6-9 March 2017
Europe/Zurich timezone

L1 Tracking at CMS For the HL-LHC using the Tracklet approach

7 Mar 2017, 10:30


9 : Real Time Pattern Recognition


Margaret Zientek (Cornell University (US))


The High Luminosity LHC (HL-LHC) is expected to deliver luminosities of $5\times10ˆ{34} ~\mathrm{cm}ˆ2/\mathrm{s}$, with an average of about 140 overlapping proton-proton collisions per bunch crossing. These extreme pileup conditions place stringent requirements on the trigger system to be able to cope with the resulting event rates. A key component of the CMS upgrade for HL-LHC is a track trigger system which would identify tracks with transverse momentum above 2 GeV already at the first-level trigger. This talk presents a proposal for implementing the L1 tracking using tracklets for seeding.

Results from a recently completed demonstrator project will be presented, which shows good performance and ability to reconstruct tracks within $4\mu s$ of the collision, and projections for ultimate system performance.

Primary authors

Anders Ryd (Cornell University (US)) Anthony Lefeld (Ohio State University (US)) Brian Lee Winer (Ohio State University (US)) Charles Ralph Strohman (Cornell University (US)) Edward Hugo Bartz (Rutgers, State Univ. of New Jersey (US)) Eva Halkiadakis (Rutgers, State Univ. of New Jersey (US)) Jorge Chaves (Cornell University (US)) Kevin Patrick Lannon (University of Notre Dame (US)) Louise Skinnari (Cornell University (US)) Margaret Zientek (Cornell University (US)) Mike Hildreth (University of Notre Dame (US)) Peter Wittich (Cornell University (US)) Savvas Kyriacou (Rutgers, State Univ. of New Jersey (US)) Yuri Gershtein (Rutgers, State Univ. of New Jersey (US)) Zhengcheng Tao (Cornell University (US))

Presentation Materials

Peer reviewing