The trigger and data acquisition for the NEMO-Phase 2 tower | Zendy

C. Pellegrino | Zendy; Francesco Simeone | Zendy; T. Chiarusi | Zendy; S. Aiello | Zendy; F. Ameli | Zendy; M. Anghinolfi | Zendy; G. C. Barbarino | Zendy; E. Barbarito | Zendy; Felicia Barbato | Zendy; N. Beverini | Zendy; S. Biagi | Zendy; B. Bouhadef | Zendy; C. Bozza | Zendy; G. Cacopardo | Zendy; M. Calamai | Zendy; Corrado Calì | Zendy; A. Capone | Zendy; Francesco Caruso | Zendy; A. Ceres | Zendy; M. Circella | Zendy; R. Cocimano | Zendy; R. Coniglione | Zendy; Marta Nunes da Costa | Zendy; G. Cuttone | Zendy; C. D’Amato | Zendy; Vittorio D’Amato | Zendy; Antonio A. D’Amico | Zendy; G. De Bonis | Zendy; V. DeLuca | Zendy; N. Deniskina | Zendy; G. DeRosa | Zendy; C. Distefano | Zendy; P. Fermani | Zendy; V. Flaminio | Zendy; L. Fusco | Zendy; F. Garufi | Zendy; V. Giordano | Zendy; Gabriele Giovanetti | Zendy; A. Gmerk | Zendy; Rosaria Grasso | Zendy; G. Grella | Zendy; C. Hugon | Zendy; M. Imbesi | Zendy; V. Kulikovskiy | Zendy; G. Larosa | Zendy; D. Lattuada | Zendy; E. Leonora | Zendy; P. Litrico | Zendy; A. Lonardo | Zendy; F. Longhitano | Zendy; D. Lo Presti | Zendy; E. Maccioni | Zendy; A. Margiotta | Zendy; A. Martini | Zendy; R. Masullo | Zendy; P. Migliozzi | Zendy; E. Migneco | Zendy; A. Miraglia | Zendy; C.M. Mollo | Zendy; M. Mongelli | Zendy; M. Morganti | Zendy; P. Musico | Zendy; M. Musumeci | Zendy; C. A. Nicolau | Zendy; A. Orlando | Zendy; R. Papaleo | Zendy; M. G. Pellegriti | Zendy; C. Perrina | Zendy; P. Piattelli | Zendy; C. Pugliatti | Zendy; S. Pulvirenti | Zendy; F. Raffaelli | Zendy; N. Randazzo | Zendy; G. Riccobene | Zendy; A. Rovelli | Zendy; M. Sanguineti | Zendy; P. Sapienza | Zendy; I. Sgura | Zendy; V. Sipala | Zendy; M. Spurio | Zendy; F. Speziale | Zendy; C. Spitaleri | Zendy; M. Taiuti | Zendy; G. Terreni | Zendy; L. Trasatti | Zendy; A. Trovato | Zendy; Cynthia Ventura | Zendy; P. Vicini | Zendy; S. Viola | Zendy; D. Vivolo | Zendy

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The trigger and data acquisition for the NEMO-Phase 2 tower

Author(s) -

C. Pellegrino,

Francesco Simeone,

T. Chiarusi,

S. Aiello,

F. Ameli,

M. Anghinolfi,

G. C. Barbarino,

E. Barbarito,

Felicia Barbato,

N. Beverini,

S. Biagi,

B. Bouhadef,

C. Bozza,

G. Cacopardo,

M. Calamai,

Corrado Calì,

A. Capone,

Francesco Caruso,

A. Ceres,

M. Circella,

R. Cocimano,

R. Coniglione,

Marta Nunes da Costa,

G. Cuttone,

C. D’Amato,

Vittorio D’Amato,

Antonio A. D’Amico,

G. De Bonis,

V. DeLuca,

N. Deniskina,

G. DeRosa,

C. Distefano,

P. Fermani,

V. Flaminio,

L. Fusco,

F. Garufi,

V. Giordano,

Gabriele Giovanetti,

A. Gmerk,

Rosaria Grasso,

G. Grella,

C. Hugon,

M. Imbesi,

V. Kulikovskiy,

G. Larosa,

D. Lattuada,

E. Leonora,

P. Litrico,

A. Lonardo,

F. Longhitano,

D. Lo Presti,

E. Maccioni,

A. Margiotta,

A. Martini,

R. Masullo,

P. Migliozzi,

E. Migneco,

A. Miraglia,

C.M. Mollo,

M. Mongelli,

M. Morganti,

P. Musico,

M. Musumeci,

C. A. Nicolau,

A. Orlando,

R. Papaleo,

M. G. Pellegriti,

C. Perrina,

P. Piattelli,

C. Pugliatti,

S. Pulvirenti,

F. Raffaelli,

N. Randazzo,

G. Riccobene,

A. Rovelli,

M. Sanguineti,

P. Sapienza,

I. Sgura,

V. Sipala,

M. Spurio,

F. Speziale,

C. Spitaleri,

M. Taiuti,

G. Terreni,

L. Trasatti,

A. Trovato,

Cynthia Ventura,

P. Vicini,

S. Viola,

D. Vivolo

Publication year - 2014

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.4902796

Subject(s) - computer science , scalability , tower , data acquisition , shore , data stream , bandwidth (computing) , computer hardware , real time computing , database , engineering , operating system , telecommunications , geology , civil engineering , oceanography

In the framework of the Phase 2 of the NEMO neutrino telescope project, a tower with 32 optical modules is being operated since march 2013. A new scalable Trigger and Data Acquisition System (TriDAS) has been developed and extensively tested with the data from this tower. Adopting the all-data-to-shore concept, the NEMO TriDAS is optimized to deal with a continuous data-stream from off-shore to on-shore with a large bandwidth. The TriDAS consists of four computing layers: (i) data aggregation of isochronal hits from all optical modules; (ii) data filtering by means of concurrent trigger algorithms; (iii) composition of the filtered events into post-trigger files; (iv) persistent data storage. The TriDAS implementation is reported together with a review of dedicated on-line monitoring tools

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