Parity plots

[beckynevin]

No description provided.

[beckynevin]

This could be expanded to parity difference and parity difference covariance plots.

[bnord]

for modularity, should these each be their own function (parity diff, parity difference covariance, parity), or should they inherit(wc?) from each other?

[bnord]

Parity plots = 1-1 plots = p-p plots = true vs. predicted plots

[bnord]

parity difference plot = true - predicted vs. true (y-axis vs x-axis)

variants include
residual: (true - predicted / true) vs. true
percentage: (true - predicted / true)*100 vs. true

[bnord]

often the parity difference plot goes directly underneath the parity plot and share their x-axes.

[bnord]

The parity difference covariance plot is a corner plot, where they independent and dependent variables are the difference between true and expected. JasonPoh came up with this, and has examples in his strong lensing repository.

[bnord]

Here are some examples of parity plots

[bnord]

[bnord]

these are residuals like what's in the lower panel of the above comment.
1_param_corner_42.pdf

[bnord]

This is an example of a parity difference plot
5param_corner_465.pdf

[voetberg]

Any strong feelings on this? The difference, residuals, and percentage plots are all optional.

[bnord]

I like this. I also envision a few variations. But, I think we can go with this as the baseline, and then we can make some updates later. Does that sound right?