Abstract
Traditional latency-limited trigger architectures typical for conventional experiments are inapplicable for the CBM experiment. Instead, CBM will ship and collect time-stamped data into a readout buffer in a form of a time-slice of a certain length and deliver it to a large computer farm, where online event reconstruction and selection will be performed. Grouping measurements into physical collisions must be performed in software and requires reconstruction not only in space, but also in time, the so-called 4-dimensional track reconstruction and event building. The tracks, reconstructed with 4D Cellular Automaton track finder, are combined into event-corresponding clusters according to the estimated time in the target position and the errors, obtained with the Kalman Filter method. The reconstructed events are given as inputs to the KF Particle Finder package for short-lived particle reconstruction. The results of time-based reconstruction of simulated collisions in CBM are presented and discussed in details.
Highlights
The physics program of the CBM experiment [1] requires studying the multiplicity, distribution in phase space and collective effects of all interesting particles, including very rare short-lived particles
A reconstructed track is assigned to a simulated particle, if at least 70% of its hits have been caused by the same particle
The results of the event building have shown, that 83% of events were reconstructed without event merging and 17% of events were merged into double event clusters
Summary
The physics program of the CBM experiment [1] requires studying the multiplicity, distribution in phase space and collective effects of all interesting particles, including very rare short-lived particles. The experiment will operate with freestreaming data and self-triggered front-end electronics. Within such a complicated operation scenario detector measurements corresponding to particles produced in different collisions cannot be separated based on their time information in a simple way. The experiment will ship and collect time-stamped data into a readout buffer in the form of a time-slice of a certain length. The collisions will be resolved in the online mode by the First Level Event Selection (FLES) package [2] during the reconstruction of tracks and short-lived particles. The reconstruction algorithms have been developed to operate with the time-slices taking into account the time information. Track category, % All tracks Primary high-p Secondary high-p Clone level Ghost level
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