Data Processing for ALICE at the LHC

Not scheduled
HUB 211 (University of the Witwatersrand)

HUB 211

University of the Witwatersrand

Wits Professional Development HUB 92 Empire Road, Braamfontein 2001, Johannesburg

Speaker

Dr Tom Dietel (University of Cape Town)

Description

The ALICE collaboration studies the Quark-Gluon Plasma, a deconfined state of strongly interacting matter at extreme temperatures and densities, which is created in high-energy collisions of heavy nuclei at the Large Hadron Collider (LHC) at CERN. The ALICE apparatus was designed to inspect Pb-Pb collisions at an interaction rate of 8000 Hz, to read out up to 1000 events per second, and to record data at a rate of more than 1 GB/s. ALICE also analyzes p-p and p-Pb collisions at interaction rates up to 200 kHz, with similar limits on read-out and data rates as for Pb-Pb collisions. ALICE employs a multi-level hardware trigger system to select interactions for read-out and a High-Level Trigger to perform online reconstruction, data compression and further event selection. In parallel to the luminosity upgrade of the LHC during the second long shutdown in 2018/19, a major uppgrade to ALICE is planned, including replacements for the inner silicon tracker and the read-out chambers of the time-projection chamber. These detectors will feature continuous read-out, pushing the data rate above 1 TB/s. A new computing system will reduce the data rate to tape while keeping the full event sample of up to 50 kHz Pb-Pb collisions, using online reconstruction, storage of partially reconstructed data and compression. I will present the main physics goals and data taking strategy for the previous and upcoming runs until 2017. I will then present the upgrade of the ALICE experiment, pointing out how the changing physics goals influence the technology selection for the upgrade. I will focus on the design of the new computing system to process a data stream of more than 1 TB/s.

Primary author

Dr Tom Dietel (University of Cape Town)

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