Massively parallel transdimensional sampling with data assimilation: an application to LISA galactic binaries

arXiv:2609.17674 · gr-qc, astro-ph.CO, astro-ph.IM · Submitted 2026-09-15 · Read on arXiv

gr-qc, astro-ph.CO, astro-ph.IM

Submitted: 2026-09-15

Updated: 2026-09-15

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Sequential Monte Carlo — 14× in this paper
• Bayesian Inference — 10× in this paper · explained in 5 episodes
• Normalizing Flow — 2× in this paper · explained in 3 episodes
• Normalizing Flows — 2× in this paper · explained in 4 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Degeneracy — 1× in this paper · explained in 3 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Laser Interferometer Space Antenna — 1× in this paper
• Reversible Jump Markov Chain Monte Carlo — 1× in this paper
• SMC with the No-U-Turn Sampler — 1× in this paper
• Sequential Monte Carlo (SMC) — 1× in this paper · explained in 2 episodes

Sources

• BayesLine: Bayesian Inference for Spectral Estimation of Gravitational Wave Detector Noise
• Is there an excess of black holes around $20 M_{\odot}$? Optimising the complexity of population models with the use of reversible jump MCMC
• A Conceptual Introduction to Markov Chain Monte Carlo Methods
• samsara: A Continuous-Time Markov Chain Monte Carlo Sampler for Trans-Dimensional Bayesian Analysis
• Advanced LIGO
• Advanced Virgo: a 2nd generation interferometric gravitational wave detector
• Nested Sampling with Normalising Flows for Gravitational-Wave Inference
• Fast gravitational wave parameter estimation without compromises
• Transdimensional Data Assimilation for dynamic model selection problems
• The Sequential Monte Carlo goes NUTS: Boosting Gravitational-Wave Inference
• MCMC using Hamiltonian dynamics
• BlackJAX: Composable Bayesian inference in JAX
• Exploring the sky localization and early warning capabilities of third generation gravitational wave detectors in three-detector network configurations
• Fast premerger detection of massive black-hole binaries in LISA based on time-frequency excess power
• Neural density estimation for Galactic Binaries in LISA data analysis

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