PySDM
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Seeding improvements
- Shuffle logic: e.g. don't need to shuffle if only one type of seed particle or if the number of super particles to inject is equal to the number of possible seeds.
- Example comparison from literature (maybe https://doi.org/10.1098/rsta.2012.0086), some other candidate papers listed in #1331
- Example of seeding in 1D and 2D domains
- Parallelisation of the sampling logic
- GPU support
I've made a PR addressing point 3. above in #1396
@jtbuch, @claresinger, one paper that, IIRC, we have not mentioned yet discussing seeding in PySDM is the Andrejczuk et al. 2014 super-droplet seeding/geoengineering study: https://doi.org/10.1016/j.atmosres.2014.01.006
Thanks for the reference, @slayoo! I will incorporate seeding in the 2D case and try to reproduce their results.