From fdad6aa18ba6002d8acae0e7f0cdf7e633b2eb1b Mon Sep 17 00:00:00 2001
From: "Ensslin, Torsten (ensslint)" <ensslin@mpa-garching.mpg.de>
Date: Mon, 7 Jan 2019 14:19:25 +0100
Subject: [PATCH] picture smaller
---
docs/source/ift.rst | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/docs/source/ift.rst b/docs/source/ift.rst
index 0842609bd..24269d244 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, |
--
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