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Analysis of WH production in the SMEFT using machine learning-based inference tools

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Analyzing WH Production with MadMiner

By Johann Brehmer, Sally Dawson, Samuel Homiller, Felix Kling, and Tilman Plehn

Introduction

This repository contains the notebooks used for generating and analyzing the simulation data for the paper "Benchmarking simplified template cross sections in WH production" using the inference-toolkit MadMiner.

The analysis proceeds in several steps:

  • Setup of the morphing basis (choosing the parameters which will be varied in the model file)
  • Generation of the signal and background samples
  • Analyzing/pre-processing of the LHE files (this is where observables are chosen and computed)
  • Setup and training of the SALLY estimators
  • Computation of the Fisher Information using the SALLY estimators or in histograms.

Additional files for estimating limits on the squared terms, or using the HARRY setup, require a different branch of MadMiner. Notebooks for computing the limits in this branch will be added at a later date, or are available upon request.

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