The Filter-Value analysis package

Caleb Fangmeier e8aada8cd3 Modifies api to avoid duplicating values when possible 7 lat temu
README.md c778e95685 Introduces the filval analysis fromwork wip 8 lat temu
api.hpp e8aada8cd3 Modifies api to avoid duplicating values when possible 7 lat temu
argparse.hpp d050852cda Adds ability to save fv::root containers to root files. 7 lat temu
container.hpp 4850bd64ac Adds calculation of Top(Tri-jet) invarient mass 7 lat temu
dataset.hpp 1a706b5a62 Adds calculation of Top Mass from generator objects as well as saving function implementations to output file 7 lat temu
filter.hpp 74fb44edfe Misc. Updates including 7 lat temu
filval.hpp 7cee2c915b changes MapOver to no longer require template arguments to be wrapped in tuple 7 lat temu
log.hpp d050852cda Adds ability to save fv::root containers to root files. 7 lat temu
value.hpp e8aada8cd3 Modifies api to avoid duplicating values when possible 7 lat temu

README.md

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