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| 1 | +This folder contains Python example scripts that illustrate the | |
| 2 | +usage of the ctatools. | |
| 3 | + | |
| 4 | +binned_analysis.py | |
| 5 | + Example Python pipelines for binned analysis. | |
| 6 | + The first pipeline writes intermediate results to the disk while | |
| 7 | + the second pipeline keeps the results in memory. | |
| 8 | + If matplotlib is installed on the system the fitted spectrum | |
| 9 | + and the observed offset angle distribution is displayed in | |
| 10 | + counts space. | |
| 11 | + | |
| 12 | +sensitivity_pull.py | |
| 13 | + This script creates pull distributions as function of energy | |
| 14 | + for a test source that is at the 5 sigma sensitivity limit for | |
| 15 | + 50h of effective observing time. | |
| 16 | + If the Python processing module is installed the script can make | |
| 17 | + use of multiple cores and runs in parallel. | |
| 18 | + | |
| 19 | +show_pull_histogram.py | |
| 20 | + Displays pull histograms from pull data generated by the | |
| 21 | + cspull script. | |
| 22 | + | |
| 23 | +ts_distributions.py | |
| 24 | + This script creates TS distributions as function of energy for | |
| 25 | + an off observation of 50h effective observing time. | |
| 26 | + If the Python processing module is installed the script can make | |
| 27 | + use of multiple cores and runs in parallel. | |
| 28 | + | |
| 29 | +unbinned_analysis.py | |
| 30 | + Example Python pipelines for unbinned analysis. | |
| 31 | + The first pipeline writes intermediate results to the disk while | |
| 32 | + the second pipeline keeps the results in memory. | |
| 33 | + If matplotlib is installed on the system the fitted spectrum | |
| 34 | + and the observed offset angle distribution is displayed in | |
| 35 | + counts space. | ... | ... |