CbmRoot
|
Implementation for concrete RICH ring selection algorithm: reject rings using a trained neural net (input file with weights needed!) store resulting value (0-1) in "SelectionNN": 0 = good rings 1 = rings to be rejected --> choose a value in between depending on required purity/ efficiency. More...
#include <string>
Go to the source code of this file.
Classes | |
class | CbmRichRingSelectAnn |
Implementation for concrete RICH ring selection algorithm: reject rings using a trained neural net (input file with weights needed!) store resulting value (0-1) in "SelectionNN": 0 = good rings 1 = rings to be rejected --> choose a value in between depending on required purity/ efficiency. More... | |
Implementation for concrete RICH ring selection algorithm: reject rings using a trained neural net (input file with weights needed!) store resulting value (0-1) in "SelectionNN": 0 = good rings 1 = rings to be rejected --> choose a value in between depending on required purity/ efficiency.
Definition in file CbmRichRingSelectAnn.h.