Optimizing Neural Network Surrogate Models: Application to Black Hole Merger Remnants
Fuente:
arXiv
Saved in:
| Main Authors: | Thomas, Lucy M., Chatziioannou, Katerina, Varma, Vijay, Field, Scott E. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mapping Parameter Correlations in Spinning Binary Black Hole Mergers
by: Kang, Karen, et al.
Published: (2025)
by: Kang, Karen, et al.
Published: (2025)
GW190521: tracing imprints of spin-precession on the most massive black hole binary
by: Miller, Simona J., et al.
Published: (2023)
by: Miller, Simona J., et al.
Published: (2023)
Measuring spin precession from massive black hole binaries with gravitational waves: insights from time-domain signal morphology
by: Miller, Simona J., et al.
Published: (2025)
by: Miller, Simona J., et al.
Published: (2025)
Revisiting the Coprecessing Frame in the Presence of Orbital Eccentricity
by: Thomas, Lucy M., et al.
Published: (2026)
by: Thomas, Lucy M., et al.
Published: (2026)
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)
Using Equation of State Constraints to Classify Low-Mass Compact Binary Mergers
by: Golomb, Jacob, et al.
Published: (2024)
by: Golomb, Jacob, et al.
Published: (2024)
Gravitational waves carry information beyond effective spin parameters but it is hard to extract
by: Miller, Simona J., et al.
Published: (2024)
by: Miller, Simona J., et al.
Published: (2024)
Secular Outflows from Long-Lived Neutron Star Merger Remnants
by: Radice, David, et al.
Published: (2023)
by: Radice, David, et al.
Published: (2023)
Accretion onto a Supermassive Black Hole Binary Before Merger
by: Avara, Mark J., et al.
Published: (2023)
by: Avara, Mark J., et al.
Published: (2023)
Numerical Relativity Estimates of the Remnant Recoil Velocity in Binary Neutron Star Mergers
by: Kulkarni, Sumeet, et al.
Published: (2023)
by: Kulkarni, Sumeet, et al.
Published: (2023)
Magnetic Field Configurations in Binary Neutron Star Mergers I: Post-merger Remnant and Disk
by: Gutiérrez, Eduardo M., et al.
Published: (2025)
by: Gutiérrez, Eduardo M., et al.
Published: (2025)
2D End-to-End Modeling of Kilonovae from Binary Neutron Star Merger Remnants
by: Groenewegen, Lieke Sippens, et al.
Published: (2025)
by: Groenewegen, Lieke Sippens, et al.
Published: (2025)
Posterior Predictive Checks for Gravitational-wave Populations: Limitations and Improvements
by: Miller, Simona J., et al.
Published: (2026)
by: Miller, Simona J., et al.
Published: (2026)
Structure and Skewness of the Effective Inspiral Spin Distribution of Binary Black Hole Mergers
by: Banagiri, Sharan, et al.
Published: (2025)
by: Banagiri, Sharan, et al.
Published: (2025)
Chase Orbits, not Time: A Scalable Paradigm for Long-Duration Eccentric Gravitational-Wave Surrogates
by: Maurya, Akash, et al.
Published: (2025)
by: Maurya, Akash, et al.
Published: (2025)
Assessing the Relative Importance of Neutrino Matter Interaction Channels in Post-Merger Remnant of Binary Neutron Stars
by: Rath, Samantha, et al.
Published: (2026)
by: Rath, Samantha, et al.
Published: (2026)
Exploring the Potential for Detecting Rotational Instabilities in Binary Neutron Star Merger Remnants with Gravitational Wave Detectors
by: Sasli, Argyro, et al.
Published: (2023)
by: Sasli, Argyro, et al.
Published: (2023)
Impact of Magnetic Field Topology on Electromagnetic and Gravitational Waves from Binary Neutron Star Merger Remnants
by: Rainho, Inês, et al.
Published: (2025)
by: Rainho, Inês, et al.
Published: (2025)
Probing Binary Neutron Star Merger Ejecta and Remnants with Gravitational Wave and Radio Observations
by: Merfeld, Kara, et al.
Published: (2025)
by: Merfeld, Kara, et al.
Published: (2025)
Gravitational Wave Detector Sensitivity to Eccentric Black Hole Mergers
by: Bhaumik, Shubhagata, et al.
Published: (2024)
by: Bhaumik, Shubhagata, et al.
Published: (2024)
Probing Supermassive Black Hole Mergers with Pulsar Timing Arrays
by: Leclere, Hippolyte Quelquejay
Published: (2026)
by: Leclere, Hippolyte Quelquejay
Published: (2026)
Signatures of Low Mass Black Hole-Neutron Star Mergers
by: Matur, Rahime, et al.
