A neural network for estimating compact binary coalescence parameters of gravitational-wave events in real time
Fuente:
arXiv
Saved in:
| Main Authors: | Chaudhary, Sushant Sharma, Puleo, Gianmarco, Cavaglia, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Next-generation global gravitational-wave detector network: Impact of detector orientation on compact binary coalescence and stochastic gravitational-wave background searches
by: Ebersold, Michael, et al.
Published: (2024)
by: Ebersold, Michael, et al.
Published: (2024)
A $χ^2$ statistic for the identification of strongly lensed gravitational waves from compact binary coalescences
by: Gholap, Sudhir, et al.
Published: (2025)
by: Gholap, Sudhir, et al.
Published: (2025)
A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences
by: Marx, Ethan, et al.
Published: (2024)
by: Marx, Ethan, et al.
Published: (2024)
Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries
by: Whittall, Christopher, et al.
Published: (2026)
by: Whittall, Christopher, et al.
Published: (2026)
Anatomy of parameter-estimation biases in overlapping gravitational-wave signals: detector network
by: Wang, Ziming, et al.
Published: (2025)
by: Wang, Ziming, et al.
Published: (2025)
Robust parameter estimation within minutes on gravitational wave signals from binary neutron star inspirals
by: Wouters, Thibeau, et al.
Published: (2024)
by: Wouters, Thibeau, et al.
Published: (2024)
Training a neural network to rapidly identify candidate gravitational-wave events in the lower mass gap
by: Raza, Nayyer, et al.
Published: (2026)
by: Raza, Nayyer, et al.
Published: (2026)
PRINCESS: Prediction of compact binaries observations with gravitational waves
by: Périgois, Carole
Published: (2025)
by: Périgois, Carole
Published: (2025)
Efficient gravitational-wave model for fully-precessing and moderately-eccentric, compact binary inspirals
by: Arredondo, J. Nijaid, et al.
Published: (2024)
by: Arredondo, J. Nijaid, et al.
Published: (2024)
Unified $χ^2$ discriminators for gravitational wave searches from compact coalescing binaries
by: Dhurandhar, Sanjeev
Published: (2025)
by: Dhurandhar, Sanjeev
Published: (2025)
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)
On the exceptionality of exceptional gravitational-wave events
by: Tenorio, Rodrigo, et al.
Published: (2026)
by: Tenorio, Rodrigo, et al.
Published: (2026)
Fast marginalization algorithm for optimizing gravitational wave detection, parameter estimation and sky localization
by: Roulet, Javier, et al.
Published: (2024)
by: Roulet, Javier, et al.
Published: (2024)
Swiftly chasing gravitational waves across the sky in real-time
by: Tohuvavohu, Aaron, et al.
Published: (2024)
by: Tohuvavohu, Aaron, et al.
Published: (2024)
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)
Costless correction of chain based nested sampling parameter estimation in gravitational wave data and beyond
by: Prathaban, Metha, et al.
Published: (2024)
by: Prathaban, Metha, et al.
Published: (2024)
Leveraging rapid parameter estimates for efficient gravitational-wave Bayesian inference via posterior repartitioning
by: Prathaban, Metha, et al.
Published: (2026)
by: Prathaban, Metha, et al.
Published: (2026)
Can Transformers help us perform parameter estimation of overlapping signals in gravitational wave detectors?
by: Papalini, Lucia, et al.
Published: (2025)
by: Papalini, Lucia, et al.
Published: (2025)
Simultaneously search for multi-target Galactic binary gravitational waves
by: Gao, Pin, et al.
Published: (2024)
by: Gao, Pin, et al.
Published: (2024)
Pinpointing coalescing binary neutron star sources with the IGWN, including LIGO-Aundha
by: Shukla, Sachin R., et al.
Published: (2023)
by: Shukla, Sachin R., et al.
Published: (2023)
Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders
by: Bada-Nerin, Roberto, et al.
Published: (2024)
by: Bada-Nerin, Roberto, et al.
Published: (2024)
Rapid inference and comparison of gravitational-wave population models with neural variational posteriors
by: Mould, Matthew, et al.
