Caleb Fangmeier fa090c5f43 begins re-implementing old ipynb analysis/plots using new framework		7 gadi atpakaļ
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README.md	3a8612fff9 Introduces the filval analysis fromwork wip	7 gadi atpakaļ
argparse.hpp	4d26f66e94 Adds ability to save fv::root containers to root files.	7 gadi atpakaļ
container.hpp	38070229c3 Adds histogram containers to be filled with arrays, rather than singular	7 gadi atpakaļ
dataset.hpp	fa090c5f43 begins re-implementing old ipynb analysis/plots using new framework	7 gadi atpakaļ
filter.hpp	01b069d2db Adds Mean and Range Reduce classes. Integrates Function type into	7 gadi atpakaļ
filval.hpp	69b87d4db0 Changes to CMake build system and adds additional logging functionality	7 gadi atpakaļ
log.hpp	4d26f66e94 Adds ability to save fv::root containers to root files.	7 gadi atpakaļ
value.hpp	fa090c5f43 begins re-implementing old ipynb analysis/plots using new framework	7 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