VLVnT13 - Very Large Volume Neutrino Telescope Workshop 2013

Session

Computing and Data

C&D

6 Aug 2013, 16:00

AlbaNova University Center

332. The Data Acquisition System of the IceCube Neutrino Observatory

John Kelley (Univ. of Wisconsin, Madison)

06/08/2013, 16:00

Computing and Data

The IceCube Neutrino Observatory is a cubic kilometer-scale neutrino detector and air shower array at the geographic South Pole. The online computing system for IceCube comprises subsystems for data acquisition (DAQ), online filtering, supernova detection, and experiment control and monitoring. We present the DAQ software and describe the process of forming events from the stream of...

333. The Trigger and Data Acquisition for the NEMO-Phase 2 Tower

Dr Francesco Simeone (University "Sapienza" and INFN Rome)

06/08/2013, 16:25

Computing and Data

In phase 2 of the NEMO neutrino telescope project a tower holding 32 optical modules is 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" approach, the NEMO TriDAS is optimized to deal with a continuous data-stream from off-shore to on- shore...

334. The IceCube data acquisition system for galactic core collapse supernova searches

Mr Volker Baum (Johannes Gutenberg-Universität Mainz)

06/08/2013, 16:50

Computing and Data

The IceCube Neutrino Observatory was mainly designed to detect highly energetic neutrinos with its lattice of 5160 photomultiplier tubes monitoring 1 cubic kilometer of clear Antarctic ice. Due to low photomultiplier dark noise rates in the cold and inert ice, IceCube is also able to detect several-second-long bursts of O(10 MeV) neutrinos expected to be emitted from galactic core...

330. Trigger Study for NEMO Phase 2

Mr Bachir Bouhadef (INFN Pisa)

06/08/2013, 17:10

Computing and Data

We studied a new trigger for NEMO Phase 2 tower based on hit time difference distribution. Such a trigger uses only a fixed number of PMT signals in a time windows less than a maximum value. The background rate is drastically reduced requiring hits from different PMT and a 75% trigger efficiency was estimated by a Monte Carlo simulation. The trigger rate was also measured on raw data....

331. The relational database system of KM3NeT

Dr Cristiano Bozza (University of Salerno / INFN Gruppo Collegato di Salerno), Prof. Uli Katz (ECAP / Univ. Erlangen)

06/08/2013, 17:30

Computing and Data

The choice of using a relational database in the KM3NeT Collaboration has been natural after the experience in the ANTARES experiment, but with a broader horizon. The core of the system is a RAC installation hosted at the computing centre of IN2P3 in Lyon, but a geographically distributed DB network is foreseen. The DB is used for Collaboration management, detector construction and...