Improved Constraints on Non-Kerr Deviations from Binary Black Hole Inspirals Using GWTC-4 Data
Fuente:
arXiv
Saved in:
| Main Authors: | Das, Debtroy, Shashank, Swarnim, Bambi, Cosimo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Non-Kerr Constraints using Binary Black Hole inspirals considering phase modifications up to 4 PN order
by: Das, Debtroy, et al.
Published: (2024)
by: Das, Debtroy, et al.
Published: (2024)
Testing General Relativity with Black Hole X-Ray Data and ABHModels
by: Bambi, Cosimo, et al.
Published: (2023)
by: Bambi, Cosimo, et al.
Published: (2023)
Testing black hole metrics with binary black hole inspirals
by: Zhao, Zhe, et al.
Published: (2025)
by: Zhao, Zhe, et al.
Published: (2025)
Testing the Kerr nature with binary black hole inspirals
by: Shashank, Swarnim, et al.
Published: (2024)
by: Shashank, Swarnim, et al.
Published: (2024)
Quasi-normal modes of slowly-rotating Johannsen black holes
by: Guo, Yuhao, et al.
Published: (2024)
by: Guo, Yuhao, et al.
Published: (2024)
Improving the Cosmological Constraints by Inferring the Formation Channel of Extreme-mass-ratio Inspirals
by: Zhu, Liang-Gui, et al.
Published: (2024)
by: Zhu, Liang-Gui, et al.
Published: (2024)
Testing Regular Black Holes with X-ray data of GX 339-4
by: Riaz, Shafqat, et al.
Published: (2023)
by: Riaz, Shafqat, et al.
Published: (2023)
Validating Prior-informed Fisher-matrix Analyses against GWTC Data
by: Dupletsa, Ulyana, et al.
Published: (2024)
by: Dupletsa, Ulyana, et al.
Published: (2024)
Pre-Merger Detection and Characterization of Inspiraling Binary Neutron Stars Derived from Neural Posterior Estimation
by: van Straalen, Wouter, et al.
Published: (2024)
by: van Straalen, Wouter, et al.
Published: (2024)
Probing missing physics from inspiralling compact binaries via time-frequency tracks
by: Das, Debtroy, et al.
Published: (2025)
by: Das, Debtroy, et al.
Published: (2025)
Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries
by: Strub, Stefan H., et al.
Published: (2024)
by: Strub, Stefan H., et al.
Published: (2024)
Constraining the Deviation of Kerr Metric via Bumpy Parameterization and Particle Swarm Optimization in Extreme Mass-Ratio Inspirals
by: Zou, Xiaobo, et al.
Published: (2025)
by: Zou, Xiaobo, et al.
Published: (2025)
Fast and Fourier: Extreme Mass Ratio Inspiral Waveforms in the Frequency Domain
by: Speri, Lorenzo, et al.
Published: (2023)
by: Speri, Lorenzo, et al.
Published: (2023)
Testing Gravity with Black Hole X-Ray Data
by: Bambi, Cosimo
Published: (2022)
by: Bambi, Cosimo
Published: (2022)
Sensitivity of Weak Lensing Surveys to Gravitational Waves from Inspiraling Supermassive Black Hole Binaries
by: Adi, Tal, et al.
Published: (2025)
by: Adi, Tal, et al.
Published: (2025)
Impact of Correlations on the Modeling and Inference of Beyond Vacuum-GR Effects in Extreme-Mass-Ratio Inspirals
by: Kejriwal, Shubham, et al.
Published: (2023)
by: Kejriwal, Shubham, et al.
Published: (2023)
Signal-to-noise Ratio Analytic Formulae of the Inspiral Binary Black Holes in TianQin
by: Chen, Hong-Yu, et al.
Published: (2024)
by: Chen, Hong-Yu, et al.
Published: (2024)
On the observational distinguishability of the Kerr and Kerr-Hayward metrics to EHT
by: Bukowiecka, Nikola, et al.
Published: (2026)
by: Bukowiecka, Nikola, et al.
Published: (2026)
Pre-localization of Massive Black Hole Binaries in the Millihertz Band
by: Zhang, Xue-Ting, et al.
Published: (2026)
by: Zhang, Xue-Ting, et al.
Published: (2026)
A Search for Binary Black Hole Mergers in LIGO O1-O3 Data with Convolutional Neural Networks
by: Silver, Ethan, et al.
Published: (2025)
by: Silver, Ethan, et al.
Published: (2025)
Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data
by: Kumar, Sumit, et al.
Published: (2026)
by: Kumar, Sumit, et al.
