Closed MohammadRih closed 1 month ago
Hi again,
After some investigation of your documentation, I see something like this: model_galaxy.line_fluxes
Now I have a small question about this option, Are these line_fluxes for the posterior or just the prior model?
Hi, sorry I didn't get back about this originally. A model_galaxy object just contains a model with set parameters, it doesn't know anything about data (which is contained in galaxy objects) or fit posteriors (which are contained in fit objects). The code doesn't propagate line fluxes through into the fit.posterior.samples when fitting by default just to save on run time. If you want to generate posteriors for line fluxes using a completed fit you can do it with a function something like this:
def analysis_func(fit):
ha_post = np.zeros(fit.n_posterior)
fit.posterior.fitted_model._update_model_components(fit.posterior.samples2d[0, :])
model_comp = fit.posterior.fitted_model.model_components
model = pipes.model_galaxy(model_comp, spec_wavs=np.arange(5000., 15000., 2.5))
for i in range(fit.n_posterior):
fit.posterior.fitted_model._update_model_components(fit.posterior.samples2d[i, :])
model_comp = fit.posterior.fitted_model.model_components
model.update(model_comp)
ha_post[i] = model.line_fluxes["H 1 6562.81A"]
No, there is no problem. And thank you for this clear and straightforward solution providing.
Hi, I'm using bagpipes and I want to have some output about emission lines like [Lv, Lj, L1400, L2800, LOIII, LHa, ...]. Does the code, output these by default?! Or do we have to make settings to extract this information in the code manually?!
Thanks