Published: (2024)
by: Matur, Rahime, et al.
Published: (2024)
The directional isotropy of LIGO-Virgo binaries
by: Isi, Maximiliano, et al.
Published: (2023)
by: Isi, Maximiliano, et al.
Published: (2023)
The curvature dependence of gravitational-wave tests of General Relativity
by: Payne, Ethan, et al.
Published: (2024)
by: Payne, Ethan, et al.
Published: (2024)
Merger remnant and eccentricity dynamics surrogates for eccentric nonspinning black hole binaries
by: Ravichandran, Adhrit, et al.
Published: (2026)
by: Ravichandran, Adhrit, et al.
Published: (2026)
Insights into Supermassive Black Hole Mergers from the Gravitational Wave Background
by: Mingarelli, C. M. F., et al.
Published: (2025)
by: Mingarelli, C. M. F., et al.
Published: (2025)
Resolving the Stellar-Collapse and Hierarchical-Merger origins of the Coalescing Black Holes
by: Li, Yin-Jie, et al.
Published: (2023)
by: Li, Yin-Jie, et al.
Published: (2023)
Coalescence Forensics: Weighing the Hosts of Hierarchical Binary Black Hole Mergers
by: Tiwari, Avinash, et al.
Published: (2026)
by: Tiwari, Avinash, et al.
Published: (2026)
Large Eddy Simulations of Magnetized Mergers of Black Holes and Neutron Stars
by: Izquierdo, Manuel R., et al.
Published: (2024)
by: Izquierdo, Manuel R., et al.
Published: (2024)
Gravitational-wave model for neutron star merger remnants with supervised learning
by: Soultanis, Theodoros, et al.
Published: (2024)
by: Soultanis, Theodoros, et al.
Published: (2024)
Finding Supermassive Black Hole Binary Mergers in Pulsar Timing Array Data
by: Tomson, Sharon Mary, et al.
Published: (2025)
by: Tomson, Sharon Mary, et al.
Published: (2025)
Gravitational-wave Observations Suggest Most Black Hole Mergers Form in Triples
by: Stegmann, Jakob, et al.
Published: (2025)
by: Stegmann, Jakob, et al.
Published: (2025)
Eccentricity Effects on Modeling Dynamic Quantities and Their Correlations in Binary Black Hole Mergers
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
Source Confusion from Neutron Star Binaries in Ground-Based Gravitational Wave Detectors is Minimal
by: Johnson, Aaron D., et al.
Published: (2024)
by: Johnson, Aaron D., et al.
Published: (2024)
Ab-Initio General-Relativistic Neutrino-Radiation Hydrodynamics Simulations of Long-Lived Neutron Star Merger Remnants to Neutrino Cooling Timescales
by: Radice, David, et al.
Published: (2023)
by: Radice, David, et al.
Published: (2023)
A Reproducible Black Hole-Neutron Star Merger Gallery Example for the Einstein Toolkit
by: Matur, Rahime, et al.
Published: (2026)
by: Matur, Rahime, et al.
Published: (2026)
How to Escape from a Trap: Outcomes of Repeated Black Hole Mergers in AGN
by: Gilbaum, Shmuel, et al.
Published: (2024)
by: Gilbaum, Shmuel, et al.
Published: (2024)
Archival Multiband Gravitational-Wave Signals from Massive Black Hole Binary Mergers
by: Criswell, Alexander W., et al.
Published: (2026)
by: Criswell, Alexander W., et al.
Published: (2026)
The impact of selection biases on tests of general relativity with gravitational-wave inspirals
by: Magee, Ryan, et al.
Published: (2023)
by: Magee, Ryan, et al.
Published: (2023)
Background information: a study on the sensitivity of astrophysical gravitational-wave background searches
by: Renzini, Arianna I., et al.
Published: (2024)
by: Renzini, Arianna I., et al.
Published: (2024)
Similar Items
-
Mapping Parameter Correlations in Spinning Binary Black Hole Mergers
by: Kang, Karen, et al.
Published: (2025) -
GW190521: tracing imprints of spin-precession on the most massive black hole binary
by: Miller, Simona J., et al.
Published: (2023) -
Measuring spin precession from massive black hole binaries with gravitational waves: insights from time-domain signal morphology
by: Miller, Simona J., et al.
Published: (2025) -
Revisiting the Coprecessing Frame in the Presence of Orbital Eccentricity
by: Thomas, Lucy M., et al.
Published: (2026) -
labrador: A domain-optimized machine-learning tool for gravitational wave inference
by: Roulet, Javier, et al.
Published: (2026)