Saas-Fee Notebooks for HI Absorption (v1.0)

Overview

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]:
0.42466090014400953

In [3]:
from pyigm import utils as pyigmu
dXdz = pyigmu.cosm_xz(2.8, cosmo=None, flg_return=1)
dXdz


Out[3]:
3.4838912947941414

In [4]:
8.59 + np.log10(dXdz)


Out[4]:
9.1320645955871811

In [ ]: