Hi, I’m trying to use PyMC3 to do some SED fitting. I have my galaxy age, given by a discrete uniform distribution gal_age = pm.DiscreteUniform(‘gal_age’,lower=0,upper=13500) And from there, I want to generate an array from 0 to the age of the galaxy, to get my star formation history later sf…

You can use theano.tensor.arange which operates like NumPy’s arange: sfh_steps = tt.arange(gal_age+1)

Issue with using distributions to build arrays

thomas.williams October 12, 2017, 1:11pm 3

Excellent, that’s worked, thanks!

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