Published: (2025)
by: Mould, Matthew, et al.
Published: (2025)
Search for gravitational waves from eccentric binary black holes with an effective-one-body template
by: Wang, Yi-Fan, et al.
Published: (2025)
by: Wang, Yi-Fan, et al.
Published: (2025)
Rapid pre-merger localization of binary neutron stars in third generation gravitational wave detectors
by: Hu, Qian, et al.
Published: (2023)
by: Hu, Qian, et al.
Published: (2023)
Rigorous analytic solution to the gravitational-wave overlapping event rates
by: Wang, Ziming, et al.
Published: (2025)
by: Wang, Ziming, et al.
Published: (2025)
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows
by: Polanska, Alicja, et al.
Published: (2024)
by: Polanska, Alicja, et al.
Published: (2024)
Rapid parameter estimation for pulsar-timing-array datasets with variational inference and normalizing flows
by: Vallisneri, Michele, et al.
Published: (2024)
by: Vallisneri, Michele, et al.
Published: (2024)
Toward robust detections of nanohertz gravitational waves
by: Di Marco, Valentina, et al.
Published: (2023)
by: Di Marco, Valentina, 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)
On the angular localization of gravitational-wave signals by pulsar timing arrays
by: Taylor, Stephen R.
Published: (2026)
by: Taylor, Stephen R.
Published: (2026)
Not too close! Evaluating the impact of the baseline on the localization of binary black holes by next-generation gravitational-wave detectors
by: Iacovelli, Francesco, et al.
Published: (2026)
by: Iacovelli, Francesco, et al.
Published: (2026)
Exploring the evolution of gravitational-wave emitters with efficient emulation: Constraining the origins of binary black holes using normalising flows
by: Colloms, Storm, et al.
Published: (2025)
by: Colloms, Storm, et al.
Published: (2025)
Phase consistency test to identify type II strongly lensed gravitational wave signals using a single event
by: Taylor, Kelsie, et al.
Published: (2024)
by: Taylor, Kelsie, et al.
Published: (2024)
Variance of gravitational-wave populations
by: Corelli, Alessia, et al.
Published: (2026)
by: Corelli, Alessia, et al.
Published: (2026)
Hierarchical search method for gravitational waves from stellar-mass binary black holes in noisy space-based detector data
by: Fu, Yao, et al.
Published: (2024)
by: Fu, Yao, et al.
Published: (2024)
labrador: A domain-optimized machine-learning tool for gravitational wave inference
by: Roulet, Javier, et al.
Published: (2026)
by: Roulet, Javier, et al.
Published: (2026)
Variational inference for correlated gravitational wave detector network noise
by: Liu, Jianan, et al.
Published: (2024)
by: Liu, Jianan, et al.
Published: (2024)
Inferring the properties of a population of compact binaries in presence of selection effects
by: Vitale, Salvatore, et al.
Published: (2020)
by: Vitale, Salvatore, et al.
Published: (2020)
Improved post-Newtonian waveform model for inspiralling precessing-eccentric compact binaries
by: Morras, Gonzalo, et al.
Published: (2025)
by: Morras, Gonzalo, et al.
Published: (2025)
Posterior predictive checking for gravitational-wave detection with pulsar timing arrays: I. The optimal statistic
by: Vallisneri, Michele, et al.
Published: (2023)
by: Vallisneri, Michele, et al.
Published: (2023)
Similar Items
-
Next-generation global gravitational-wave detector network: Impact of detector orientation on compact binary coalescence and stochastic gravitational-wave background searches
by: Ebersold, Michael, et al.
Published: (2024) -
A $χ^2$ statistic for the identification of strongly lensed gravitational waves from compact binary coalescences
by: Gholap, Sudhir, et al.
Published: (2025) -
A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences
by: Marx, Ethan, et al.
Published: (2024) -
Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries
by: Whittall, Christopher, et al.
Published: (2026) -
Anatomy of parameter-estimation biases in overlapping gravitational-wave signals: detector network
by: Wang, Ziming, et al.
Published: (2025)