Set "eos" argument for Garching models

[soso128]

Hi,

I noticed there is a keyword argument in the constructor of the GarchingArchiveModel class to set the EOS. Is there a way to set the value of this argument when calling the generate_time_series function of snowglobes.py? I didn't see any **kwargs option.

Best regards,
Sonia

[JostMigenda]

Hi Sonia! Thus far, all data files corresponding to the _GarchingArchiveModel class (i.e. Bollig_2016, Tamborra_2014, Walk_2018 and Walk_2019) use the LS220 EOS, so unless I’m missing something, it shouldn’t be necessary to manually set that argument? But you’re right; if we add model files in that format with a different EOS at some point, we’ll need to make some changes.

[soso128]

Hi Jost,
Yes indeed I was wondering about how to change the EOS if we want to try a different model in this class. But I guess I can just add a **kwargs in generate_time_series and use it when calling the constructor.

[JostMigenda]

Ah, I see—yes, that sounds like a good solution! Once you’ve done that, could you please create a PR so everyone can benefit from this?

[JostMigenda]

After thinking about it some more, I realized that this also affects the OConnor_2013 model, which has a keyword argument for the progenitor mass. Right now, generate_time_series() cannot pass that argument, so users can only use the default mass with snewpy.snowglobes. So this issue also affects users who don’t use custom models and I’ll mark it as a bug.

[soso128]

Hi, sorry for my late reply. I have opened a pull request with a possible fix.