Welcome to JESTER! This guide introduces the core concepts and components of the library.
Overview#
TO MOVE
Currently, jester supports the following EOS parametrizations:
Metamodel: Taylor expansion of the energy density.
Metamodel+CSE: Metamodel up to breakdown density (varied on-the-fly), and speed-of-sound extrapolation above the breakdown density parametrized by linear interpolation through a grid of speed of sound values.
Metamodel+peakCSE: Metamodel up to breakdown density (varied on-the-fly), and speed-of-sound extrapolation above the breakdown density parametrized to have a Gaussian peak.
Spectral expansion: 4-parameter spectral expansion from Lindblom 2010
Moreover, the following samplers are supported:
Sequential Monte Carlo (Recommended): Implemented with blackjax
Nested sampling: Implemented in blackjax in this specific fork
flowMC (GitHub): Normalizing flow-enhanced MCMC sampling
- Equation of State (EOS) Models
Overview of EOS parametrizations available in JESTER.
- TOV Solvers
Introduction to Tolman-Oppenheimer-Volkoff equation solvers.
- Samplers
Bayesian sampling methods for EOS inference.
- Likelihood Constraints
Observational constraints from multi-messenger astronomy.