Author/Authors :
Berger، نويسنده , , Jens and Frankenfeld، نويسنده , , Ulrich and Lindenstruth، نويسنده , , Volker and Plamper، نويسنده , , Patrick and Rِhrich، نويسنده , , Dieter and Schنfer، نويسنده , , Erich and W. Schulz، نويسنده , , Markus and M. Steinbeck، نويسنده , , Timm and Stock، نويسنده , , Reinhard and Sulimma، نويسنده , , Kolja and Vestbّ، نويسنده , , Anders and Wiebalck، نويسنده , , Arne، نويسنده ,
Abstract :
In the collisions of ultra-relativistic heavy ions in fixed-target and collider experiments, multiplicities of several ten thousand charged particles are generated. The main devices for tracking and particle identification are large-volume tracking detectors (TPCs) producing raw event sizes in excess of 100 Mbytes per event. With increasing data rates, storage becomes the main limiting factor in such experiments and, therefore, it is essential to represent the data in a way that is as concise as possible. In this paper, we present several compression schemes, such as entropy encoding, modified vector quantization, and data modeling techniques applied on real data from the CERN SPS experiment NA49 and on simulated data from the future CERN LHC experiment ALICE.
