Fixed layout in the data inspection chapter

source/datainspection.rst

@@ -13,12 +13,16 @@ Data inspection is essential for a proper data reduction and can be carried out
 where the **verbose** parameter allows you to have more detailed information about the observation, as the used antennas and their positions. 
 
 + Python-casacore (formerly "pyrap") is a python interface to the casacore library, which allows the raw data tables (Measurement Sets) to be manipulated and the data plotted via python scripts. These allow you to customize what is plotted, and can be significantly faster than CASA for plotting large datasets. An extensive description of the python-casacore utilities is available `online <http://casacore.github.io/python-casacore/>`_.
+
 + Visibilities can be plotted relatively rapidly by making use of the combination of python-casacore and the plotting package PGPLOT, both of which work quickly. The script **uvplot.py** [#f2]_ can be used to plot visibility data and can be significantly faster than the PLOTMS task in CASA.
-+ `CASA <http://casa.nrao.edu/>`_ is the python-based next generation replacement for AIPS/AIPS++ and can be used to display the data. Be aware that trying to inspect the raw visibilities with CASA will produce a "**segmentation fault**" error. To avoid this, you should make a copy of the dataset with DPPP (see the first example parset in Sect.~\ref{theparsetfile}). **Also note** that the Radio Observatory now stores the LOFAR data as Dysco compressed measurement sets and hence CASA cannot be used to inspect them. You must decompress the measurement set first if you want to use CASA for data inspection [#f6]_. Moreover, when opening with CASA a MeasurementSet observed between May and October 2011,  you will get an **Unrecognized mount type** error [#f3]_. CASA has multiple functionalities that allows one to inspect different data products.
-    * **casabrowser** can be used to inspect the content of a Measurement Set. 
-    * **casaplotms** can be used to visibility data against different parameters.
-    * **casaviewer** can be used to inspect images.
-    * For a detailed information and examples of how to use CASA, we direct users to the `CASA Guides <http://casaguides.nrao.edu/index.php?title=Main_Page>`_.
+
++ | CASA is the python-based next generation replacement for AIPS and can be used to display the data. 
+  | Be aware that trying to inspect the raw visibilities with CASA will produce a "**segmentation fault**" error. To avoid this, you should make a copy of the dataset with DPPP (see the first example parset in Sect.~\ref{theparsetfile}). **Also note** that the Radio Observatory now stores the LOFAR data as Dysco compressed measurement sets and hence CASA cannot be used to inspect them. You must decompress the measurement set first if you want to use CASA for data inspection [#f6]_. Moreover, when opening with CASA a MeasurementSet observed between May and October 2011,  you will get an **Unrecognized mount type** error [#f3]_.
+  | CASA has multiple functionalities that allows one to inspect different data products.
+  | - **casabrowser** can be used to inspect the content of a Measurement Set. 
+  | - **casaplotms** can be used to visibility data against different parameters.
+  | - **casaviewer** can be used to inspect images.
+  | - For a detailed information and examples of how to use CASA, we direct users to the `CASA Guides <http://casaguides.nrao.edu/index.php?title=Main_Page>`_.
 
 + The low frequency radio sky is dominated by a few bright sources that form the so called A-team: CasA, CygA, VirA, TauA, HydA, HerA. The removal of these sources from the target visibilities is very important in order to achieve high dynamic range images. The script **plot_Ateam_elevation.py**, which is available as part of the `LOFAR repository <https://github.com/lofar-astron/LOFAR-Contributions>`_, can be used to inspect the contribution of these A-team sources to the observed visibility data.