I will provide a set of ipython Notebooks together with the lectures (and slides) to provide additional figures and example code for performing analysis.
These Notebooks will draw upon Python packages that are openly available.
I will also provide updates according to our interactions and your requests.
In [1]:
# Tests
1./(2*np.sqrt(2*np.log(2)))
Out[1]:
In [3]:
from pyigm import utils as pyigmu
dXdz = pyigmu.cosm_xz(2.8, cosmo=None, flg_return=1)
dXdz
Out[3]:
In [4]:
8.59 + np.log10(dXdz)
Out[4]:
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