The Filter-Value analysis package

1 Atzari

Caleb Fangmeier 9b0bb7d0e4 Fixes lower limits on histograms doing zero supression. Regenerates		7 gadi atpakaļ
README.md	c778e95685 Introduces the filval analysis fromwork wip	8 gadi atpakaļ
api.hpp	9b0bb7d0e4 Fixes lower limits on histograms doing zero supression. Regenerates	7 gadi atpakaļ
argparse.hpp	d050852cda Adds ability to save fv::root containers to root files.	7 gadi atpakaļ
container.hpp	74fb44edfe Misc. Updates including	7 gadi atpakaļ
dataset.hpp	74fb44edfe Misc. Updates including	7 gadi atpakaļ
filter.hpp	74fb44edfe Misc. Updates including	7 gadi atpakaļ
filval.hpp	7cee2c915b changes MapOver to no longer require template arguments to be wrapped in tuple	7 gadi atpakaļ
log.hpp	d050852cda Adds ability to save fv::root containers to root files.	7 gadi atpakaļ
value.hpp	f19b577f8b Adds dijet invarient mass distribution	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