Index: /trunk/doc/release.2015/ps1.datasystem/datasystem.tex
===================================================================
--- /trunk/doc/release.2015/ps1.datasystem/datasystem.tex	(revision 40030)
+++ /trunk/doc/release.2015/ps1.datasystem/datasystem.tex	(revision 40031)
@@ -90,10 +90,4 @@
 \keywords{Surveys:\PSONE }
 
-\begin{verbatim}
-MAJOR TODO ITEMS:
-* re-read and trim details as needed (referring to the other papers)
-* add some specific numbers (data volume, processing times, etc)
-\end{verbatim}
-
 \section{Introduction}
 \label{sec:intro}
@@ -133,18 +127,19 @@
 This is the second in a series of seven papers describing the
 Pan-STARRS1 Surveys, the data reduction techiques and the resulting
-data products.  This paper (Paper II) describes how the various data
-processing stages are organised and implemented in the Image
-Processing Pipeline (IPP), including details of the the processing
-database which is a critical element in the IPP infrastructure.
-
-This paper (Paper II) presents a description of the Pan-STARRS data handling
-systems, with an emphasis on the Image Processing Pipeline (IPP).  The
-Pan-STARRS Image Processing Pipeline consists of a suite of software
-programs and data systems that are designed to reduce astronomical
-images, measure astronomical sources on the images, perform the
-calibration, and distribute the results to various users.  The
-processing system includes extensive parallelization across a large
-cluster of computers in order to process the large amount of data
-generated by the Pan-STARRS\,1 telescope.
+data products.  This paper (Paper II) presents a description of the
+Pan-STARRS data handling systems, with an emphasis on the Image
+Processing Pipeline (IPP).  The Pan-STARRS Image Processing Pipeline
+consists of a suite of software programs and data systems that are
+designed to reduce astronomical images, measure astronomical sources
+on the images, perform the calibration, and distribute the results to
+various users.  The processing system includes extensive
+parallelization across a large cluster of computers in order to
+process the large amount of data generated by the Pan-STARRS\,1
+telescope.
+
+%% This paper (Paper II) describes how the various data
+%% processing stages are organised and implemented in the Image
+%% Processing Pipeline (IPP), including details of the the processing
+%% database which is a critical element in the IPP infrastructure.
 
 %Chambers et al. 2017 (Paper I)
@@ -2746,4 +2741,10 @@
  
 
+\begin{verbatim}
+MAJOR TODO ITEMS:
+* re-read and trim details as needed (referring to the other papers)
+* add some specific numbers (data volume, processing times, etc)
+\end{verbatim}
+
 \end{document}