Background rejection
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Background rejection Physics ─ J/Ψ Z Vertex Trigger DAQ Compliance GTT Architecture The ZEUS Trigger STT Data MVD data preprocessing Functional building Pattern Recognition And Seed Production Track Fitting (Next step) MVD Data STT1 sector STT2 sector HERA HERA after upgrade: E p = 920 GeV E e = 27 GeV L Designed =1.5*10 31 cm -2 s -1 Three experiments are running: ZEUS, H1, HERMES ZEUS ZEUS ZEUS Components: 1. CTD 2. MVD 3. STT 4. F/R TD 5. F/B/R CAL 6. F/B/R Muon System 7. BAC 8. SRTD 9. VETO The ZEUS Global Tracking Trigger. The current design, implementation and performance of the ZEUS Global Tracking Trigger (GTT) Barrel Algorithm are described. The ZEUS GTT integrates track information from the ZEUS central tracking chamber (CTD) and micro vertex detector (MVD) to obtain a global picture of the track topology in the barrel region (─1.5 < η < 1.5) of the ZEUS detector at the Second Level Trigger (SLT) stage. Algorithm processing is performed on a farm of Linux PCs and, to avoid unacceptable deadtime in the ZEUS readout system, must be completed within the strict requirements of the ZEUS trigger system. The GTT plays a vital role in the selection of good physics events and the rejection of non─physics background within the very harsh trigger environment provided by the upgraded HERA collider. The GTT Barrel Algorithm greatly improves the vertex resolution and the track finding efficiency of the ZEUS SLT while the mean event processing latency and throughput are well within the trigger requirements. Recent running experience with HERA production luminosity is briefly discussed. The design, implementation and performance of the ZEUS Global Tracking Trigger (GTT) Barrel and Forward Algorithms are described. The ZEUS GTT Forward Algorithm integrates track information from the ZEUS Micro Vertex Detector (MVD) and forward Straw Tube Tracker (STT) to provide a picture of the event topology in the forward direction (1.5 < η < 3) of the ZEUS detector at the SLT stage. This region is particularly challenging because of inhomegenieties in the solenoid magnetic field, and the high occupancies in the forward direction from beam gas interactions and secondary scatters with the ZEUS beampipe. The Forward Algorithm is distinct from the GTT Barrel Algorithm, but runs in parallel on the GTT CPU farm. To avoid unacceptable deadtime in the ZEUS readout system, the Forward Algorithm processing must be compliant with the strict requirements of the ZEUS trigger system. The current status of the integration with the ZEUS DAQ and trigger systems is also reviewed. ► Pair parallel STT sectors with same azimuthal angle and straw position. ► Within straw size window construct max and min slope straight lines trough all fired straw. ► Build single projection envelope. ► Collect information from all single projection envelopes to a functional. ► Maximum of functional gives vertex prediction from STT ► Decode MVD data: cluster information. ► “2D” hit construction: forward wheel module geometry. ► Hough transformation of fired straws, using vertex prediction. ► Find spikes in 2D phase space. ► Segment finding in CTD. Using drift time data to break hit ambiguity, take segment candidates pointing to the beam line. ► Axial track finding in rφ plane. Seed segment from outer CTD superlayer. Matching internal segments with beam line constrain and fit track with fast circle fit in rφ plane. Match hits from MVD to the track and refit track, using MVD hits. ► Stereo track finding in sz plane ( s: path length in rφ plane). Using information from stereo layers to define z positions of hits. Match hits to found track in rφ plane and refit the track with matched hits. ► MVD hit matching. Match hits from MVD to the track and refit track, using MVD hits. Decode MVD data: cluster information. ► “2D” cluster location: wafer geometry and orientation. ► Usage of binning algorithm with overlapping bins. Three level ZEUS Trigger System : ► First Level Trigger (FLT) based on deadtime free hardware pipeline