Table of Contents

• Table of Contents
• 1. Preparing conda environment
• 2. From Gen Productions to Sensitivities
  • 1. Generate gridpacks
  • 2. Hadronize and Simulate Detector Response
  • 3. Run skims
  • 4. Generate Background Estimation Regions
  • 5. Run Combine

1. Preparing conda environment

1. Download miniconda3 (Linux-x86-64 to your favorite remote workspace. From the command line you can run:
   wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
2. Run miniconda installer using command
   bash Miniconda3-latest-Linux-x86_64.sh
   Note: You may need to specify where to install. For instance, I work in EOS storage area accessed through LXPLUS so I must specify to save installation and environments in /eos/user/s/srosenzw/
3. Create a conda environment (documentation) using
   conda create --name sixb or use the base environment conda activate base
4. Some packages will require included a new source
   conda config --append channels conda-forge
5. Install the packages contained in sixb-spec.txt using the command
   conda create --name sixb --file spec-file.txt
6. Recommended: Clone and add modules/ to your python path using
   conda develop modules

2. From Gen Productions to Sensitivities

1. Generate gridpacks

• See MultiHiggs repo on GitHub
• See MadGraph/gridpacks
• See genproductions
• See tutorial on producing gridpacks

2. Hadronize and Simulate Detector Response

• See sixB/FullSim

3. Run skims

• See sixB/analysis/sixBanalysis

4. Generate Background Estimation Regions

• Generate a config file (e.g. config/bdt_params.cfg) then run the following command:

python scripts/skimRegions.py --cfg /path/to/cfg

5. Run Combine

See HiggsAnalysis-CombinedLimit