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Caleb Fangmeier 61f093e815 Changes MiniTreeDataSet to use ownership over inheritance 5 years ago
analysis 61f093e815 Changes MiniTreeDataSet to use ownership over inheritance 5 years ago
cmake aeabde563f Rolls back C++ version to c++1y 5 years ago
docs 2f8716f500 Additional work on intro talk and changes latex generation to use rubber 5 years ago
filval @ d6be1127b8 aeabde563f Rolls back C++ version to c++1y 5 years ago
python 8e14382b89 Updates to analysis routine, adding additional histograms 5 years ago
.flake8 bb66e39d77 updates to pdf generation 5 years ago
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.gitmodules 3eb6f64e5a moves filval to submodules 5 years ago
CMakeLists.txt 2f8716f500 Additional work on intro talk and changes latex generation to use rubber 5 years ago
LICENSE b37d28e726 Initial commit 5 years ago
README.md 56796f011f Adds example code for filval and the beginnings of TMVA integration in filval_root 5 years ago

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. For example, a basic listing of generated histograms can be found here

A brief rundown of the general analysis framework, FilVal, can be found here.

References

  • Four Tops for LHC (arXiv)
    A theory paper outlining a general strategy for measuring tttt cross-section using the SS-dilepton and trilepton channels
  • Efficient Identification of Boosted Semileptonic Top Quarks at the LHC (arXiv)
    Detailed description of the "mini-iso" requirement.
  • Top-tagging: A Method for Identifying Boosted Hadronic Tops (arXiv)
    Description of how to identify hadronically decaying Tops. ie. t->b + W(->q + \bar{q})