Fabio Iocco / ctools

Commit cbca2334cb365c03ddd68da7537e43c9fc9c9c0b

Authored by knodlseder
1 parent 2477bbaa

update script names

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Showing 2 changed files with 14 additions and 13 deletions
examples/Makefile.am
  View file @cbca233
... ... @@ -2,11 +2,11 @@
2 2  
3 3 # Scripts to be distributed
4 4 scripts = README \
5   - binned_analysis.py \
6   - sensitivity_pull.py \
  5 + make_binned_analysis.py \
  6 + make_pull_at_sensitivity_limit.py \
  7 + make_ts_distributions.py
  8 + make_unbinned_analysis.py \
7 9 show_pull_histogram.py \
8   - ts_distributions.py \
9   - unbinned_analysis.py
10 10  
11 11 # Set directories
12 12 scriptsdir = $(datadir)/examples/python
... ...
examples/README
  View file @cbca233
1 1 This folder contains Python example scripts that illustrate the
2 2 usage of the ctatools.
3 3  
4   -binned_analysis.py
  4 +make_binned_analysis.py
5 5 Example Python pipelines for binned analysis.
6 6 The first pipeline writes intermediate results to the disk while
7 7 the second pipeline keeps the results in memory.
... ... @@ -9,27 +9,28 @@ binned_analysis.py
9 9 and the observed offset angle distribution is displayed in
10 10 counts space.
11 11  
12   -sensitivity_pull.py
  12 +make_pull_at_sensitivity_limit.py
13 13 This script creates pull distributions as function of energy
14 14 for a test source that is at the 5 sigma sensitivity limit for
15   - 50h of effective observing time.
  15 + 50h of effective observing time. It takes as input file the
  16 + output file generated using cspull.
16 17 If the Python processing module is installed the script can make
17 18 use of multiple cores and runs in parallel.
18 19  
19   -show_pull_histogram.py
20   - Displays pull histograms from pull data generated by the
21   - cspull script.
22   -
23   -ts_distributions.py
  20 +make_ts_distributions.py
24 21 This script creates TS distributions as function of energy for
25 22 an off observation of 50h effective observing time.
26 23 If the Python processing module is installed the script can make
27 24 use of multiple cores and runs in parallel.
28 25  
29   -unbinned_analysis.py
  26 +make_unbinned_analysis.py
30 27 Example Python pipelines for unbinned analysis.
31 28 The first pipeline writes intermediate results to the disk while
32 29 the second pipeline keeps the results in memory.
33 30 If matplotlib is installed on the system the fitted spectrum
34 31 and the observed offset angle distribution is displayed in
35 32 counts space.
  33 +
  34 +show_pull_histogram.py
  35 + Displays pull histograms from pull data generated by the
  36 + cspull script.
... ...