Argus: JAX state-space filtering for gravitational wave detection with a pulsar timing array

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Kimpson, Tom, O'Neill, Nicholas J., Meyers, Patrick M., Melatos, Andrew
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866912644344053760
author Kimpson, Tom
O'Neill, Nicholas J.
Meyers, Patrick M.
Melatos, Andrew
author_facet Kimpson, Tom
O'Neill, Nicholas J.
Meyers, Patrick M.
Melatos, Andrew
contents Argus is a high-performance Python package for detecting and characterising nanohertz gravitational waves in pulsar timing array data. The package provides a complete Bayesian inference framework based on state-space models, using Kalman filtering for efficient likelihood evaluation. Argus leverages JAX for just-in-time compilation, GPU acceleration, and automatic differentiation, facilitating rapid Bayesian inference with gradient-based samplers. The state-space approach provides a computationally efficient alternative to traditional frequency-domain methods, offering linear scaling with the number of pulse times-of-arrival, and natural handling of non-stationary processes.
format Preprint
id arxiv_https___arxiv_org_abs_2510_11077
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Argus: JAX state-space filtering for gravitational wave detection with a pulsar timing array
Kimpson, Tom
O'Neill, Nicholas J.
Meyers, Patrick M.
Melatos, Andrew
Instrumentation and Methods for Astrophysics
Argus is a high-performance Python package for detecting and characterising nanohertz gravitational waves in pulsar timing array data. The package provides a complete Bayesian inference framework based on state-space models, using Kalman filtering for efficient likelihood evaluation. Argus leverages JAX for just-in-time compilation, GPU acceleration, and automatic differentiation, facilitating rapid Bayesian inference with gradient-based samplers. The state-space approach provides a computationally efficient alternative to traditional frequency-domain methods, offering linear scaling with the number of pulse times-of-arrival, and natural handling of non-stationary processes.
title Argus: JAX state-space filtering for gravitational wave detection with a pulsar timing array
topic Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2510.11077