A. Mastbaum [email protected], 2018/12
These scripts generate plots of kinematic distributions from art ROOT files and overlay them, for validation of generator and reweighting output in moving from GENIE v2.12.10 to v3.00.02.
To build, set up an environment for uboonecode v08_00_00, and then run
$ make
This will build the plot_kinematics binary.
The main script is plot_kinematics, which reads MCTruth information from
an art ROOT file and builds many plots. The plots are output to PDFs and also
written to a ROOT file.
Usage:
$ ./plot_kinematics OUTPUT.root INPUT1.root [INPUT2.root ...]
There are two main objects used in plot generation: filters and
distributions. A filter takes a simb::MCTruth and returns a boolean
indicating whether the event meets its criteria. For example, a filter
might select numu CCQE events with one proton above 30 MeV. A distribution
sets up a histogram and has a Fill function that knows how to populate
it given a simb::MCTruth. An example might be a Q^2 distribution, which
reads MCTruth::GetNeutrino().QSqr().
In plot_kinematics, a set of distributions is constructed subject to
different filters. For instance, a q0/q3 plot with a numuCCQE filter
applied and one with a numuCCMEC filter applied. In this way, we build up the
set of plots relevant for each interaction mode.
A Python3 script, compare.py reads in the histograms from the ROOT files
output by plot_kinematics and draws them for comparison. In the case of
1D histograms, they are plotted together in different colors. For 2D
histograms, the ratio is plotted. The script will output a comparison plot
for every plot it finds within the first input file.