#2629: MoL_PseudoEvolution vs ANALYSIS

Reporter: Gabriele Bozzola Status: new Milestone: Version: Type: bug Priority: major Component:

Changes (by Gabriele Bozzola): Consider a thorn like `NPScalars` in the canuda arrangement.

`NPScalars` computes the Newman-Penrose grid functions in the `CCTK_ANALYSIS` bin. The operation requires taking derivatives. Similarly, `LeanBSSNMoL` computes the constraints in the same bin (this will likely be a regression I introduced in commit 80b6b1b).

My understanding is now that `CCTK_ANALYSIS` is not the right place where to do this because of interpolation/prolongation/notsurewhat.

Is the fix to simply replace `CCTK_ANALYSIS` with `MoL_PseudoEvolution`?

I would like to make sure that this is the case considering also parameters like `compute_every`. Since these are expensive diagnostics, it is best to compute them only when they are output. Do I get the correct constraints/scalars if I compute and output them only when all the refinement levels are synced?

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-- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2629/mol_pseudoevolutio...