The Filter-Value analysis package

1 Haarat

Caleb Fangmeier b6faa30f15 Implements some sane Value objects for dealing with observed arrays in incoming data		8 vuotta sitten
README.md	c778e95685 Introduces the filval analysis fromwork wip	8 vuotta sitten
container.hpp	b6faa30f15 Implements some sane Value objects for dealing with observed arrays in incoming data	8 vuotta sitten
dataset.hpp	b6faa30f15 Implements some sane Value objects for dealing with observed arrays in incoming data	8 vuotta sitten
filter.hpp	b6faa30f15 Implements some sane Value objects for dealing with observed arrays in incoming data	8 vuotta sitten
filval.hpp	c778e95685 Introduces the filval analysis fromwork wip	8 vuotta sitten
main	c778e95685 Introduces the filval analysis fromwork wip	8 vuotta sitten
main.cpp	c778e95685 Introduces the filval analysis fromwork wip	8 vuotta sitten
out	c778e95685 Introduces the filval analysis fromwork wip	8 vuotta sitten
value.hpp	b6faa30f15 Implements some sane Value objects for dealing with observed arrays in incoming data	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