cta-gamma-ray-analysis

• Python 3 is required
• Install all the libraries listed in requirements.txt (pip install -r requirements.txt)

Detect sources on a single image

1. Run python detect.py filepath --config configpath from the cta-gamma-ray-analysis root folder

usage: detect.py [-h] [--config CONFIG] filepath

Detect Sources

positional arguments:
  filepath         Path of the fits file

optional arguments:
  -h, --help       show this help message and exit
  --config CONFIG  Path of config file (default = data/default.conf)

Parameter tuning

1. Run run.sh from the cta-gamma-ray-analysis root folder
2. Keep focus on displayed images
3. You can change:
   • Adaptive Threshold
     • blockSize, Size of a pixel neighbourhood that is used to calculate a threshold value for the pixel
     • const, Constant subtracted from the mean or weighted mean
   • Filters
     • number of median filter iterations
     • median filter kernel size
     • number of gaussian filter iterations
     • gaussian filter kernel size
   • Local Linear Stretching
     • stretch kernel size
     • stretch step size: step size at every sliding window iteration
     • stretch min bins: minimum value within which the current window is normalized

Legenda:

Type the following keys to change mode (remember: keep focus on the displayed images, don't write anything on the terminal):

• t adaptive threshold
• f gaussian & median filter
• l local stretch

then type [1 .. 4] to select the parameter and use a and d to change it.

Then you can type:

• r to print results

• v to print current values

• p to visualize intermediate steps

• w and s to change map

• enter to print legenda

• esc to quit