FTK

Fast Tracker for Hadron Collider Experiments

 Coordinatore UNIVERSITA DI PISA 

 Organization address address: Lungarno Pacinotti 43/44
city: PISA
postcode: 56126

contact info
Titolo: Dr.
Nome: Sandra
Cognome: Masi
Email: send email
Telefono: +39 050 2214639
Fax: +39 050 2214634

 Nazionalità Coordinatore Italy [IT]
 Totale costo 1˙594˙681 €
 EC contributo 1˙594˙681 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-IAPP
 Funding Scheme MC-IAPP
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-02-01   -   2017-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITA DI PISA

 Organization address address: Lungarno Pacinotti 43/44
city: PISA
postcode: 56126

contact info
Titolo: Dr.
Nome: Sandra
Cognome: Masi
Email: send email
Telefono: +39 050 2214639
Fax: +39 050 2214634

IT (PISA) coordinator 465˙998.13
2    COSTRUZIONI APPARECCHIATURE ELETTRONICHE NUCLEARI C.A.E.N. SPA

 Organization address address: VIA VETRAIA 11
city: VIAREGGIO
postcode: 55049

contact info
Titolo: Mr.
Nome: Alessandro
Cognome: Iovene
Email: send email
Telefono: +39 0584 388 398
Fax: +39 0584 388 959

IT (VIAREGGIO) participant 398˙579.04
3    ARISTOTELIO PANEPISTIMIO THESSALONIKIS

 Organization address address: Administration Building, University Campus
city: THESSALONIKI
postcode: 54124

contact info
Titolo: Ms.
Nome: Georgia
Cognome: Petridou
Email: send email
Telefono: +30 2310995140
Fax: +30 2310853283

EL (THESSALONIKI) participant 263˙989.66
4    EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH

 Organization address address: ROUTE DE MEYRIN CERN
city: GENEVA 23
postcode: 1211

contact info
Titolo: Mr.
Nome: Seamus
Cognome: Hegarty
Email: send email
Telefono: +41 22 767 27 55

CH (GENEVA 23) participant 187˙246.37
5    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE

 Organization address address: Rue Michel -Ange 3
city: PARIS
postcode: 75794

contact info
Titolo: Mr.
Nome: Louis
Cognome: Avigdor
Email: send email
Telefono: +33 1 42349417

FR (PARIS) participant 169˙421.45
6    Prisma Electronics ABEE

 Organization address address: Dimokratias Avenue 87
city: ALEXANDROUPOLIS
postcode: 68100

contact info
Titolo: Mr.
Nome: Petros
Cognome: Soukoulias
Email: send email
Telefono: +30 2551035013
Fax: 302551000000

EL (ALEXANDROUPOLIS) participant 109˙447.25

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

pattern    real    capability    device    ftk    reconstruction    events    processor    fast    quality    atlas    lhc    recognition    track    data    physics    time   

 Obiettivo del progetto (Objective)

'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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