The CMS High Level Trigger Stéphanie Beauceron IPNL/Université Lyon I/CNRS/IN2P3 on behalf of CMS collaboration 1.

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More technical description:
The CMS High-Level Trigger
electron/photon trigger
CMS Feedback on the High pileup (PU) Fill
ALICE Computing Upgrade Predrag Buncic
Trigger  Detectors at 420m can be included in the HLT
Low Level HLT Reconstruction Software for the CMS SST
Installation, Commissioning and Startup of ATLAS & CMS Experiments
Presentation transcript:

The CMS High Level Trigger Stéphanie Beauceron IPNL/Université Lyon I/CNRS/IN2P3 on behalf of CMS collaboration 1

Outline HLT Description 2011 vs 2012: Challenges: – Pile Up – Particle Flow – Ecal Light Corrections Performance on Physics and HLT summary Data Parking/Data Scouting Conclusion 2

High Level Trigger ~15 MHz LHC Level 1 (Jim Brooke talk) High Level Trigger ~100 kHz FPGA and custom ASIC technology software on a filter farm of commercial rack- mounted computers, comprising over CPU 3 Alignment, Calibration and Luminosity (Event Size ~kB) Alignment, Calibration and Luminosity (Event Size ~kB) Physics (Full Event Content), Scouting (Event Size ~kB) Trigger Studies (Event Size ~kB) Data Quality and Monitoring (Various Event Content) 500Hz LumiPixel 10 kHz Pi0/Eta 1.5 kHz EcalPhiSym 1.5 kHz RPCMonitoring 100 Hz Calibration 1 kHz Stream A 40 Hz Express 1.2kHz Data Scouting 10 kHz NanoDST 25 Hz Stream B 75 Hz DQM 1 kHz HLTDQMResults 150 Hz HLTDQM 20 Hz HLTMonitoring

New Challenges 2011: L up to 3.5 Hz/nb 2012: L up to 6.5 Hz/nb  Code improved to reduce pile up dependence 4 Muon cross section at HLT with p T > 40 GeV  Lower and flat in 2012 thanks to better track quality cuts

2012B trigger shows higher efficiency due to introduction of pileup corrections for isolation. Sharp turn on curve, efficiency plateau at ~90% and stable with Pile Up. Single Muon Efficiency 5  Keep good performances wrt 2011

Purity of HLT paths Purity is preserved with respect to pile up. Above 80% purity in for muons.  Quite pure selection of objects at HLT 6

Particle Flow at HLT Improve efficiency of algorithms via particle flow on the HLT farm as for offline Particle flow algorithms: - first implementation for Tau - extension to Jets, Met, Missing HT Particle flow algorithms:  Better resolution on object  Optimization of CPU consumption  Refine technics for pile up subtraction 7 CMS Preliminary 2011

Total HLT “core” “parking” Total HLT “core” “parking” PU=30PU=14 HLT CPU time/evt grows linearly with Pile Up > 5 Hz/nb use extension of HLT farm Current HLT farm [13k core] cope up to 8 Hz/nb PU=28 HLT limit with 100kHz L1 input PU=36 Cross Section almost constant among a run (=with pile up) - No degradation of signal/background wrt to pile up - A few paths with non linear increase with luminosity (working on them) CPU & Cross Section 8 CMS Preliminary 2012

Correction to compensate derived every week in Application to Endcap only so far. Single Electron Efficiency 9 Increase of luminosity  increase of transparency losses in Electromagnetic calorimeter of CMS.  Improvement: steeper turn on curve and keep lower threshold than 2011 thanks to corrections. 33

Photon Efficiency: H  γγ Efficiency of HLT reconstruction for photons above 26 GeV as a function of offline p T & η. Fully efficient at 30 GeV thanks to correction applied in endcap electromagnetic calorimeter.  Crucial triggers for Higgs searches. Efficiency vs. p T Efficiency vs. η for p T > 26 GeV/c 10 Statistical fluctuation HLT_Photon26

Tau efficiency: H  ττ Run 2012A 1.5): due to detector effects and different real tau purity  Very high performance which allow Higgs investigations 11

(Unprescaled) ObjectTrigger Threshold (GeV)Rate (Hz) Physics Single Muon4021Searches Single Isolated muon2443Standard Model Double muon(17, 8) [13, 8 for parked data] 20 [30]Standard Model / Higgs Single Electron808Searches Single Isolated Electron 2759Standard Model Double Electron(17, 8)8Standard Model / Higgs Single Photon1505Searches Double Photon(36, 22)7Higgs Muon + Ele x-trigger(17, 8), (5, 5, 8), (8, 8, 8)3Standard Model / Higgs Single PFJet3209Standard Model QuadJet80 [50 for parked data]8[100]Standard Model /Searches Six Jet(6 x 45), (4 x 60, 2 x 20)3Searches MET1204Searches HT7506Searches HLT 6Hz/nb 12