clocked every 96ns by bunch crossing signal. ► Second Level Trigger (SLT) based on a distributed transputer network. First intercomponent trigger evaluation. ► Third Level Trigger (TLT) based on a PC farm performing event reconstruction using ~offline code. GTT Hardware: ► MVD readout: 3 Motorola MVME2400 450MHz ► CTD, CTDZ and STT interface NIKHEF-2TP VME-Transputer Motorola MVME2400 450MHz ► PC farm: 12 DELL PowerEdge 4400 Dual 1GHz ► GTT/GSLT result interface: Motorola MVME2700 367MHz ► GSLT/EVB trigger result interface: DELL PowerEdge 4400 Dual 1GHz DELL PowerEdge 6450 Quad 700 MHz ► Network switches: 3 Intel Express 480T Fast/Giga 16 port MVME = Fast and PC = ► The STT was installed, in a forward endplug, during 2001 upgrade. ► STT (provides rφ information) ● 11000 straw tube connected ● 48 trapezoidal sectors ● three layer of straws per sector ● resolution ~ 200 μm ● 6º–25º polar coverage ● radii inner 120 mm, outer 800 mm, length 600 mm ● ideally 24 hits per track ► The silicon MVD was installed, inside CTD, during 2001 upgrade. ► Forward MVD (provides rφ information) ● 4 wheels of 28 silicon sensors ● 480 strips per sensor with ~30 μm resolution ● 7º–20º polar coverage ● radii inner 70 mm, outer 160 mm, length 410 mm ● ideally 8 hits per track ► Barrel MVD (provides rφ and rz information) ● 3 layers of silicon sensor ladders ● rφ and rz planes connect to the same readout channel ● 512 strips per sensor with ~30μm resolution ● radii inner 60mm, outer 160 mm, length 622 mm ● ideally 6 hits per track CTD is a large cylindrical drift chamber. ► CTD ● 4608 sense wires in 9 superlayers ● odd numbered layer provides rφ information ● even numbered layer provides rz information ● radii: inner 170 mm, outer 850 mm, length 2050 mm ● field 1.43 T, resolution ~ 200 μm ● ideally 72 hits per track e ± 27 Gev p 920 Gev Barrel MVD Forward MVD Why a Global Tracking Trigger ? ► New tracking detectors, STT and MVD, added. ► Pre upgrade: SLT tracking from CTD only. Vertex resolution ~ 9 cm. ► MVD cannot contribute to FLT; SLT possible. ► Combining MVD , CTD and STT information at hit level improves track finding, vertex resolution, etc. at SLT. MVD data preprocessing Track Finding Primary Vertex Finding Secondary Vertex Finding (future step) MVD Data CTD Data Ref.: S. Goers ” The Straw Tube Tracker of the ZEUS-Detector at HERA“ at IEEE IMTC 18- 24/05/2004 Ref.: E. N. Koffeman et al., NIM A473, 26 (2001) Ref.: B. Foster et al., NIM A338, 254 (1994) MC data: Latency ~ 4ms ► The Forward Algorithm in being development. First results are presented. ► Next steps: add FMVD information to the Algorithm and develop track fit. Real data: Latency ~ 1ms D* MC data: Vertex sigma ~8cm Real data: vertex Straw Tube Tracker Micro Vertex Detector Central Tracking Detector GTT components: CTD, MVD and STT Forward Algorithm Barrel Algorithm GTT Barrel and Forward Algorithms Event Event Builder Builder STT STT CTD CTD Third Level Third Level Trigger Trigger cpu cpu cpu cpu cpu cpu cpu cpu cpu cpu cpu cpu Offline Offline Storage Storage Global Global Second Second Level Level Trigger Trigger GSLT GSLT Accept/Reject Accept/Reject Global Global First First Level Level Trigger Trigger GFLT GFLT Accept/Reject Accept/Reject CTD CTD Front Front End End STT STT Front Front End End Other Other Components Components Other Other Components Components CTD CTD SLT SLT STT STT SLT SLT STT STT FLT FLT CTD CTD FLT FLT 8Hz 8Hz 80Hz 80Hz 500H 500H z 10 10 7 H z Event Buffers Event Buffers 5 5 s pipeline s pipeline 5 5 s s pipeline pipeline ~0.7 s ~10 ms CTD/CTDZ/STT interface MVD readout PC farm and switches GTT/GSLT interface EVB/GSLT result interface Results Summary ► GTT latency at SLT within CTD─SLT envelope. ► Mean GTT latency ~ 10 msec. ► GTT now in use with physics triggers (GTT performance superior to CTD─SLT). ► Barrel Algorithm stable development. ► Forward Algorithm first results seen. ► Next steps: include MVD into Barrel and Forward Algorithms . D.Gladkov on behalf of the ZEUS GTT group Reconstruction Steps: Reconstruction Steps: ► Next steps: add BMVD information