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<font color="#000099"><b><font color="#3333ff">Physics Seminar<br>
Wednesday, Jan. 5, 2011<br>
4:00PM<br>
CEBAF Center Room F113<br>
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<p class="MsoNormal" style="text-align: center;" align="center"><b
style=""><span style="font-size: 24pt;"><font color="#cc0000"><small>“Tracking
Algorithms based on the
Probabilistic Data Association”</small></font><span
style="color: rgb(204, 0, 0);"><o:p></o:p></span></span></b></p>
<p class="MsoNormal" style="text-align: center;" align="center"><b><span
style="font-size: 24pt; color: rgb(204, 0, 0);"><br>
</span></b><b style=""><span style="font-size: 20pt;"><font
color="#3333ff"><small>Dmitry
Emeliyanov<span style="color: rgb(204, 0, 0);"><br>
</span>Rutherford Appleton Laboratory, UK</small></font><o:p></o:p></span></b></p>
<b><span style="font-size: 20pt; color: rgb(204, 0, 0);"><o:p></o:p></span></b><b><span
style="font-size: 20pt; color: rgb(204, 0, 0);"><o:p></o:p></span></b>A
problem of "hit-to-track" association for track reconstruction in
particle physics experiments is considered. It is shown that a Bayesian
solution results in a special extension of a standard Kalman filter -
the
so-called Probabilistic Data Association Filter (PDAF). Examples of the
PDAF
applications for various detector technologies are given. Practical
issues
relating to the PDAF implementation are discussed.
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