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Caleb Fangmeier 0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested. 7 lat temu
analysis 0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested. 7 lat temu
cmake 69b87d4db0 Changes to CMake build system and adds additional logging functionality 7 lat temu
docs 401eaaa641 updates to documentation 7 lat temu
filval 0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested. 7 lat temu
filval_root 0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested. 7 lat temu
legacy 38070229c3 Adds histogram containers to be filled with arrays, rather than singular 7 lat temu
python 0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested. 7 lat temu
.gitignore d1395f5084 adds ignored png files to docs 7 lat temu
CMakeLists.txt 01b069d2db Adds Mean and Range Reduce classes. Integrates Function type into 7 lat temu
Doxyfile.in 401eaaa641 updates to documentation 7 lat temu
LICENSE b37d28e726 Initial commit 7 lat temu
MiniTreeDoc.txt ac6692ede2 Adds additional plots and implementation of mini-iso selection 7 lat temu
README.md 401eaaa641 updates to documentation 7 lat temu

README.md

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.