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Measurement of the Z boson cross-section in - Harvard University ...

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Chapter 6: Event Selection 175<br />

Figure 6.9: Left: Comparison <strong>of</strong> <strong>the</strong> number <strong>of</strong> reconstructed vertices per event <strong>in</strong><br />

periods A-C with that <strong>in</strong> period D. Right: Comparison <strong>of</strong> <strong>the</strong> number <strong>of</strong> reconstructed<br />

vertices per event <strong>in</strong> data and Monte Carlo. The distributions are from after <strong>the</strong><br />

muon pre-selection requirements. Vertices are required have |z| < 150 mm from <strong>the</strong><br />

nom<strong>in</strong>al <strong>in</strong>teraction po<strong>in</strong>t and at lest three <strong>in</strong>ner detector tracks associated with it.<br />

The data-tak<strong>in</strong>g periods were def<strong>in</strong>ed <strong>in</strong> Chapter 4.<br />

is <strong>the</strong> correspond<strong>in</strong>g fraction <strong>in</strong> Monte Carlo. We use vertices after <strong>the</strong> event pre-<br />

selection that satisfy |zvtx| < 150 mm from <strong>the</strong> nom<strong>in</strong>al <strong>in</strong>teraction po<strong>in</strong>t and have<br />

at least three associated <strong>in</strong>ner detector tracks. The event weights used on <strong>the</strong> Monte<br />

Carlo as well as <strong>the</strong> fraction <strong>of</strong> events with each vertex multiplicity are summarized<br />

<strong>in</strong> Table 6.2. Fur<strong>the</strong>r details <strong>of</strong> <strong>the</strong> weight<strong>in</strong>g procedure can be found <strong>in</strong> [62].<br />

6.2.2 Acceptance <strong>of</strong> Z selection from Monte Carlo cutflow<br />

We can def<strong>in</strong>e <strong>the</strong> acceptance as <strong>the</strong> number <strong>of</strong> events pass<strong>in</strong>g our selection criteria<br />

divided by <strong>the</strong> total number <strong>of</strong> generated events. Table 6.3 shows <strong>the</strong> number <strong>of</strong> Monte<br />

Carlo Z → µµ events pass<strong>in</strong>g each step <strong>of</strong> <strong>the</strong> selection as well as <strong>the</strong> efficiency <strong>of</strong><br />

each step relative to <strong>the</strong> full sample and to <strong>the</strong> previous step.

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