clas12_analysis

Quick test to show dst2root is working and output a few histograms to a root file.

Prerequisites:

• cern root

cpp

A c++ example can be found in the cpp folder.

To build:

git clone https://github.com/tylern4/clas12_analysis.git
mkdir -p clas12_analysis/build
cd clas12_analysis/build
cmake ..
make

To run:

BEAM_E=7.5 NUM_THREADS=4 ./clas12_analysis output.root /path/to/input/*.root

BEAM_E=10.6 NUM_THREADS=4 ./clas12_yields yields.csv /path/to/input/*.root

There are three folders under src, lib has all the cpp files which will have most of the class definitions, logic, and functions. The include folder holds all the header files with the definitions in it. The executables are found in exe and are usually the same, get input from the command line and use a class (defined in include/lib) to start running a specific process.

python

This uses a small wrapper library I wrote around boost histogram to plot the way I wanted in python. nicks_plot_utils can be installed with pip install nicks-plot-utils.

To run:

BEAM_E=10.6 python main.py '/path/to/data/*.root'

Not a full list but some needed packages from pip/conda.

boost-histogram
nicks-plot-utils
pandas
scipy
matplotlib
numpy
lmfit

And then you would need root installed with the python libraries installed to use TLorentzVectors.