Data Parking LHC will stop in 2013/2014: Recording additional events to be studied at that time: Vector Boson Fusion: M jj >650 GeV, Δη jj >3.5 MultiJet: 4 Jet with p T >50 GeV HT and MHT: For susy searches MuOnia: low M μμ (Jpsi, Psi`,..) DoubleMu: Mu13_Mu8 TauParked: ττ (with 3prong decays) 5% of parked data are promptly reconstructed for monitoring purpose  On average 350 Hz of "core physics" is promptly reconstructed and 300 Hz of data is parked for future reconstruction 13

Data Scouting Look at events not collected in main stream due to trigger constraints. Scouting approach: Trigger: H T >250 GeV unprescaled High rate (~1 kHz) + reduced event content (i.e. store HLT jets, no RAW data)  Bandwidth (= rate x size) under control [a few MB/s]  Possibility to change stream A triggers in case something interesting is seen by“scouting” Analyses in Data Quality Monitoring- like framework for: Exotica: Dijet search SUSY: Razor, α T HLT jets M jj [GeV] Stream A RAZOR trigger (red dotted line) Stream A RAZOR trigger (red dotted line) Stream A diJet search starts at 1 TeV M R [GeV] R2R2 14 CMS Preliminary

Conclusions HLT is serving many purpose: – Various streams for detector maintenance – Large flexibility to record specific events for physics searches HLT remarkably stable wrt PU – Many improvements in code/tuning of corrections – Allows us to use refined algorithms online – Current HLT Farm able to cope with kHz L1  ~ 8 Hz/nb as instantaneous luminosity with no changes from current prescale setting at HLT – Efficiencies high, turn-on’s sharp, rates stable  Ready to record more data to hunt for/to study new particles 15

Back Up 16

High Level Trigger The HLT: dedicated configuration of the CMS reconstruction software. We currently have ~ cpu cores, and run ~ event processors (exploiting the hyperthreading capability of the CPUs from 2011 and 2012). The current machines are: 720 dual E5430 Xeon quad-core processors 288 dual X5650 Xeon six-core processors (with HyperThreading) 256 dual E Xeon eight-core processors (with HyperThreading) With a nominal input rate of 100 kHz, each process has available an average of ~160 ms to read the input data run all the trigger algorithms (~400 currently) take the final accept/reject decision stream the data to the Storage Managers Nominal output rate ~1 kHz For comparison, offline reconstruction takes ~3 sec per event 17

2009: 720x HLT farm evolution May 2011 add: 72x May 2012 add: 64x 2011: ~100 ms / evt Per-event CPU 100 kHz: 2009: ~50 ms / evt 2012: ~165 ms / evt Original HLT System Dell Power Edge extension Dell Power Edge c extension Dell Power Edge c6220 Form factor 1 motherboard in 1U box 4 motherboards in 2U box CPUs per mother- board 2x 4-core Intel Xeon E5430 Harpertown, 2.66 GHz, 16GB RAM 2x 6-core Intel Xeon X5650 Westmere, 2.66 GHz, hyper-threading, 24 GB RAM 2x 8-core Intel Xeon E Sandy Bridge, 2.6 GHz, hyper threading, 32 GB RAM #boxes72072 (=288 motherboards)64 (=256 motherboards) #cores (+ hyper-threading)4096 (+ hyper-threading) cumulative #cores 5.6k9.1k13.2k cumulative #CMSSW 5k instances11k instances20k instances 18 (CPU budgets are on 1 core of an Intel Harpertown)

Dimuons Efficiency: H  WW Very high efficiencies even for low threshold object  Crucial for exploring H  WW and H  ZZ production mode 19 Chambers died

total HLT “core” “parking” total HLT “core” “parking” Luminosity = 6.6 Hz/nb Luminosity = 3 Hz/nb HLT rate for first 10h of long recent fill Average “core rate = 380 Hz in range shown ( Hz/nb) = 340Hz from Hz/nb, when fill is usually dumped by operator HLT Rates Rate limit is set by offline resources, to Hz “core” physics on average. Goal: keep the average over the fill – If larger rates at the end → lower rates at start, with reduced physics acceptance – Physics like to have a constant set of thresholds throughout the data 20

HLT Operations Rate Monitoring: – Tools able to spot problems immediately during data taking. – Offline analysis identifies triggers with unexpected rate growth > instantaneous lumi Predicted rate corrected for deadtime Measured rate as a function of LS Rate predictions taken from predictions (new menu/trigger) or past runs Lumi Section Rate (Hz) Data Certification: New, stream-lined certification process provides quicker feedback to operations. Improved HLT DQM utilities utilized by HLT secondary on-call 21