Author/Authors :
Baldanza، نويسنده , , C. and Beichter، نويسنده , , J. and Bisi، نويسنده , , F. and Bruels، نويسنده , , N. and Bruschini، نويسنده , , C. and Cotta-Ramusino، نويسنده , , A. and DʹAntone، نويسنده , , I. and Malferrari، نويسنده , , L. and Mazzanti، نويسنده , , P. and Musico، نويسنده , , P. and Novelli، نويسنده , , P. and Odorici، نويسنده , , F. and Odorico، نويسنده , , R. and Passaseo، نويسنده , , M. and Zuffa، نويسنده , , M.، نويسنده ,
Abstract :
Results from a neural-network trigger based on the digital MA16 chip of Siemens are reported. The neural trigger has been applied to data from the WA92 experiment, looking for beauty particles, which have been collected during a run in which a neural trigger module based on Intelʹs analog neural chip ETANN operated, as already reported. The MA16 board hosting the chip has a 16-bit IO precision and a 53-bit precision for internal calculations. It operated at 50 MHz, yielding a response time for a 16 input-variable net of 3 μs for a Fisher discriminant (1-layer net) and of 6 μs for a 2-layer net. Results are compared with those previously obtained with the ETANN trigger.