Crossover extraction using PyReX

• Along track data (individual track files) with three columns (lon, lat, z) in ASCII format (.txt, .dat) should be placed in input folder. Two sample datasets (group_a and group_b) containing the along track (ship borne) free-air gravity from NGDC is already present in the input folder.
• The output of PyReX will be saved in the folder output_detection_files. Make a folder if it doesn't exist.
• Config script config_cross.py along with detection.py, correction.py, stacking.py and a module file cross_over_module.py are placed in codes folder.

To run the detection:

1. Go to codes folder

   $ cd codes
   

2. Users can modify the config_cross.py as per the requirement. The config_cross.py script is already set to run detection from files in input folder.

3. config_cross.py has sections with pyrex_group_a_detect and pyrex_group_b_detect as calc_id.

4. Run the detection for Group A with its corresponding calc_id

   $ python detection.py pyrex_group_a_detect
   

5. Similarly, run the detection for Group B with its corresponding calc_id

   $ python detection.py pyrex_group_b_detect
   

6. Extracted crossovers are present in output_detection_files folder and named corresponding to their calc_id.

Auxillary codes

Similarly, correction.py and stacking.py can be run by adding corresponding sections in config_cross.py as

$ python stacking.py stacking_calc_id

for stacking and

$ python correction.py corrections_calc_id

for corrections.

Required python packages

• numpy
• numba
• scipy
• pandas