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Model Independent Search for Deviations from the Standard Model ...

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3.2. Concept 33<br />

cal problem as many QCD processes must be simulated and an enormous number of<br />

events must be generated to develop a proper background sample (see Section 6.2).<br />

As a result, <strong>the</strong> analysis presented here extracts <strong>the</strong> QCD-background <strong>from</strong> <strong>the</strong> data.<br />

Ano<strong>the</strong>r disadvantage of MIS is that one does not expect a certain specied signal,<br />

so <strong>the</strong> selection cuts cannot be optimized. This restricts <strong>the</strong> sensitivity of MIS to<br />

relatively large deviations <strong>from</strong> SM. SUSY-signals with small cross sections cannot<br />

be observed. Here it is important to note that MIS is only an alternative <strong>for</strong>m of<br />

analysis. Many o<strong>the</strong>r analyses attend to <strong>the</strong>se small signals; it is not <strong>the</strong> task of MIS<br />

to cover all needs.<br />

Related to <strong>the</strong> absence of a signal is <strong>the</strong> fact that MIS cannot set any limits. Only<br />

<strong>the</strong> level of consistency between observed data and <strong>the</strong> MC models can be quantied<br />

such that regions of signicant deviation can be identied. Also, <strong>the</strong> interpretation<br />

of <strong>the</strong>se deviations is not trivial, as it is dicult to relate an observed deviation<br />

to a specic extension of <strong>the</strong> SM. The idea of MIS is to identify <strong>the</strong>se regions and<br />

<strong>the</strong>n start to rene <strong>the</strong> analysis by sacricing model independence. Finding denite<br />

explanations <strong>for</strong> a deviations is often a separate step and a seperate analysis.<br />

± Finally, one should mention that it is a chance as well as an obstacle that a <strong>Model</strong><br />

<strong>Independent</strong> Analysis has received ra<strong>the</strong>r limited attention so far. There are only a<br />

few articles and papers providing in<strong>for</strong>mation and guidelines on MIS (see [18], [19]<br />

and [20]). It is an interesting idea where <strong>the</strong> benets are dicult to estimate, but<br />

<strong>the</strong> lack of broad experience with MIS presents many possible problems.

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