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Setup

HH→bb̄WW is installed and run like any FLAF analysis. The general procedure — prerequisites (CERN account, CVMFS, grid certificate, SSH keys) and what the first source env.sh builds — is in the FLAF installation guide. This page lists the HH→bb̄WW specifics.

Clone (with git LFS)

git clone --recursive git@github.com:cms-flaf/HH_bbWW.git
cd HH_bbWW
git lfs pull
source env.sh

Two easy-to-miss steps

  • --recursive — pulls the submodules (without it, imports fail on empty directories).
  • git lfs pull — fetches the large files HH→bb̄WW tracks with git LFS. Skipping it leaves pointer placeholders instead of real files.

To run a specific central production, clone its tag, e.g. git clone -b <version> --recursive ….

Analysis-specific submodules

Submodule Role
DeepHME Neural reconstruction of the HH mass for bb̄WW.
SyncTool Synchronisation/validation tooling.
StatInference, inference Datacards and combine-based limits/fits (shared).

These build automatically as part of source env.sh; you do not set them up by hand.

Production model

The production physics model for HH→bb̄WW is Run3_Model (set in config/global.yaml). For fast local tests, use TestModel in your user_custom.yaml instead.

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