README
1.55 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
This folder contains Python example scripts that illustrate the
usage of the ctools.
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.
If matplotlib is installed on the system the fitted spectrum
and the observed offset angle distribution is displayed in
counts space.
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. 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.
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.
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.
show_ts_distribution.py
Displays pull histograms from pull data generated by the
cspull script.