diff --git a/docs/source/ift.rst b/docs/source/ift.rst index 0842609bd7b718350bd9718ae0858f6982a3040f..24269d244877ae53aeee57d4bd07396b889036b2 100644 --- a/docs/source/ift.rst +++ b/docs/source/ift.rst @@ -103,7 +103,7 @@ and the measurement equation is linear in both, signal and noise, with :math:`{R}` the measurement response, which maps the continous signal field into the discrete data space. This is called a free theory, as the information Hamiltonian - +associate professor .. math:: \mathcal{H}(d,s)= -\log \mathcal{P}(d,s)= \frac{1}{2} s^\dagger S^{-1} s + \frac{1}{2} (d-R\,s)^\dagger N^{-1} (d-R\,s) + \mathrm{const} @@ -181,10 +181,10 @@ The reconstruction of a non-Gaussian signal with unknown covarinance from a non- +-------------------------------------------------+ | .. image:: images/getting_started_3_setup.png | -| :width: 100 % | +| :width: 30 % | +-------------------------------------------------+ | .. image:: images/getting_started_3_results.png | -| :width: 100 % | +| :width: 30 % | +-------------------------------------------------+ | Output of tomography demo getting_started_3.py. | | **Top row:** Non-Gaussian signal field, |