.. centered::
**Activating the module ADAO in SALOME**
-Choose the "*New*" button in this window. You will directly get the EFICAS
-interface for variables definition, along with the SALOME "*Object browser*".
-You can then click on the "*New*" button |eficas_new| to create a new ADAO case,
-and you will see:
+Choose the "*New*" button in this window. You will directly get the embedded
+case editor interface for variables definition, along with the SALOME "*Object
+browser*". You can then click on the "*New*" button |eficas_new| to create a new
+ADAO case, and you will see:
.. _adao_viewer:
.. image:: images/adao_viewer.png
:align: center
:width: 100%
.. centered::
- **The EFICAS editor for cases definition in module ADAO**
+ **The embedded editor for cases definition in module ADAO**
Then, fill in the variables to build the ADAO case by using the experimental set
up described above. All the technical information given above will be directly
------------------------------------------------------------
One can add some optional parameters to control the data assimilation algorithm
-calculation. This is done by using the "*AlgorithmParameters*" keyword in the
-definition of the ADAO case, which is an keyword of the "*ASSIMILATION_STUDY*"
-general command. This keyword requires a Python dictionary, containing some
-key/value pairs. The list of possible optional parameters are given in the
-subsection :ref:`section_reference`.
+calculation. This is done by using optional parameters in the
+"*AlgorithmParameters*" command of the ADAO case definition, which is a keyword of
+the "*ASSIMILATION_STUDY*" general command. This keyword requires an explicit
+definition of the values or a Python dictionary, containing some key/value
+pairs. The list of possible optional parameters are given in the section
+:ref:`section_reference` and its subsections.
This dictionary has to be defined, for example, in an external Python script
file, using the mandatory variable name "*AlgorithmParameters*" for the
