From cbca2334cb365c03ddd68da7537e43c9fc9c9c0b Mon Sep 17 00:00:00 2001
From: knodlseder <>
Date: Wed, 3 Aug 2011 06:44:59 +0000
Subject: [PATCH] update script names

---
 examples/Makefile.am |  8 ++++----
 examples/README      | 19 ++++++++++---------
 2 files changed, 14 insertions(+), 13 deletions(-)

diff --git a/examples/Makefile.am b/examples/Makefile.am
index 7bea446..d5d536b 100644
--- a/examples/Makefile.am
+++ b/examples/Makefile.am
@@ -2,11 +2,11 @@
 
 # Scripts to be distributed
 scripts = README \
-          binned_analysis.py \
-          sensitivity_pull.py \
+          make_binned_analysis.py \
+          make_pull_at_sensitivity_limit.py \
+          make_ts_distributions.py
+          make_unbinned_analysis.py \
           show_pull_histogram.py \
-          ts_distributions.py \
-          unbinned_analysis.py
 
 # Set directories
 scriptsdir   = $(datadir)/examples/python
diff --git a/examples/README b/examples/README
index 6b11ffc..1a48527 100644
--- a/examples/README
+++ b/examples/README
@@ -1,7 +1,7 @@
 This folder contains Python example scripts that illustrate the
 usage of the ctatools.
 
-binned_analysis.py
+make_binned_analysis.py
   Example Python pipelines for binned analysis.
   The first pipeline writes intermediate results to the disk while
   the second pipeline keeps the results in memory.
@@ -9,27 +9,28 @@ binned_analysis.py
   and the observed offset angle distribution is displayed in
   counts space.
 
-sensitivity_pull.py
+make_pull_at_sensitivity_limit.py
   This script creates pull distributions as function of energy
   for a test source that is at the 5 sigma sensitivity limit for
-  50h of effective observing time.
+  50h of effective observing time. It takes as input file the
+  output file generated using cspull.
   If the Python processing module is installed the script can make
   use of multiple cores and runs in parallel.
 
-show_pull_histogram.py
-  Displays pull histograms from pull data generated by the
-  cspull script.
-
-ts_distributions.py
+make_ts_distributions.py
   This script creates TS distributions as function of energy for
   an off observation of 50h effective observing time.
   If the Python processing module is installed the script can make
   use of multiple cores and runs in parallel.
 
-unbinned_analysis.py
+make_unbinned_analysis.py
   Example Python pipelines for unbinned analysis.
   The first pipeline writes intermediate results to the disk while
   the second pipeline keeps the results in memory.
   If matplotlib is installed on the system the fitted spectrum
   and the observed offset angle distribution is displayed in
   counts space.
+
+show_pull_histogram.py
+  Displays pull histograms from pull data generated by the
+  cspull script.
--
libgit2 0.21.4