Finished a first pass of the existing software packages section

Signed-off-by: David Turner <[email protected]>

paper/paper.md

@@ -118,12 +118,17 @@ to perform data preparation and cleaning. Particularly important are the _XMM_ S
 the complementary extended SAS (eSAS; @esascook) packages, which allow us to provide simple Python interfaces to the
 complex, multi-step, processes that are required to prepare raw _XMM_ data for scientific use. The analogous 
 eROSITA Science Analysis Software System (eSASS; @erosita) must also be mentioned, as it provides the tools needed to
-reduce and prepare eROSITA data. 
-
+reduce and prepare eROSITA data. In this vein we must also mention the HEASoft package, which is almost ubiquitous in
+X-ray data analyses, and is used by both SAS and eSASS.
 
+Another related software package is the other module in our open-source X-ray astronomy ecosystem, X-ray: Generate 
+and Analyse ([Xga]{.smallcaps}; @xga). It has none of the same features as [Daxa]{.smallcaps}, as it exists to 
+analyse large sets of X-ray data, we created [Daxa]{.smallcaps} to create and manage the kind of dataset required for
+[Xga]{.smallcaps} to attain maximum usefulness.  
 
 [Daxa]{.smallcaps} is much greater than the sum of its parts, but would not have been possible without the existing
-software packages it builds upon.
+software packages it builds upon; we hope that it only enhances the value that astrophysicists derive from the other
+software we have mentioned.
 
 # Research projects using DAXA
 
@@ -156,6 +161,7 @@ properties of these groups.
 # Future Work
 
 
+
 # Acknowledgements
 DT and MD are grateful for support from the National Aeronautic and Space Administration Astrophysics Data Analysis 
 Program (NASA80NSSC22K0476). KR and PG acknowledge support from the UK Science and Technology Facilities Council via