adaptivity logic questions
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edge case question: when during a substep one of SDs gets removed due to multiplicity dropping to zero, the
n//2 / n(n-1)//2scaling factor is recomputed for the remaining substeps with updatedn; while it seems OK, what if the removed droplet was actually using the full dt? or vice versa, it was removed during a substep and the earlier succesful droplets (with the full dt) would have a smaller probability? -
Is probability (and randomness) affected by only shuffling and retesting only pairs that originally needed the substep?
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In the multi cell diagram, we are confused about why cell 0 goes from 3 pairs to testing two.. did one successfully complete a timestep?
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General scaling factor confusion
- Extend the multi-cell test: https://github.com/open-atmos/PySDM/blob/main/tests/unit_tests/dynamics/collisions/test_sdm_multi_cell.py (so that answers to questions like 3 are addressed in the test)
(analogously, a new test depicting the question from 1 would be worth adding!)
Stale issue message
@emmacware, shall we close this issue?