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Update the Dale 2014 model with a finer sampling. We now use the same grid as the Draine models. Courtesy Daniel Dale.

In the Bruzual and Charlot (2003) SSP module, we add parameters to the
info dictionary containing the total star and gas masses for the galaxy.

Specify that encoding for pcigale.ini. Otherwise if a non-ASCII character is used it may work or crash depending on the computer. Now we encode everything in UTF-8, which will allow again to use these chracters in the description of the modules parameters.

Use the base numpy interp() function rather than scipy's interp1d(). The reason is that when interpolation only 1 array the former is much faster (probably because it is compiled and there is no overhead returning a function. We can only do that for the new component. For the old ones, there are too many for this to be worthwhile. Still, it nets a nice improvement.

The wavelength arrays are sorted. So there is no need to call min() and max() to find the extrema. We can directly get the first and last elements.

Small optimisation in the interpolation. There is no need to sort the arrays because they are already sorted.

Add errorbars to the SED plots. Because they tend to be small compared to the dynamic range, we use 3σ uncertainties rather than just 1σ.

Build the BC03 models only up to 14 Gyr rather than 20 Gyr. The use case for 20 Gyr is very weak. Limiting to 14 Gyr brings two major advantages: it reduces the size of the database from 3.6GB to 2.9GB and it should make the computation faster as the SSP grid size is smaller.

Change the way we select models. Now we select models based on their relative probability to reproduce the observations. We take all models with a probability of reproducing the observations of at least 10¯³ that of the best models.

Move the simple reduced χ² analysis to a specific function and call this function. It helps keeping the code more readable.