Doc updates (#318)

* Updated doc * updated fermipy_diffuse.rst * Updated changelog.rst
fermiPy · Mar 10, 2020 · 3139fc9 · 3139fc9
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diff --git a/docs/changelog.rst b/docs/changelog.rst
@@ -6,9 +6,15 @@ Changelog
 This page is a changelog for releases of Fermipy.  You can also browse
 releases on `Github <https://github.com/fermiPy/fermipy/releases>`_.
 
+0.18.1 (03/10/2020)
+-------------------
+* Changes to improve automated builds for testing
+* Added documentation for fermipy.jobs and femripy.diffuse modules
+* Some changes to support different size pixels in different components
+* Added gtpsf and gtdrm support to gtanalysis
 
 0.18.0 (10/18/2019)
-------------------
+-------------------
 * Added tools to use new version of energy dispersion from fermitools.
 * Changed travis testing and conda scripts to work with conda release of fermitools.
 

diff --git a/docs/fermipy_diffuse.rst b/docs/fermipy_diffuse.rst
@@ -5,7 +5,22 @@ fermipy.diffuse subpackage
 
 The fermipy.diffuse sub-package is a collection of standalone
 utilities that allow the user to parallelize the data and template
-preparation for all-sky diffuse analysis.
+preparation for all-sky analysis.
+
+The tools described here perform a number of functions:
+
+* Making binned counts maps and expousre maps over the whole sky.
+
+* Managing model components for all-sky analysis; including both 
+  diffuse emission and point source contributions.   This includes
+  make spatial-spectral templates and expected counts maps 
+  for various components.
+
+* Building intergrated models for a collection of model components.
+
+* Fitting those models.
+
+
 
 
 Overview
@@ -52,6 +67,8 @@ The various loop variables are:
 
 
 
+
+
 
 .. code-block:: python
 
@@ -533,6 +550,13 @@ library components and spectral models.
 
 
 
+Examples
+--------
+
+
+
+
+
 Module contents
 ---------------
 

diff --git a/docs/fermipy_jobs_tools.rst b/docs/fermipy_jobs_tools.rst
@@ -196,9 +196,10 @@ Using Links and sub-classes in python
 The main aspect of the `Link` python interface are:
 
 * Building the `Link` and setting the parameters.  By way of example we will 
-build a `Link` of type `AnalyzeROI` and configure it do a standard analysis of
-the ROI using the file 'config.yaml' write the resulting 
-ROI snapshot to 'baseline' and make the standard validation plots.
+  build a `Link` of type `AnalyzeROI` and configure it do a standard analysis of
+  the ROI using the file 'config.yaml' write the resulting 
+  ROI snapshot to 'baseline' and make the standard validation plots.
+
 
    .. code-block:: python