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 16 false [["minutes", "Minutes"], ["notes", "Notes"], ["paper", "Paper"], ["poster", "Poster"], ["slides", "Slides"], ["summary", "Summary"]] Coupled sensors and monolithic architectures Ruprecht-Karls-Universitaet Heidelberg (DE) ivan.peric@ti.uni-mannheim.de Ruprecht-Karls-Universitaet Heidelberg (DE) ivan.peric@ti.uni-mannheim.de INFN Pisa

Largo Bruno Pontecorvo 3 56127 Pisa Italy

2012-05-03T17:30:00 2012-05-03T18:00:00 00:30 Active pixel sensors in high-voltage CMOS technologies combine the possibility to equip the sensor segments with complex electronics and a drift-based signal collection. High radiation tolerance has been demonstrated, which makes the technology interesting for LHC applications. We have designed a small pixel sensor demonstrator that can be readout using existing pixel or strip-readout systems. In this way, we replace the presently used diode-based sensors with "intelligent" pixel sensors, which should improve the characteristics of the detector. Smaller pixel size, clustering, or simultaneous readout of two sensor layers, are theoretically possible. 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