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Fast Tracker for Hadron Collider Experiments

Obiettivo

This project aims to develop an extremely fast but compact processor, with supercomputer performances, for pattern recognition, data reduction, and information extraction in high quality image processing.
The proposed hardware prototype features flexibility for potential applications in a wide range of fields, from triggering in high energy physics to simulating human brain functions in experimental psychology or to automating diagnosis by imaging in medical physics. In general, any artificial intelligence process based on massive pattern recognition could largely profit from our device, provided data are suitably prepared and formatted.
The first goal consists in demonstrating the system can perform online track reconstruction of full events at the highest luminosities of the LHC and SLHC) at CERN, beyond the limits of any existent or planned device and despite the overwhelming confusion due to the very high track multiplicity and the exceedingly large event pile-up.
With this goal we participate to the construction and the test for an high precision real-time tracker built for the ATLAS experiment: the Fast Track (FTK) processor. FTK can improve the capability of the ATLAS detector to select interesting events reach of heavy leptons or quarks within the enormous LHC background. It uses FPGA and ASIC chips to implement, real-time, complex track reconstruction algorithms. The track's trajectories are reconstructed in 3D, in few dozens of microseconds and the quality of the parameters is almost offline. FTK will increase the ATLAS discovery capability.
In parallel we will pursue challenging R&D & new real time computing ideas for more complex applications. A new industry-academia cooperation will reinforce the FTK team making it suited for such applications. The knowledge transfer will significantly increase the research quality and overall RTD capability and competitiveness of the partners, opening new scientific directions for our technology dissemination.

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FP7-PEOPLE-2012-IAPP
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Coordinatore

UNIVERSITA DI PISA
Indirizzo
Lungarno Pacinotti 43/44
56126 Pisa
Italia
Tipo di attività
Higher or Secondary Education Establishments
Contributo UE
€ 465 998,13
Contatto amministrativo
Sandra Masi (Dr.)

Partecipanti (5)

COSTRUZIONI APPARECCHIATURE ELETTRONICHE NUCLEARI CAEN SPA
Italia
Contributo UE
€ 398 579,04
Indirizzo
Via Vetraia 11
55049 Viareggio
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Contatto amministrativo
Alessandro Iovene (Mr.)
EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH
Svizzera
Contributo UE
€ 187 246,37
Indirizzo
Esplanade Des Particules 1 Parcelle 11482 De Meyrin Batiment Cadastral 1046
1211 Geneva 23
Tipo di attività
Research Organisations
Contatto amministrativo
Seamus Hegarty (Mr.)
ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Greece
Contributo UE
€ 263 989,66
Indirizzo
Kedea Building, Tritis Septemvriou, Aristotle Univ Campus
54636 Thessaloniki
Tipo di attività
Higher or Secondary Education Establishments
Contatto amministrativo
Georgia Petridou (Ms.)
Prisma Electronics ABEE
Greece
Contributo UE
€ 109 447,25
Indirizzo
Dimokratias Avenue 87
68100 Alexandroupolis
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Contatto amministrativo
Petros Soukoulias (Mr.)
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Francia
Contributo UE
€ 169 421,45
Indirizzo
Rue Michel Ange 3
75794 Paris
Tipo di attività
Other
Contatto amministrativo
Louis Avigdor (Mr.)