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Caleb Fangmeier 401eaaa641 updates to documentation		8 éve
analysis	fa090c5f43 begins re-implementing old ipynb analysis/plots using new framework	8 éve
cmake	69b87d4db0 Changes to CMake build system and adds additional logging functionality	8 éve
docs	401eaaa641 updates to documentation	8 éve
filval	fa090c5f43 begins re-implementing old ipynb analysis/plots using new framework	8 éve
filval_root	fa090c5f43 begins re-implementing old ipynb analysis/plots using new framework	8 éve
legacy	38070229c3 Adds histogram containers to be filled with arrays, rather than singular	8 éve
python	fa090c5f43 begins re-implementing old ipynb analysis/plots using new framework	8 éve
.gitignore	d1395f5084 adds ignored png files to docs	8 éve
CMakeLists.txt	01b069d2db Adds Mean and Range Reduce classes. Integrates Function type into	8 éve
Doxyfile.in	401eaaa641 updates to documentation	8 éve
LICENSE	b37d28e726 Initial commit	8 éve
MiniTreeDoc.txt	ac6692ede2 Adds additional plots and implementation of mini-iso selection	8 éve
README.md	401eaaa641 updates to documentation	8 éve

TTTT Production Cross-Section Measurement

This project contains the code, documentation, and results of the TTTT production cross-section measurment in the tri-lepton channel.

To run this analysis, first aquire relevant MC files for signal(TTTT), and main backgrounds(TTW, TTZ, TT). These should be in the "Minitree" format. Then checkout the code from Github. After acquiring the code, follow the standard cmake build process of

cd project_directory
mkdir build
cd build
cmake ..
make

Once the code has been built, there should be a main executable in the build directory. Call it with the syntax

./main -f path_to_minitree_file

This will create a results ROOT file containing a set of histograms extracted from the Minitree. Create one of these for each input Minitree. The results are then usually processed in Jupyter Notebooks to produce final plots/measurements.

README.md

TTTT Production Cross-Section Measurement