Author/Authors :
Baldini، نويسنده , , A and Bemporad، نويسنده , , C and Cei، نويسنده , , F and Grassi، نويسنده , , M and Nicolٍ، نويسنده , , D and Pazzi، نويسنده , , R and Pieri، نويسنده , , G and Apollonio، نويسنده , , M and Caffau، نويسنده , , E and Cristaudo، نويسنده , , P and Giannini، نويسنده , , G، نويسنده ,
Abstract :
The Chooz experiment has recently started data taking and will soon start measuring the neutrino flux from two nuclear power reactors at an average distance of 1 km, aiming at discovering possible neutrino oscillations. A hardware implementation of a neural network algorithm was studied and built in order to rapidly (≈ 200 μs) reconstruct the energy and the position of the events inside the detector. The performances of this system and preliminary results on the first experimental data are presented. The system can be used for a fast rejection of background events.
