154525 Conferences false [["minutes", "Minutes"], ["notes", "Notes"], ["paper", "Paper"], ["poster", "Poster"], ["slides", "Slides"], ["summary", "Summary"]] Sezione di Pisa (IT) fabrizio.palla@cern.ch 15116 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 &ldquo;intelligence&rdquo;.<br /> 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.<br /> This Workshop would provide a discussion forum for the community of scientists and engineers working on development of intelligent devices.<br /> 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.<br /> The format of the workshop is on plenary sessions, for a duration of 2.5 days.<br /> This Workshop is the second of the series. The <a href="https://indico.cern.ch/conferenceDisplay.py?confId=68677" target="_blank"> first one </a>was held in Berkeley in 2010. <br /> Registration for the workshop will be <b>by invitation</b> following review of abstracts. <br /> The abstract submission deadline is <b>January 14, 2012</b>. <br /> Proceedings of the workshop will be published in <b>JINST</b>. <br /> Deadline extended to January 28, 2012. <br /> We invite submission of abstracts in the following subjects:<br /> *Applications of intelligent detectors<br /> *Coupled layer and monolithic architectures<br /> *Development of specific components<br /> *Electronic circuits (3D and conventional) on- and off-detector<br /> *High speed communication<br /> *System integration<br /> *Real time pattern recognition<br /> *Advanced Algorithms False INFN Pisa

Largo Bruno Pontecorvo 3 56127 Pisa Italy

2012-05-03T08:00:00 2012-05-05T18:00:00 2011-09-08T14:54:03 2012-07-19T06:36:21 Europe/Paris 66 false [["minutes", "Minutes"], ["notes", "Notes"], ["paper", "Paper"], ["poster", "Poster"], ["slides", "Slides"], ["summary", "Summary"]] Cornell University (US) emmanuele.salvati@cern.ch Cornell University (US) emmanuele.salvati@cern.ch INFN Pisa

Largo Bruno Pontecorvo 3 56127 Pisa Italy

2012-05-03T14:30:00 2012-05-03T15:00:00 00:30 The upgrade of the LHC machine is planned to deliver luminosities 5 to 10 times larger than the design one of 1e34 cm-2s-1. A novel tracking system for the CMS experiment must be designed and built. One main aspect of the current activities consists in understanding the capabilities that different designs such a tracker would have to provide for the Level 1 hardware trigger to complement the muon and calorimeter information. Data rate reduction at hardware level consists in both reducing multiple hits from a single track and rejection of low Pt tracks. Pattern-based hit correlation of properly built clusters of hits would provide quality Level 1 primitives to the hardware trigger. These can be combined together in a projective geometry to perform a rough tracking to be implemented online, returning rough Pt, direction and vertex information for a candidate track. The benchmark results from simulations within the official CMS framework are presented for one particular layout based on barrel trigger layers, emphasizing the flexibility of this tool for the design and test of different tracking strategies at level 1 to be compared with the developments in trigger architectures implementation. slides doc http://indico.cern.ch/images/word.png word file ppt http://indico.cern.ch/images/powerpoint.png powerpoint file pdf http://indico.cern.ch/images/pdf_small.png pdf file odt http://indico.cern.ch/images/writer.png writer file odp http://indico.cern.ch/images/impress.png presentation file ods http://indico.cern.ch/images/calc.png spreadsheet file other http://indico.cern.ch/images/file_small.png unknown type file link http://indico.cern.ch/images/link.png link paper doc http://indico.cern.ch/images/word.png word file ppt http://indico.cern.ch/images/powerpoint.png powerpoint file pdf http://indico.cern.ch/images/pdf_small.png pdf file odt http://indico.cern.ch/images/writer.png writer file odp http://indico.cern.ch/images/impress.png presentation file ods http://indico.cern.ch/images/calc.png spreadsheet file other http://indico.cern.ch/images/file_small.png unknown type file link http://indico.cern.ch/images/link.png link 2013-05-23 2013-05-24