The Filter-Value analysis package

Caleb Fangmeier 4427df6a66 Finishes implementing TMVA integration		7 yıl önce
examples	9a4380809f Adds example code for filval and the beginnings of TMVA integration in filval_root	7 yıl önce
README.md	c778e95685 Introduces the filval analysis fromwork wip	8 yıl önce
api.hpp	4427df6a66 Finishes implementing TMVA integration	7 yıl önce
argparse.hpp	d050852cda Adds ability to save fv::root containers to root files.	7 yıl önce
container.hpp	4850bd64ac Adds calculation of Top(Tri-jet) invarient mass	7 yıl önce
dataset.hpp	4427df6a66 Finishes implementing TMVA integration	7 yıl önce
filter.hpp	74fb44edfe Misc. Updates including	7 yıl önce
filval.hpp	7cee2c915b changes MapOver to no longer require template arguments to be wrapped in tuple	7 yıl önce
log.hpp	d050852cda Adds ability to save fv::root containers to root files.	7 yıl önce
value.hpp	4427df6a66 Finishes implementing TMVA integration	7 yıl önce

A FILter-VALue System

This is a header-only, generic, data analysis system that allows for creating performant generation of Plots. Plots contain Values and can make use of Filters. Filters can also depend of Values, and Values can depend on other Values. A Dataset is a generic object that contains a series of observations. The individual observations consist of a series of Observed Values. One can also define Derived Values which are calculated from Observed Values or other Derived Values. Care is taken automatically so Derived Values are calculated at most once per observation.

MyDataSet myDataSet("somefile.root", "tree"); // MyDataSet subclasses DataSet
TTreeValue<int> countmyDataSet;
myDataSet.addValue

Hist1D myplot(count, myDataSet, ); // Hist1D subclasses Plot

README.md

A FILter-VALue System