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 ,
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
Astroparticle Physics
Record number
2021303
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