by: Leluc, Alvin, et al.
Published: (2025)
by: Leluc, Alvin, et al.
Published: (2025)
Scalable matched-filtering pipeline for gravitational-wave searches of compact binary mergers
by: Huang, Yun-Jing, et al.
Published: (2024)
by: Huang, Yun-Jing, et al.
Published: (2024)
Calibrating approximate Bayesian credible intervals of gravitational-wave parameters
by: Mao, Ruiting, et al.
Published: (2023)
by: Mao, Ruiting, et al.
Published: (2023)
Enhancing online estimation of CBC parameters with the low-latency MBTA analysis
by: Aubin, Florian, et al.
Published: (2026)
by: Aubin, Florian, et al.
Published: (2026)
On networks of space-based gravitational-wave detectors
by: Cai, Rong-Gen, et al.
Published: (2023)
by: Cai, Rong-Gen, et al.
Published: (2023)
Hybrid algorithm combining matched filtering and convolutional neural networks for searching gravitational waves from binary black hole mergers
by: Yamamoto, Takahiro S., et al.
Published: (2025)
by: Yamamoto, Takahiro S., et al.
Published: (2025)
A neural network for estimating compact binary coalescence parameters of gravitational-wave events in real time
by: Chaudhary, Sushant Sharma, et al.
Published: (2025)
by: Chaudhary, Sushant Sharma, et al.
Published: (2025)
Sensitivity to anisotropic stochastic gravitational-wave background with space-borne networks
by: Liang, Zheng-Cheng, et al.
Published: (2023)
by: Liang, Zheng-Cheng, et al.
Published: (2023)
Generative adversarial network for stellar core-collapse gravitational waves
by: Eccleston, Tarin, et al.
Published: (2024)
by: Eccleston, Tarin, et al.
Published: (2024)
TESLA-X: An effective method to search for sub-threshold lensed gravitational waves with a targeted population model
by: Li, Alvin K. Y., et al.
Published: (2023)
by: Li, Alvin K. Y., et al.
Published: (2023)
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)
Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences
by: Sasaoka, Seiya, et al.
Published: (2023)
by: Sasaoka, Seiya, et al.
Published: (2023)
Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis
by: Kume, Jun'ya, et al.
Published: (2025)
by: Kume, Jun'ya, et al.
Published: (2025)
Glitch veto based on unphysical gravitational wave binary inspiral templates
by: Girgaonkar, Raghav, et al.
Published: (2024)
by: Girgaonkar, Raghav, et al.
Published: (2024)
An interference-based method for the detection of strongly lensed gravitational waves
by: Shan, Xikai, et al.
Published: (2023)
by: Shan, Xikai, et al.
Published: (2023)
Swiftly chasing gravitational waves across the sky in real-time
by: Tohuvavohu, Aaron, et al.
Published: (2024)
by: Tohuvavohu, Aaron, et al.
Published: (2024)
Accuracy of numerical relativity waveforms with respect to space-based gravitational wave detectors
by: Wang, Zun, et al.
Published: (2024)
by: Wang, Zun, et al.
Published: (2024)
Prospects of constraining on the polarizations of gravitational waves from binary black holes using space- and ground-based detectors
by: Wu, Jie, et al.
Published: (2024)
by: Wu, Jie, et al.
Published: (2024)
A meshfree approach for rapid reconstruction of compact binary sources detected in the network of international gravitational wave detectors
by: Pathak, Lalit
Published: (2025)
by: Pathak, Lalit
Published: (2025)
Probing the galactic and extragalactic gravitational wave backgrounds with space-based interferometers
by: Mentasti, Giorgio, et al.
Published: (2023)
by: Mentasti, Giorgio, et al.
Published: (2023)
GraviBERT: Transformer-based inference for gravitational-wave time series
by: Benedikt, Martin, et al.
Published: (2025)
by: Benedikt, Martin, et al.
Published: (2025)
An efficient pipeline for joint gravitational wave searches from individual binaries and a gravitational wave background with Hamiltonian sampling
by: Freedman, Gabriel E., et al.
Published: (2024)
by: Freedman, Gabriel E., et al.
Published: (2024)
Using normal to find abnormal: AI-based anomaly detection in gravitational wave data
by: Guo, Yi-Yang, et al.
Published: (2025)
by: Guo, Yi-Yang, et al.
Published: (2025)
The Doppler boosted LISA response to gravitational waves
by: van der Steen, Tom, et al.
Published: (2025)
by: van der Steen, Tom, et al.
Published: (2025)
GWSpace: a multi-mission science data simulator for space-based gravitational wave detection
by: Li, En-Kun, et al.
Published: (2023)
by: Li, En-Kun, et al.
Published: (2023)
Residual neural networks to classify the high frequency emission in core-collapse supernova gravitational waves
by: Morales, Manuel D., et al.
Published: (2024)
by: Morales, Manuel D., et al.
Published: (2024)
The Missing Multipole Problem: Investigating biases from model starting frequency in gravitational-wave analyses
by: Ursell, Ryan, et al.
Published: (2025)
by: Ursell, Ryan, et al.
Published: (2025)
Measuring gravitational wave memory with LISA
by: Inchauspé, Henri, et al.
Published: (2024)
by: Inchauspé, Henri, et al.
Published: (2024)
Eccentricity enables the earliest warning and localization of gravitational waves with ground-based detectors
by: Yang, Tao, et al.
Published: (2023)
by: Yang, Tao, et al.
Published: (2023)
Reconstructing source motion from gravitational wave strain
by: Bayley, Joseph, et al.
Published: (2024)
by: Bayley, Joseph, et al.
Published: (2024)
Sky localization of gravitational waves from eccentric binaries
by: Pal, Souradeep
Published: (2025)
by: Pal, Souradeep
Published: (2025)
Modelling noise in gravitational-wave observatories with transdimensional models
by: Guttman, Nir, et al.
Published: (2025)
by: Guttman, Nir, et al.
Published: (2025)
Quantum transitions of vector vortex light in gravitational waves
by: Wu, Haorong, et al.
Published: (2026)
by: Wu, Haorong, et al.
Published: (2026)
Potential impact of noise correlation in next-generation gravitational wave detectors
by: Wong, Isaac C. F., et al.
Published: (2024)
by: Wong, Isaac C. F., et al.
Published: (2024)
Space gravitational wave detection: Progress and outlook
by: Ni, Wei-Tou
Published: (2024)
by: Ni, Wei-Tou
Published: (2024)
Opportunities and limits of lunar gravitational-wave detection
by: Cozzumbo, Andrea, et al.
Published: (2023)
by: Cozzumbo, Andrea, et al.
Published: (2023)
Similar Items
-
Adaptive algorithms for low-latency cancellation of seismic Newtonian-noise at the Virgo gravitational-wave detector
by: Koley, Soumen, et al.
Published: (2024) -
Improving the scalability of Gaussian-process error marginalization in gravitational-wave inference
by: Liu, Miaoxin, et al.
Published: (2023) -
RNLE: Residual neural likelihood estimation and its application to gravitational-wave astronomy
by: Emma, Mattia, et al.
Published: (2026) -
Detection of the stochastic gravitational wave background with the space-borne gravitational-wave detector network
by: Cheng, Jun, et al.
Published: (2025) -
Time-dependent deflection reconstruction: new technique to search for gravitational waves with the cosmic microwave background
by: Leluc, Alvin, et al.
Published: (2025)