Cannot get model for bt-settl about species HOT 3 CLOSED

Hi @sylacour, thanks for this first bug report :).

Do you want to use the BT-Setll or BT-NextGen models? It seems that you added BT-Settl but you are trying to read BT-NextGen? From the temperature that you chose (7000 K), you probably want to use the BT-NextGen models?

For BT-NextGen, make sure to set the teff_range to a narrow temperature range when using add_model, because this grid is gigantic...

Let me know if this solves the problem! I will do a test in the meanwhile. I am still working on having more diagnostic warnings implemented.

from species.

To check what the content of the database looks like, you can run:

database = species.Database()
database.list_content()

And to see which parameters are required for a particular model, e.g.:

read_model = species.ReadModel('bt-settl')
read_model.get_parameters()

Did you not get an error when adding the BT-Settl models? Because add_model probably requires the spec_res parameter?

from species.

After discussing offline, the problem appeared to be related to the add_model function. The use was a bit ambiguous so I have added several diagnostic warnings and errors.

Specifically, the DRIFT-PHOENIX and petitCODE models do not require the wavel_range and spec_res parameters because they are already sampled on a fixed wavelength grid. For the other models, these parameters are required such that the wavelength grid is resampled (with a linear interpolation) when storing the spectra in the database.

For example, for BT-Settl:
database.add_model(model='bt-settl', wavel_range=(0.5, 10.), spec_res=1000., teff_range=(1500., 2000.))

While for petitCODE-cool-cloudy:
database.add_model(model='petitcode-cool-cloudy', wavel_range=None, spec_res=None, teff_range=None)

Or simply:
database.add_model('petitcode-cool-cloudy')

These changes were made in commit 23947fc and available in the new release (v0.1.3)

from species.