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 41 false [["minutes", "Minutes"], ["notes", "Notes"], ["paper", "Paper"], ["poster", "Poster"], ["slides", "Slides"], ["summary", "Summary"]] Coupled sensors and monolithic architectures CERN duccio.abbaneo@cern.ch CERN alessandro.marchioro@cern.ch CERN duccio.abbaneo@cern.ch INFN Pisa

Largo Bruno Pontecorvo 3 56127 Pisa Italy

2012-05-03T15:00:00 2012-05-03T15:30:00 00:30 The capability of performing quick recognition of particles with high transverse momentum (more than a few GeV/c) in the inner tracker is deemed essential to keep the CMS trigger rate at an acceptable level at a higher luminosity LHC (L > 10^34 cm-2 s-1). We present an architecture for a novel tracking module based on a combination of a pixelated sensor with a short strip sensor that would offer such capability. The critical aspects of the design such as the projected power consumption, the resulting material budget, and the data flow model are discussed and estimates are given. It is also shown that a manufacturable module of this type is well within the capabilities of currently available microelectronic and packaging-assembly technologies. 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 2013-05-19 2013-05-20