Update on TMVA Regression for individual partonic bin
Updated on Thu, 2019-08-15 23:16. Originally created by rsalinas on 2019-08-15 23:16.
This regression deals with partonic bin 15-20 GeV/c for the embedding used in the Collins paper. Performing a single partonic bin regression serves as a "proof-of-principle" to assure we are doing things correctly. The embedding code for this analysis can be found at: /star/u/rsalinas/embedding_fortmva_P.C
Process
- Loop over detector Jets
- Loop over particle Jets
- Choose best particle jet
- Match to detector Jet
- Save particle matched and detector matched to tree
- Loop over particle Jets
Input to the TMVA Regression
- Currently, the events weights for each partonic bin are not implemented correctly and we don't expect a continuous falling spectrum for this individual partonic bin. The goal is to be able to get the partonic bin weights together properly to cover all partonic bins. This will be posted in the next update as another blog entry.
- Input variables
- Regression Target
Regression Output
- From the three previous methods (check previous blog), we get the following regression:
- Deviation plots from regression and true Jet pt for the three different methods
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