Cover Image

Accelerated nested sampling with posterior repartitioning and $β$-flows for gravitational waves

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Prathaban, Metha, Bevins, Harry, Handley, Will
Format:	Preprint
Published:	2024
Subjects:	Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena General Relativity and Quantum Cosmology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Costless correction of chain based nested sampling parameter estimation in gravitational wave data and beyond
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)

Gravitational-wave inference at GPU speed: A bilby-like nested sampling kernel within blackjax-ns
by: Prathaban, Metha, et al.
Published: (2025)

Reconstructing and resampling: a guide to utilising posterior samples from gravitational wave observations
by: Ashton, Gregory
Published: (2025)

Rapid inference and comparison of gravitational-wave population models with neural variational posteriors
by: Mould, Matthew, et al.
Published: (2025)

Calibrating gravitational-wave search algorithms with conformal prediction
by: Ashton, Gregory, et al.
Published: (2024)

Parallel Nested Slice Sampling for Gravitational Wave Parameter Estimation
by: Yallup, David, et al.
Published: (2025)

The Missing Multipole Problem: Investigating biases from model starting frequency in gravitational-wave analyses
by: Ursell, Ryan, et al.
Published: (2025)

Variance of gravitational-wave populations
by: Corelli, Alessia, et al.
Published: (2026)

Normalizing flows for density estimation in multi-detector gravitational-wave searches
by: Insley, Sam, et al.
Published: (2026)

Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows
by: Polanska, Alicja, et al.
Published: (2024)

On the exceptionality of exceptional gravitational-wave events
by: Tenorio, Rodrigo, 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)

Toward robust detections of nanohertz gravitational waves
by: Di Marco, Valentina, et al.
Published: (2023)

Probing Supernovae through gravitational wave entropy
by: Sakan, Aknur, et al.
Published: (2025)

Incorporation of model accuracy in gravitational wave Bayesian inference
by: Hoy, Charlie, et al.
Published: (2024)

Model-agnostic gravitational-wave background characterization algorithm
by: Knapp, Taylor, et al.
Published: (2025)

Searching for gravitational-wave bursts with space-borne detectors
by: Wu, Zheng, et al.
Published: (2023)

Swiftly chasing gravitational waves across the sky in real-time
by: Tohuvavohu, Aaron, et al.
Published: (2024)

Simultaneously search for multi-target Galactic binary gravitational waves
by: Gao, Pin, et al.
Published: (2024)

A frequency resolved atlas of the sky in continuous gravitational waves
by: Dergachev, Vladimir, et al.
Published: (2022)

State-space algorithm for detecting the nanohertz gravitational wave background
by: Kimpson, Tom, et al.
Published: (2025)

Neural Bayesian updates to populations with growing gravitational-wave catalogs
by: Wolfe, Noah E., et al.
Published: (2026)

On the angular localization of gravitational-wave signals by pulsar timing arrays
by: Taylor, Stephen R.
Published: (2026)

Detection of astrophysical gravitational wave sources by TianQin and LISA
by: Torres-Orjuela, Alejandro, et al.
Published: (2023)

Hankel low-rank matrix approximation for gravitational-wave data analysis
by: Geissler, Nicholas, et al.
Published: (2026)

Significant challenges for astrophysical inference with next-generation gravitational-wave observatories
by: Baker, A. Makai, et al.
Published: (2025)

On the use and interpretation of signal-model indistinguishability measures for gravitational-wave astronomy
by: Thompson, Jonathan E., et al.
Published: (2025)

Outer Solar System spacecraft to probe the $μ$Hz gravitational wave frontier
by: McQuinn, Matthew, et al.
Published: (2024)

Background information: a study on the sensitivity of astrophysical gravitational-wave background searches
by: Renzini, Arianna I., et al.
Published: (2024)

Classification uncertainty for transient gravitational-wave noise artefacts with optimised conformal prediction
by: Malz, Ann-Kristin, et al.
Published: (2024)

labrador: A domain-optimized machine-learning tool for gravitational wave inference
by: Roulet, Javier, et al.
Published: (2026)

A practical Bayesian method for gravitational-wave ringdown analysis with multiple modes
by: Dong, Yiming, et al.
Published: (2025)

Anatomy of parameter-estimation biases in overlapping gravitational-wave signals: detector network
by: Wang, Ziming, et al.
Published: (2025)

Efficient gravitational-wave model for fully-precessing and moderately-eccentric, compact binary inspirals
by: Arredondo, J. Nijaid, et al.
Published: (2024)

Fast marginalization algorithm for optimizing gravitational wave detection, parameter estimation and sky localization
by: Roulet, Javier, et al.
Published: (2024)

Constructing a gravitational wave analysis pipeline for extremely large mass ratio inspirals
by: Wang, Tian-Xiao, et al.
Published: (2026)

Reconsidering the consistent use of precessing, higher order multipole models for gravitational wave analyses
by: Hoy, Charlie
Published: (2026)

Impact of the observation frequency coverage on the significance of a gravitational wave background detection in PTA data
by: Ferranti, Irene, 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)