Caleb Fangmeier 8d2cdb6164 Implements some sane Value objects for dealing with observed arrays in incoming data		8 gadi atpakaļ
..
README.md	3a8612fff9 Introduces the filval analysis fromwork wip	8 gadi atpakaļ
container.hpp	8d2cdb6164 Implements some sane Value objects for dealing with observed arrays in incoming data	8 gadi atpakaļ
dataset.hpp	8d2cdb6164 Implements some sane Value objects for dealing with observed arrays in incoming data	8 gadi atpakaļ
filter.hpp	8d2cdb6164 Implements some sane Value objects for dealing with observed arrays in incoming data	8 gadi atpakaļ
filval.hpp	3a8612fff9 Introduces the filval analysis fromwork wip	8 gadi atpakaļ
main	3a8612fff9 Introduces the filval analysis fromwork wip	8 gadi atpakaļ
main.cpp	3a8612fff9 Introduces the filval analysis fromwork wip	8 gadi atpakaļ
out	3a8612fff9 Introduces the filval analysis fromwork wip	8 gadi atpakaļ
value.hpp	8d2cdb6164 Implements some sane Value objects for dealing with observed arrays in incoming data	8 gadi atpakaļ

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