PoS - Proceedings of Science
Volume 367 - XXIX International Symposium on Lepton Photon Interactions at High Energies (LeptonPhoton2019) - Parallel Sessions
ATLAS Trigger and Data Acquisition Upgrades for the High Luminosity LHC
A. Camplani*  on behalf of the ATLAS Collaboration
Full text: pdf
Pre-published on: October 15, 2019
Published on: December 17, 2019
The ATLAS experiment at CERN has started the construction of upgrades for the ''High Luminosity LHC'', with collisions due to start in 2026. In order to deliver an order of magnitude more data than previous LHC runs, $\sqrt{s}=$14 TeV protons will collide with an instantaneous luminosity of up to 7.5 $\times$ 10$^{34}$ cm$^{-2}$s$^{-1}$, resulting in much higher pileup and data rates than the current experiment was designed to handle. While this is essential to realize 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 approved baseline design of the TDAQ upgrade comprises: a hardware-based low-latency real-time Trigger operating at 40 MHz, Data Acquisition which combines custom readout with commodity hardware and networking to deal with 5.2 TB/s input, and an Event Filter running at 1 MHz which combines offline-like algorithms on a large commodity compute service augmented by hardware tracking. 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 track reconstruction with Associative Memory ASICs and FPGAs are designed to combat pileup in the Trigger and Event Filter respectively. This paper will report recent progress on the design, technology and construction of the system. The physics motivation and expected performance will be shown for key physics processes.
DOI: https://doi.org/10.22323/1.367.0055
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.