Caleb Fangmeier 0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested. 8 éve
..
README.md 3a8612fff9 Introduces the filval analysis fromwork wip 8 éve
argparse.hpp 4d26f66e94 Adds ability to save fv::root containers to root files. 8 éve
container.hpp 0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested. 8 éve
dataset.hpp fa090c5f43 begins re-implementing old ipynb analysis/plots using new framework 8 éve
filter.hpp 0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested. 8 éve
filval.hpp 69b87d4db0 Changes to CMake build system and adds additional logging functionality 8 éve
log.hpp 4d26f66e94 Adds ability to save fv::root containers to root files. 8 éve
value.hpp 0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested. 8 éve

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