The Filter-Value analysis package

Caleb Fangmeier ba6411da77 Adds basic event selection		7 år sedan
examples	9a4380809f Adds example code for filval and the beginnings of TMVA integration in filval_root	7 år sedan
README.md	c778e95685 Introduces the filval analysis fromwork wip	8 år sedan
api.hpp	4427df6a66 Finishes implementing TMVA integration	7 år sedan
argparse.hpp	d050852cda Adds ability to save fv::root containers to root files.	7 år sedan
container.hpp	4850bd64ac Adds calculation of Top(Tri-jet) invarient mass	7 år sedan
dataset.hpp	4427df6a66 Finishes implementing TMVA integration	7 år sedan
filter.hpp	ba6411da77 Adds basic event selection	7 år sedan
filval.hpp	7cee2c915b changes MapOver to no longer require template arguments to be wrapped in tuple	7 år sedan
log.hpp	d050852cda Adds ability to save fv::root containers to root files.	7 år sedan
value.hpp	4427df6a66 Finishes implementing TMVA integration	7 år sedan

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