to the Algorithm and develop track fit. ► No data size cuts are required to control latency ► Data size cut made, but needs tuning ► Data size cut made, algorithm under development ► GTT latency at SLT within CTD─SLT envelope. ► Mean GTT latency less than CTD─SLT. ► GTT Latency stable at 500Hz FLT rate. ► D* MC sample: sigma ~ 8 cm., latency ~ 1ms. ► First results from Forward Algorithm running online ► Next step: Forward GTT vertex efficiency study ► Single electron track reconstruction efficiency ~80% ► Next step: improve reconstruction for low p T tracks Efficiency => run by run J/Ψ → μ + + μ - ( e + + e - ) 3000 events [email protected] GTT ─ OFFLINE Real Data http://mvddaq.desy.de/~mvddaq/GTT/
description
The ZEUS Trigger. 10 7 Hz. STT Front End. CTD Front End. e ± 27 Gev. p 920 Gev. Other Components. STT FLT. CTD FLT. ~0.7 s. Barrel MVD. Forward MVD. 5 s pipeline. Global First Level Trigger. 5 s pipeline. GFLT Accept/Reject. 500Hz. Other Components. STT - PowerPoint PPT Presentation
Transcript of Background rejection
Background rejection
Physics ─ J/Ψ
Z Vertex Trigger
DAQ Compliance
GTT Architecture
The ZEUS Trigger
STT Data
MVD datapreprocessing
Functional building
Pattern Recognition
AndSeed Production
Track Fitting(Next step)
MVD Data
STT1 sector STT2 sector
HERAHERA after upgrade:Ep = 920 GeVEe = 27 GeV LDesigned=1.5*10 31 cm-2s-1
Three experiments are running:ZEUS, H1, HERMES
ZEUS
ZEUS
ZEUS Components:
1. CTD2. MVD3. STT4. F/R TD5. F/B/R CAL 6. F/B/R Muon System7. BAC8. SRTD9. VETO
The ZEUS Global Tracking Trigger.
The current design, implementation and performance of the ZEUS Global Tracking Trigger (GTT) Barrel Algorithm are described. The ZEUS GTT integrates track information from the ZEUS central tracking chamber (CTD) and micro vertex detector (MVD) to obtain a global picture of the track topology in the barrel region (─1.5 < η < 1.5) of the ZEUS detector at the Second Level Trigger (SLT) stage. Algorithm processing is performed on a farm of Linux PCs and, to avoid unacceptable deadtime in the ZEUS readout system, must be completed within the strict requirements of the ZEUS trigger system. The GTT plays a vital role in the selection of good physics events and the rejection of non─physics background within the very harsh trigger environment provided by the upgraded HERA collider. The GTT Barrel Algorithm greatly improves the vertex resolution and the track finding efficiency of the ZEUS SLT while the mean event processing latency and throughput are well within the trigger requirements. Recent running experience with HERA production luminosity is briefly discussed.
The design, implementation and performance of the ZEUS Global Tracking Trigger (GTT) Barrel and Forward Algorithms are described. The ZEUS GTT Forward Algorithm integrates track information from the ZEUS Micro Vertex Detector (MVD) and forward Straw Tube Tracker (STT) to provide a picture of the event topology in the forward direction (1.5 < η < 3) of the ZEUS detector at the SLT stage. This region is particularly challenging because of inhomegenieties in the solenoid magnetic field, and the high occupancies in the forward direction from beam gas interactions and secondary scatters with the ZEUS beampipe. The Forward Algorithm is distinct from the GTT Barrel Algorithm, but runs in parallel on the GTT CPU farm. To avoid unacceptable deadtime in the ZEUS readout system, the Forward Algorithm processing must be compliant with the strict requirements of the ZEUS trigger system. The current status of the integration with the ZEUS DAQ and trigger systems is also reviewed.
► Pair parallel STT sectors with same azimuthal angle and straw position. ► Within straw size window construct max and min slope straight lines trough all fired straw.► Build single projection envelope.► Collect information from all single projection envelopes to a functional.► Maximum of functional gives vertex prediction from STT
► Decode MVD data: cluster information.► “2D” hit construction: forward wheel module geometry.
► Hough transformation of fired straws, using vertex prediction.
