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 <user>
  <title></title>
  <name first="Fabrizio" middle="" last="Palla"></name>
  <organization>Sezione di Pisa (IT)</organization>
  <email>fabrizio.palla@cern.ch</email>
  <userid>15116</userid>
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<title>WIT2012 Workshop on Intelligent Trackers</title>
<description>With the increasing capabilities of microelectronic technology, future particle detectors will be able to yield high level features that are not only simple geometrical positions or energy measurements in the sensors used. The ability to compute such high level primitives in near real-time is what we characterize as &amp;ldquo;intelligence&amp;rdquo;.&lt;br /&gt;
This will enable the construction of detectors with novel functionalities, allowing the trigger logic or even the off-line analysis in experiments to handle immediately more complex features of the measurements. Two examples of new primitives are near real-time charged particle direction or charge clusters without pixel boundary effects. But the addition of such intelligence has practical challenges and in particular system issues must be addressed, such as material budget and power density.&lt;br /&gt;
This Workshop would provide a discussion forum for the community of scientists and engineers working on development of intelligent devices.&lt;br /&gt;
The objectives of the workshop will be to enhance the cross breeding of ideas, to compare concepts for incorporating intelligence in particle trackers, and to explore possibilities for application to other areas.&lt;br /&gt;
The format of the workshop is on plenary sessions, for a duration of 2.5 days.&lt;br /&gt;
This Workshop is the second of the series. The &lt;a href="https://indico.cern.ch/conferenceDisplay.py?confId=68677" target="_blank"&gt; first one &lt;/a&gt;was held in Berkeley in 2010.
&lt;br /&gt;
Registration for the workshop will be &lt;b&gt;by invitation&lt;/b&gt; following review of abstracts.
&lt;br /&gt;
The abstract submission deadline is &lt;b&gt;January 14, 2012&lt;/b&gt;.
&lt;br /&gt;
Proceedings of the workshop will be published in &lt;b&gt;JINST&lt;/b&gt;.
&lt;br /&gt;
Deadline extended to January 28, 2012.
&lt;br /&gt;
We invite submission of abstracts in the following subjects:&lt;br /&gt;
*Applications of intelligent detectors&lt;br /&gt;
*Coupled layer and monolithic architectures&lt;br /&gt;
*Development of specific components&lt;br /&gt;
*Electronic circuits (3D and conventional) on- and off-detector&lt;br /&gt;
*High speed communication&lt;br /&gt;
*System integration&lt;br /&gt;
*Real time pattern recognition&lt;br /&gt;
*Advanced Algorithms </description>
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 <name>INFN Pisa</name>
 <address>Largo Bruno Pontecorvo 3
56127 Pisa
Italy</address>
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<startDate>2012-05-03T08:00:00</startDate>
<endDate>2012-05-05T18:00:00</endDate>
<creationDate>2011-09-08T14:54:03</creationDate>
<modificationDate>2012-07-19T06:36:21</modificationDate>
<timezone>Europe/Paris</timezone>
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 <title>Pattern recognition with vector-type detector hits</title>
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   <title>Dr.</title>
   <name first="Rudolf" middle="" last="Frühwirth"></name>
   <organization>ÖAW, HEPHY Vienna</organization>
   <email>rudolf.fruehwirth@oeaw.ac.at</email>
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   <title>Dr.</title>
   <name first="Rudolf" middle="" last="Frühwirth"></name>
   <organization>ÖAW, HEPHY Vienna</organization>
   <email>rudolf.fruehwirth@oeaw.ac.at</email>
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  <name>INFN Pisa</name>
  <address>Largo Bruno Pontecorvo 3
56127 Pisa
Italy</address>
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 <startDate>2012-05-05T11:30:00</startDate>
 <endDate>2012-05-05T12:00:00</endDate>
 <duration>00:30</duration>
 <abstract>Novel types of "intelligent" trackers provide hits consisting of position-cum-direction rather than position alone. 
We study several types of track finding algorithms in this context, for example the Hough transform, neural networks, a cellular automaton, track following, and the combinatorial Kalman filter. The performance of the algorithms is compared on simulated data in a simplified detector model, for various assumptions about the occupancy. We also voice some conjectures on which algorithms might be promising candidates for online deployment.</abstract>
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