Introduction
What This Analysis Does¶
This analysis searches for the Standard Model Higgs boson (\(m_H = 125\,\text{GeV}\)) decaying to a pair of \(W\) bosons in the opposite-flavour dilepton final state:
\[gg \rightarrow H \rightarrow W^+W^{-*} \rightarrow e^\pm\,\nu_e\;+\;\mu^\mp\,\nu_\mu\]
The analysis strategy follows the approach described in the CMS H→WW measurement (Tumasyan et al., Eur. Phys. J. C 83, 667, 2023), adapted for CMS Open Data using the Scikit-HEP Python ecosystem.
Key Analysis Properties¶
| Quantity | Value |
|---|---|
| Centre-of-mass energy | \(\sqrt{s}=13~\mathrm{TeV}\) |
| Data-taking period | 2016 Ultra-Legacy (Run periods G–H) |
| Integrated luminosity | \(\mathcal{L}_{\mathrm{int}}=16.39~\mathrm{fb}^{-1}\) |
| Signal process | \(ggH \rightarrow W^+W^- \rightarrow e\nu\mu\nu\) |
Pre-Requisite¶
- This analysis assumes a basic working knowledge of
Python, including familiarity with functions, dictionaries, lists, and arrays. - Readers are also expected to have prior exposure to undergraduate or graduate-level particle physics, along with an understanding of standard terminology related to fundamental particles.
Quick Start¶
Get up and running
# 1. Clone the repository
git clone https://github.com/anrghv/H-to-WW-NanoAOD-analysis.git
cd H-to-WW-NanoAOD-analysis
# 2. Create the environment (Conda recommended)
conda env create -f environment.yml
conda activate HEP_analysis
# 3. Open the main analysis notebook
cd notebooks/
jupyter lab HWW_analysis.ipynb
→ Full setup instructions: Installation & Setup
Documentation Guide¶
| Section | Description | Link |
|---|---|---|
| Physics Background | CMS Open Data, Higgs signal, and background processes. | Theory |
| Datasets | Sample list, cross-sections, and MC normalisation. | Datasets |
| Software Framework | The Scikit-HEP ecosystem explained. | Framework |
| Installation & Setup | Environment setup and verification. | Installation |
| Analysis Methodology | Analysis methodology and Jupyter notebook. | Methodology |
| Statistical Inference | CMS Combine: datacards, signal strength. | Combine |
Acknowledgements¶
- This analysis is developed as part of the HSF-India project.
- Datasets are sourced from the CERN Open Data Portal.
- MC sample configurations follow LatinoAnalysis conventions for the Summer20UL16 campaign. The ggH selection strategy is based on the
- CMS H→WW measurement: A. Tumasyan et al. (CMS Collaboration), Eur. Phys. J. C 83, 667 (2023).