| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 01019 | |
| Number of page(s) | 5 | |
| Section | T1 - Online computing | |
| DOI | https://doi.org/10.1051/epjconf/201921401019 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921401019
Particle Flow reconstruction in the CMS Level-1 Trigger For The HL-LHC
CERN
* e-mail: Giovanni.Petrucciani@cern.ch
Published online: 17 September 2019
With the planned addition of the tracking information in the Level-1 trigger in CMS for the High-Luminosity Large Hadron Collider (HL-LHC), the algorithms for the Level-1 trigger can be completely reconceptualized. Following the example for offline reconstruction in CMS to use complementary subsystem information and mitigate pileup, we explore the feasibility of using Particle Flow-like and pileup-per-particle identification techniques at the hardware trigger level. We present the challenges of adapting these algorithm to the timing and resource constraints of the Level-1 trigger, the first prototype implementations, and the expected performance on physics object reconstruction.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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