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The Python package particle combines everything into a single dataset, so that you can search via
fromparticleimportParticleParticle.findall() # lists >6400 particles, including nuclei
I think we should put those in nuclei() or so, but I am not sure, since that makes things a bit more complicated when searching for a particle. We could however also do something like
It would probably be a good idea to extend use_catalog_file() with an append=true/false keyword argument.
Which also brings some bad news: we use a dictionary (PDGID => Particle), so that it will overwrite new entries. Maybe we should rethink that and check if the dictionary is really needed? It might be fun to load datasets from 2008, 2017, 2018 etc. and then do some searches on all of them to compare. This also means that each Particle should probably tell from which catalog it comes from 🙈
The SciKit-HEP guys also offer a nuclei table: https://github.com/scikit-hep/particle/blob/master/src/particle/data/nuclei2020.csv
We should add that.
The Python package
particle
combines everything into a single dataset, so that you can search viaI think we should put those in
nuclei()
or so, but I am not sure, since that makes things a bit more complicated when searching for a particle. We could however also do something likebut this will re-execute the
filter
every time.The text was updated successfully, but these errors were encountered: