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ATLAS Trigger and Data Acquisition upgrades for the High Luminosity LHC

Authors: Kopeliansky, Revital;

ATLAS Trigger and Data Acquisition upgrades for the High Luminosity LHC

Abstract

The ATLAS experiment at CERN is constructing an upgraded system for the “High Luminosity LHC”, with collisions due to start in 2029. In order to deliver an order of magnitude more data than previous LHC runs, 7 TeV protons will collide with an instantaneous luminosity of up to 7.5 x 10e^34 cm^-2s^-1, resulting in much higher pileup and data rates than the current experiment was designed to handle. While this is essential to realise the physics program, it presents a huge challenge for the detector, trigger, data acquisition and computing. The detector upgrades themselves also present new requirements and opportunities for the trigger and data acquisition system. The design of the Trigger and Data Acquisition (TDAQ) system upgrade comprises: a hardware-based low-latency real-time Trigger operating at 40 MHz input rate, Data Acquisition which combines custom readout with commodity hardware and networking to deal with 4.6 TB/s input, and an Event Filter running at 1 MHz input rate which combines offline-like algorithms on a large commodity compute service with the potential to be augmented by commercial accelerators. Commodity servers and networks are used as far as possible, with custom ATCA boards, high speed links and powerful FPGAs deployed in the low-latency parts of the system. Offline-style clustering and jet-finding in FPGAs, and accelerated track reconstruction are designed to combat pileup in the Trigger and Event Filter respectively. This document reports the recent progress on the design, technology and construction of the system.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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