> **Paper:** CMS-SUS-16-034
> **Centre-of-mass energy:** 13 TeV
> **Luminosity:** 35.9 fb⁻¹
> **Task type:** simulation
> **Signal benchmark:** `TChiWZ_550_200`
> **Signal region:** electroweak WZ/ZZ region
> **Observable:** `E_T^miss`

### Task

Implement the search analysis described in **CMS-SUS-16-034** and use it to predict the binned differential signal yield in `E_T^miss` for the benchmark point `TChiWZ_550_200`, in the analysis's **electroweak WZ/ZZ signal region**, normalized to 35.9 fb⁻¹ at √s = 13 TeV.

You should:

1. Generate `TChiWZ_550_200` events using a matrix-element generator + parton shower + detector simulation chain of your choice.
2. Read the paper to determine the object identification, baseline event-selection requirements, and the WZ/ZZ-region cuts that define this analysis. Apply them to your generated events.
3. Histogram the surviving events in `E_T^miss` using the bin edges already present in the `results/*.yaml` template (do not modify them).

### Definitions

- `E_T^miss` — the magnitude of the negative vector sum of the transverse momenta of all reconstructed particle-flow candidates in the event.
- `TChiWZ_550_200` — associated production of a chargino and a neutralino via the simplified-model topology `pp → χ̃⁺₁ χ̃⁰₂` with `χ̃⁺₁ → W χ̃⁰₁`, `χ̃⁰₂ → Z χ̃⁰₁`, at `m(χ̃⁺₁) = m(χ̃⁰₂) = 550 GeV` and `m(χ̃⁰₁) = 200 GeV`. The lightest neutralino is the LSP and escapes the detector, contributing to `E_T^miss`.
- **Electroweak WZ/ZZ region** — the analysis's multilepton signal region(s) targeting `WZ` and `ZZ`-mediated electroweakino topologies (on-Z dilepton + extra lepton(s) + `E_T^miss`), as defined in the paper.

### Output requirements

| Artifact | Purpose |
|---|---|
| `results/*.yaml` | Fill the `null` bin values with your predicted signal yields. |
| `analysis/*.py` | Event-selection code, runnable on your generated sample(s). |
| `data/*.root`, `sims/*.dat` | Selected-event files + generator / detector cards. |
| `report.md` | What you produced, the methodological choices you made, and where you deviated from the paper (if at all). |

### Important

> The goal is to *predict* the signal event distribution from your own simulation and analysis pipeline. Do not extract bin values from the paper's figures, tables, HEPData record, or elsewhere.


### Answer template (YAML)

instructions: "Fill the 'null' bin values in dependent_variables with your results.
               In the rightmost bin include ALL events with E_T^miss > 350 GeV.
               Do not modify bin edges.
              "
description: "Signal event counts for binned E_T^miss"
target: "TChiWZ, chargino/neutralino-2 550 GeV, neutralino-1 200 GeV"
cm_energy_gev: 13000
luminosity_fb: 35.9
---
dependent_variables:
- header: {name: TChiWZ_550_200}
  values:
  - {value: null}
  - {value: null}
  - {value: null}
  - {value: null}
independent_variables:
- header: {name: ETMISS, units: GEV}
  values:
  - {low: 100.0, high: 150.0}
  - {low: 150.0, high: 250.0}
  - {low: 250.0, high: 350.0}
  - {low: 350.0, high: 450.0}