Published: (2026)
Searching for quasinormal modes from Binary Black Hole mergers
by: Królak, A., et al.
Published: (2025)
by: Królak, A., et al.
Published: (2025)
Search for Microlensing Signature in Gravitational Waves from Binary Black Hole Events
by: Kim, Kyungmin
Published: (2022)
by: Kim, Kyungmin
Published: (2022)
Methods for Detecting Gravitational Waves from mini-Extreme-Mass-Ratio Inspirals II: A Spectral-Leakage-Aware Framework
by: Wang, Zi-Xuan, et al.
Published: (2025)
by: Wang, Zi-Xuan, et al.
Published: (2025)
Simulation-based Inference of Massive Black Hole Binaries using Sequential Neural Likelihood
by: Vílchez, Iván Martín, et al.
Published: (2025)
by: Vílchez, Iván Martín, et al.
Published: (2025)
Methods for Detecting Gravitational Waves from mini-Extreme-Mass-Ratio Inspirals I: Statistics Based on Time-Frequency Signal Tracks
by: Wang, Zi-Xuan, et al.
Published: (2025)
by: Wang, Zi-Xuan, et al.
Published: (2025)
Stellar-Mass Black Holes
by: Bambi, Cosimo
Published: (2025)
by: Bambi, Cosimo
Published: (2025)
Efficient Massive Black Hole Binary parameter estimation for LISA using Sequential Neural Likelihood
by: Vílchez, Iván Martín, et al.
Published: (2024)
by: Vílchez, Iván Martín, et al.
Published: (2024)
Black hole X-ray spectra: notes on the relativistic calculations
by: Bambi, Cosimo
Published: (2024)
by: Bambi, Cosimo
Published: (2024)
Quantifying the Scientific Potential of Intermediate and Extreme Mass Ratio Inspirals with the Laser Interferometer Space Antenna
by: Speri, Lorenzo, et al.
Published: (2026)
by: Speri, Lorenzo, et al.
Published: (2026)
GW-FALCON: A Novel Feature-Driven Deep Learning Approach for Early Warning Alerts of BNS and NSBH Inspirals in Next-Generation GW Observatories
by: Papigkiotis, Grigorios, et al.
Published: (2026)
by: Papigkiotis, Grigorios, et al.
Published: (2026)
Constraining the Fraction of LIGO/Virgo/KAGRA Binary Black Hole Merger Events Associated with Active Galactic Nucleus Flares
by: Zhu, Liang-Gui, et al.
Published: (2026)
by: Zhu, Liang-Gui, et al.
Published: (2026)
Simulation-based Inference for Gravitational Waves from Binary Neutron Stars: Application of Summary Data from Heterodyning
by: Iwaya, Masaki, et al.
Published: (2026)
by: Iwaya, Masaki, et al.
Published: (2026)
Compact Binary Coalescence Gravitational Wave Signals Counting and Separation
by: Zhao, Tianyu, et al.
Published: (2024)
by: Zhao, Tianyu, et al.
Published: (2024)
Black Hole Vision: An Interactive iOS Application for Visualizing Black Holes
by: Berens, Roman, et al.
Published: (2026)
by: Berens, Roman, et al.
Published: (2026)
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)
Seeing Black Holes : from the Computer to the Telescope
by: Luminet, Jean-Pierre
Published: (2018)
by: Luminet, Jean-Pierre
Published: (2018)
Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
by: Hu, Qian, et al.
Published: (2024)
by: Hu, Qian, et al.
Published: (2024)
X-ray spectra of black hole X-ray binaries with returning radiation
by: Mirzaev, Temurbek, et al.
Published: (2024)
by: Mirzaev, Temurbek, et al.
Published: (2024)
Theoretical Foundation of Black Hole Image Reconstruction using PRIMO
by: Psaltis, Dimitrios, et al.
Published: (2024)
by: Psaltis, Dimitrios, et al.
Published: (2024)
Similar Items
-
Non-Kerr Constraints using Binary Black Hole inspirals considering phase modifications up to 4 PN order
by: Das, Debtroy, et al.
Published: (2024) -
Testing General Relativity with Black Hole X-Ray Data and ABHModels
by: Bambi, Cosimo, et al.
Published: (2023) -
Testing black hole metrics with binary black hole inspirals
by: Zhao, Zhe, et al.
Published: (2025) -
Testing the Kerr nature with binary black hole inspirals
by: Shashank, Swarnim, et al.
Published: (2024) -
Quasi-normal modes of slowly-rotating Johannsen black holes
by: Guo, Yuhao, et al.
Published: (2024)