20–22 Mar 2018
University of Washington Seattle
US/Pacific timezone

Particle Flow and PUPPI in the Level-1 trigger at CMS for the HL-LHC

20 Mar 2018, 17:45
15m
Physics-Astronomy Auditorium A118 (University of Washington Seattle)

Physics-Astronomy Auditorium A118

University of Washington Seattle

Poster 2: Real-time pattern recognition and fast tracking Poster

Speaker

Ben Kreis (Fermi National Accelerator Lab. (US))

Description

With the planned addition of the tracking information in the Level 1 trigger in CMS for the HL-LHC, the algorithms for 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. This represents a new type of multi-subdetector pattern recognition challenge for the HL-LHC. We present proof-of-principle studies on both physics and resource usage performance of a prototype algorithm for use by CMS in the HL-LHC era.

Primary author

Ben Kreis (Fermi National Accelerator Lab. (US))

Presentation materials

Peer reviewing

Paper