Measurement of the Z boson cross-section in - Harvard University ...
Measurement of the Z boson cross-section in - Harvard University ...
Measurement of the Z boson cross-section in - Harvard University ...
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Chapter 7: Background Estimation 208<br />
7.1 QCD background<br />
Multijet production can lead to backgrounds to Z production <strong>in</strong> <strong>the</strong> dimuon chan-<br />
nel via two pr<strong>in</strong>cipal processes: heavy-flavor production (b or c quarks) and decay-<strong>in</strong>-<br />
flight <strong>of</strong> pions and kaons. Heavy-flavor production <strong>of</strong> b ¯ b and c¯c leads to b/c hadrons.<br />
Muons can be produced <strong>in</strong> <strong>the</strong> subsequent decays <strong>of</strong> <strong>the</strong>se hadrons. S<strong>in</strong>ce <strong>the</strong>se<br />
muons are associated with jets and do not orig<strong>in</strong>ate from <strong>the</strong> primary proton-proton<br />
hard scatter<strong>in</strong>g, <strong>the</strong>se backgrounds can be reduced significantly by select<strong>in</strong>g muons<br />
associated with <strong>the</strong> primary vertex, isolated from hadronic activity, and with large<br />
transverse momenta. None<strong>the</strong>less, because <strong>of</strong> <strong>the</strong> large multijet production <strong>cross</strong>-<br />
<strong>section</strong>, events <strong>in</strong> <strong>the</strong> tails <strong>of</strong> <strong>the</strong> distributions contribute to <strong>the</strong> background after our<br />
Z selection criteria and need to be estimated properly.<br />
In view <strong>of</strong> <strong>the</strong> large <strong>cross</strong>-<strong>section</strong>s, <strong>the</strong>se backgrounds should ideally be estimated<br />
from data, but <strong>the</strong> small number <strong>of</strong> high-pT dimuon events from multijet sources <strong>in</strong><br />
our dataset makes it difficult to do so. We never<strong>the</strong>less make an attempt to estimate<br />
<strong>the</strong> QCD background from data us<strong>in</strong>g two different methods, as detailed below.<br />
7.1.1 Data-driven QCD background estimation<br />
Exponential fit to <strong>the</strong> Mµµ distribution<br />
The basic strategy underly<strong>in</strong>g data-driven QCD background estimates is to use<br />
a sample <strong>of</strong> events with enriched QCD content to estimate <strong>the</strong> QCD contam<strong>in</strong>ation<br />
<strong>in</strong> <strong>the</strong> Z sample after isolation cuts. One implementation <strong>of</strong> this concept is to use a<br />
fit to <strong>the</strong> dimuon <strong>in</strong>variant mass spectrum shown at <strong>the</strong> bottom <strong>of</strong> Figure 6.8. This<br />
distribution conta<strong>in</strong>s events which have passed our high-pT event selection criteria as