| ATLAS Note | |
| Report number | ATL-DAQ-PROC-2016-030 |
| Title | The ATLAS Fast Tracker Processing Units - track finding and fitting |
| Author(s) |
Krizka, Karol (University of Chicago, Enrico Fermi Institute) ; Alison, John (University of Chicago, Enrico Fermi Institute) ; Ancu, Lucian Stefan (Departement de Physique Nucleaire et Corpusculaire, Universite de Geneve) ; Andreani, Alessandro (INFN Milano and Universita' di Milano, Dipartimento di Fisica) ; Annovi, Alberto (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Beccherle, Roberto (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Beretta, Matteo (INFN Laboratori Nazionali di Frascati) ; Biesuz, Nicolo Vladi (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Bogdan, Mircea Arghir (University of Chicago, Enrico Fermi Institute) ; Bryant, Patrick (University of Chicago, Enrico Fermi Institute) ; Calabro, Domenico (INFN Pavia and Universita' di Pavia, Dipartimento di Fisica) ; Citraro, Saverio (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Crescioli, Francesco (Laboratoire de Physique Nucleaire et de Hautes Energies (LPNHE), UPMC, Universite Paris-Diderot, CNRS/IN2P3) ; Dell'Orso, Mauro (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Donati, Simone (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Gentsos, Christos (Aristotle University of Thessaloniki) ; Giannetti, Paola (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Gkaitatzis, Stamatios (Aristotle University of Thessaloniki) ; Gramling, Johanna (Departement de Physique Nucleaire et Corpusculaire, Universite de Geneve) ; Greco, Virginia (CERN Tier-0) ; Horyn, Lesya Anna (University of Chicago, Enrico Fermi Institute) ; Iovene, Alessandro ; Kalaitzidis, Panagiotis (Aristotle University of Thessaloniki) ; Kim, Young-Kee (University of Chicago, Enrico Fermi Institute) ; Kimura, Naoki (Aristotle University of Thessaloniki) ; Kordas, Kostantinos (Aristotle University of Thessaloniki) ; Kubota, Takashi (ARC Centre of Excellence in Particle Physics at the Terascale, School of Physics, The University of Melbourne) ; Lanza, Agostino (INFN Pavia and Universita' di Pavia, Dipartimento di Fisica) ; Liberali, Valentino (INFN Milano and Universita' di Milano, Dipartimento di Fisica) ; Luciano, Pierluigi (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Magnin, Betty (CERN) ; Sakellariou, Andreas (Aristotle University of Thessaloniki) ; Sampsonidis, Dimitrios (Aristotle University of Thessaloniki) ; Saxon, James (University of Chicago, Enrico Fermi Institute) ; Shojaii, Seyed Ruhollah (INFN Milano and Universita' di Milano, Dipartimento di Fisica) ; Sotiropoulou, Calliope Louisa (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Stabile, Alberto (INFN Milano and Universita' di Milano, Dipartimento di Fisica) ; Swiatlowski, Maximilian (University of Chicago, Enrico Fermi Institute) ; Volpi, Guido (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Zou, Rui (University of Chicago, Enrico Fermi Institute) ; Shochet, Mel (University of Chicago, Enrico Fermi Institute) |
| Corporate Author(s) | The ATLAS collaboration |
| Publication | 2016 |
| Imprint | 15 Nov 2016 |
| Number of pages | 3 |
| In: | PoS ICHEP2016 (2016) 965 |
| In: | 38th International Conference on High Energy Physics, Chicago, IL, USA, 03 - 10 Aug 2016, pp.965 |
| DOI | 10.22323/1.282.0965 |
| Subject category | Particle Physics - Experiment |
| Accelerator/Facility, Experiment | CERN LHC ; ATLAS |
| Free keywords | ftk ; processing unit |
| Abstract | The Fast Tracker is a hardware upgrade to the ATLAS trigger and data-acquisition system, with the goal of providing global track reconstruction by the start of the High Level Trigger starts. The Fast Tracker can process incoming data from the whole inner detector at full first level trigger rate, up to 100 kHz, using custom electronic boards. At the core of the system is a Processing Unit installed in a VMEbus crate, formed by two sets of boards: the Associative Memory Board and a powerful rear transition module called the Auxiliary card, while the second set is the Second Stage board. The associative memories perform the pattern matching looking for correlations within the incoming data, compatible with track candidates at coarse resolution. The pattern matching task is performed using custom application specific integrated circuits, called associative memory chips. The auxiliary card prepares the input and reject bad track candidates obtained from from the Associative Memory Board using the full precision and a linearized fit. The track candidates from the auxiliary card use only 8 of 12 silicon layers, the track segments are extended to the additional layers by the Second Stage Board. During the first half of 2016, the first Fast Tracker VMEbus Processing Units will be installed in the ATLAS cavern. This talk will summarize the experience with newer associative memory chips and the boards; monitoring/debugging tools, including input/output data rates, track finding efficiency and track fitting results. Comparisons of the different metrics with offline simulation will also be shown. |
| Copyright/License | Preprint: (License: CC-BY-4.0) |
Corresponding record in: Inspire
Record created 2016-11-15, last modified 2018-09-24
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