The Filter-Value analysis package

1 Haarat

Caleb Fangmeier 063e476ace Modifies how images are displayed in Notebooks.		8 vuotta sitten
README.md	c778e95685 Introduces the filval analysis fromwork wip	8 vuotta sitten
api.hpp	063e476ace Modifies how images are displayed in Notebooks.	8 vuotta sitten
argparse.hpp	d050852cda Adds ability to save fv::root containers to root files.	8 vuotta sitten
container.hpp	ae79fbb143 Adds single-value analogues to Zip/Map in Tuple/Apply	8 vuotta sitten
dataset.hpp	ae79fbb143 Adds single-value analogues to Zip/Map in Tuple/Apply	8 vuotta sitten
filter.hpp	56ea1ffb88 Implements fully variadic Zip Value. Not yet tested.	8 vuotta sitten
filval.hpp	7cee2c915b changes MapOver to no longer require template arguments to be wrapped in tuple	8 vuotta sitten
log.hpp	d050852cda Adds ability to save fv::root containers to root files.	8 vuotta sitten
value.hpp	ae79fbb143 Adds single-value analogues to Zip/Map in Tuple/Apply	8 vuotta sitten

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