The Filter-Value analysis package

Caleb Fangmeier ae79fbb143 Adds single-value analogues to Zip/Map in Tuple/Apply		8 年之前
README.md	c778e95685 Introduces the filval analysis fromwork wip	8 年之前
api.hpp	ae79fbb143 Adds single-value analogues to Zip/Map in Tuple/Apply	8 年之前
argparse.hpp	d050852cda Adds ability to save fv::root containers to root files.	8 年之前
container.hpp	ae79fbb143 Adds single-value analogues to Zip/Map in Tuple/Apply	8 年之前
dataset.hpp	ae79fbb143 Adds single-value analogues to Zip/Map in Tuple/Apply	8 年之前
filter.hpp	56ea1ffb88 Implements fully variadic Zip Value. Not yet tested.	8 年之前
filval.hpp	7cee2c915b changes MapOver to no longer require template arguments to be wrapped in tuple	8 年之前
log.hpp	d050852cda Adds ability to save fv::root containers to root files.	8 年之前
value.hpp	ae79fbb143 Adds single-value analogues to Zip/Map in Tuple/Apply	8 年之前

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