The Filter-Value analysis package

Caleb Fangmeier 6c5889fa87 Adds function registry to keep track of declared lambda functions used		vor 8 Jahren
README.md	c778e95685 Introduces the filval analysis fromwork wip	vor 8 Jahren
argparse.hpp	6c5889fa87 Adds function registry to keep track of declared lambda functions used	vor 8 Jahren
container.hpp	6c5889fa87 Adds function registry to keep track of declared lambda functions used	vor 8 Jahren
dataset.hpp	6c5889fa87 Adds function registry to keep track of declared lambda functions used	vor 8 Jahren
filter.hpp	6c5889fa87 Adds function registry to keep track of declared lambda functions used	vor 8 Jahren
filval.hpp	6cc0f0d55e Changes to CMake build system and adds additional logging functionality	vor 8 Jahren
log.hpp	6c5889fa87 Adds function registry to keep track of declared lambda functions used	vor 8 Jahren
value.hpp	6c5889fa87 Adds function registry to keep track of declared lambda functions used	vor 8 Jahren

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