Feature Tracker

[benjaminpope]

Here are some features we need to implement:

Basic Features

• [ ] Visibility functions for rings, gaussians (#22)
• [x] Improve syntax for vmapped functions
• [ ] Model evidences by Laplace
• [ ] Monte Carlo injection-recovery
• [ ] ROC Curves from evidence / injection recovery
• [x] Automatic plotting functions
• [ ] Interface to MCMC libraries (eg BlackJax, NumPyro) (#12)

API Features

• [x] Unify APIs of all likelihood functions (eg what is a contrast?)
• [x] Model specification by equinox object
• [ ] Hierarchical model specification (Issue #20)
• [ ] Interface with dLux (#22)
• [ ] Interface with Harmonix (#22)
• [ ] interface with @shashankdholakia's ELR models (#22)
• [x] Fix spaghetti code calling implaneia for IO, simplify dependencies
• [ ] Rationalize functions and classes appropriately into models.py, inference.py, utils.py etc
• [ ] Fix convention about jnp, np vs np, jnp #21

Unit Tests

• [x] Unit tests for gridding
• [x] Unit tests for plotting

Docs

• [ ] Document all visibility functions
• [ ] Document all likelihood functions
• [ ] Document data IO
• [ ] Document plotting functions

Examples

• [ ] Comparison of contrast detection limits with Absil, Ruffio, UQ methods
• [ ] Contrast curve for non-binary source
• [ ] MCMC fitting example (#12)
• [ ] Fix data directory to have something attractive + public there for examples and unit tests

[benjaminpope]

vmap syntax, object-oriented model specification, automatic plotting code, unit tests, and unification of likelihoods to use flux (not contrast) completed in PR #11.