Title of article :
Online pattern recognition for the ALICE high level trigger
Author/Authors :
Bramm، نويسنده , , R. and Helstrup، نويسنده , , H. N. Lien، نويسنده , , J. and Lindenstruth، نويسنده , , V. and Loizides، نويسنده , , C. and Rohrich، نويسنده , , D. and Skaali، نويسنده , , B. and Steinbeck، نويسنده , , T. and Stock، نويسنده , , R. and Ullaland، نويسنده , , K. and Vestbّ، نويسنده , , A. and Wiebalck، نويسنده , , A.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Pages :
3
From page :
443
To page :
445
Abstract :
The ALICE High Level Trigger system needs to reconstruct events online at high data rates. Focusing on the Time Projection Chamber we present two pattern recognition methods under investigation: the sequential approach (cluster finding, track follower) and the iterative approach (Hough Transform, cluster assignment, re-fitting). The implementation of the former in hardware indicates that we can reach the designed inspection rate for p–p collisions of 1 kHz with 98% efficiency.
Journal title :
Nuclear Instruments and Methods in Physics Research Section A
Serial Year :
2003
Journal title :
Nuclear Instruments and Methods in Physics Research Section A
Record number :
2198647
Link To Document :
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