Getting started

Once installed, Pytmosph3R can be used as a python library, that can be imported for example in a jupyter notebook (see Run as a python library).

You can find a list of all the objects and their parameters in pytmosph3r.

Opacity data

You can download an example of simple data that may be used in the jupyter tutorial (see Run as a python library) using:

wget https://mycore.core-cloud.net/index.php/s/w2cHuigAiwcfBVW/download
unzip download
mv exo_k-public/* .

You should then have a data/ folder containing:

• xsec/: cross-sections,

• corrk/: correlated-k,

• cia/: Collision-Induced Absorptions,

• aerosol/: aerosol properties,

• gcm_output/: GCM simulation examples,

• chemistry/: an example file for one of the chemistry modules (InterpolationChemistry).

If you want to use your own/more complex data, we refer you to the documentation of exo_k for more information on where to get it. However, we advise you to follow the same directory structure as our example above.