Morpho 1: Postprocessing¶
Postprocessing functions are applied to data after executing the fitter. Typically this is done examine the parameter information and check for convergence.
Postprocessing can be set as a flag in the beginning of the configuration file. As an example
morpho:
do_postprocessing: true
Later in the configuration file, you can set up the commands to post-process data. For example, to reduce the data into bins
preprocessing:
which_pp:
- method_name: general_data_reducer
module_name: general_data_reducer
input_file_name: ./my_spectrum.root
input_file_format: root
input_tree: spectrum
data:
-Kinetic_Energy
minX:
-18500.
maxX:
-18600.
nBinHisto:
-1000
output_file_name: ./my_binned_data.root
output_file_format: root
output_tree: bootstrapped_data
option: "RECREATE"
In the above example, it will take data from the root file saved in the Kinetic_Energy parameter and rebin it in a 1000-bin histogram.