CDOM aph

[profxj]

Something somtehing

[Copilot]

Pull Request Overview

This PR introduces a new RatioPrior class to support CDOM/aph ratio priors and adds 2D histogram plotting capabilities. The changes enable more flexible prior configuration for Bayesian inference in bio-optical modeling.

Key Changes:

• Added RatioPrior class for handling ratio-based priors (e.g., CDOM/aph ratios) with Gaussian constraints
• Introduced hist2d function for 2D histogram plotting with contours and density maps
• Enhanced prior system with add_prior method and support for extra priors beyond individual parameters

Reviewed Changes

Copilot reviewed 4 out of 6 changed files in this pull request and generated 16 comments.

File	Description
bing/priors/priors.py	Implements RatioPrior class, refactors prior management with add_prior method, and updates calc method to handle both individual and ratio priors
bing/plotting.py	Adds hist2d function for 2D histogram visualization with contour and density plotting capabilities, including helper functions for axis limit management
bing/parameters/p_ntuple.py	Updates parameter documentation to clarify that apriors/bpriors are lists of dicts and adds othera_priors parameter
bing/fitting/l23.py	Adds support for ag (absorption by dissolved material) tracking, integrates othera_priors, and adds optional p0 parameter to fit_one function

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[Copilot]

@profxj I've opened a new pull request, #13, to work on those changes. Once the pull request is ready, I'll request review from you.

[Copilot]

@profxj I've opened a new pull request, #14, to work on those changes. Once the pull request is ready, I'll request review from you.