| CMS Note | |
| Report number | CMS-CR-2018-096 |
| Title | Particle Flow and PUPPI in the Level-1 trigger at CMS for the HL-LHC |
| Author(s) | Kreis, Benjamin Jonah (Fermilab) |
| Publication | 2018 |
| Collaboration | CMS Collaboration |
| Imprint | 22 Jun 2018 |
| Number of pages | 7 |
| Presented at | 4th International Workshop Connecting The Dots 2018, Seattle, Washington, 20 - 22 Mar 2018 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; CMS |
| Keywords | General |
| Abstract | With the planned addition of tracking information to the Compact Muon Solenoid (CMS) Level-1 trigger for the High-Luminosity Large Hadron Collider (HL-LHC), the trigger algorithms can be completely reconceptualized. We explore the feasibility of using Particle Flow-like reconstruction and pileup per particle identification (PUPPI) pileup mitigation 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 hardware-resource performance of a prototype algorithm for use by CMS in the HL-LHC era. |
Record created 2018-07-13, last modified 2018-07-13