► Find spikes in 2D phase space.
► Segment finding in CTD. Using drift time data to break hit ambiguity, take segment candidates pointing to the beam line. ► Axial track finding in rφ plane. Seed segment from outer CTD superlayer. Matching internal segments with beam line constrain and fit track with fast circle fit in rφ plane. Match hits from MVD to the track and refit track, using MVD hits.► Stereo track finding in sz plane ( s: path length in rφ plane). Using information from stereo layers to define z positions of hits. Match hits to found track in rφ plane and refit the track with matched hits. ► MVD hit matching. Match hits from MVD to the track and refit track, using MVD hits.
Decode MVD data: cluster information.► “2D” cluster location: wafer geometry and orientation.
► Usage of binning algorithm with overlapping bins.
Three level ZEUS Trigger System :
► First Level Trigger (FLT) based on deadtime free hardware pipeline clocked every 96ns by bunch crossing signal.
► Second Level Trigger (SLT) based on a distributed transputer network. First intercomponent trigger evaluation.
► Third Level Trigger (TLT) based on a PC farm performing event reconstruction using ~offline code.
GTT Hardware:
► MVD readout: 3 Motorola MVME2400 450MHz
► CTD, CTDZ and STT interface NIKHEF-2TP VME-Transputer Motorola MVME2400 450MHz
► PC farm: 12 DELL PowerEdge 4400 Dual 1GHz
► GTT/GSLT result interface: Motorola MVME2700 367MHz
► GSLT/EVB trigger result interface: DELL PowerEdge 4400 Dual 1GHz DELL PowerEdge 6450 Quad 700 MHz
► Network switches: 3 Intel Express 480T Fast/Giga 16 port MVME = Fast and PC = GigaEthernetPC and switch hardware provided by Intel Corp.
► The STT was installed, in a forward endplug, during 2001 upgrade.
► STT (provides rφ information) ● 11000 straw tube connected ● 48 trapezoidal sectors ● three layer of straws per sector ● resolution ~ 200 μm ● 6º–25º polar coverage ● radii inner 120 mm, outer 800 mm, length 600 mm ● ideally 24 hits per track
► The silicon MVD was installed, inside CTD, during 2001 upgrade.► Forward MVD (provides rφ information) ● 4 wheels of 28 silicon sensors ● 480 strips per sensor with ~30 μm resolution ● 7º–20º polar coverage ● radii inner 70 mm, outer 160 mm, length 410 mm ● ideally 8 hits per track ► Barrel MVD (provides rφ and rz information) ● 3 layers of silicon sensor ladders ● rφ and rz planes connect to the same readout channel ● 512 strips per sensor with ~30μm resolution ● radii inner 60mm, outer 160 mm, length 622 mm ● ideally 6 hits per track
CTD is a large cylindrical drift chamber.
► CTD ● 4608 sense wires in 9 superlayers ● odd numbered layer provides rφ information ● even numbered layer provides rz information ● radii: inner 170 mm, outer 850 mm, length 2050 mm ● field 1.43 T, resolution ~ 200 μm ● ideally 72 hits per track
e± 27 Gev p 920 Gev
Barrel MVDForward MVD
Why a Global Tracking Trigger ?
► New tracking detectors, STT and MVD, added.
► Pre upgrade: SLT tracking from CTD only. Vertex resolution ~ 9 cm.
► MVD cannot contribute to FLT; SLT possible.
► Combining MVD , CTD and STT information at hit level improves track finding, vertex resolution, etc. at SLT.
MVD datapreprocessing
Track Finding
Primary Vertex Finding
Secondary VertexFinding
(future step)
MVD Data
CTD Data
Ref.: S. Goers ” The Straw Tube Tracker of the ZEUS-Detector at HERA“ at IEEE IMTC 18-24/05/2004 Ref.: E. N. Koffeman et al., NIM A473, 26 (2001)Ref.: B. Foster et al., NIM A338, 254 (1994)
MC data: Latency ~ 4ms
► The Forward Algorithm in being development. First results are presented.► Next steps: add FMVD information to the Algorithm and develop track fit.
Real data: Latency ~ 1ms
D* MC data: Vertex sigma
~8cm
Real data:vertex
Straw Tube TrackerMicro Vertex DetectorCentral Tracking Detector
GTT components: CTD, MVD and STT
Forward AlgorithmBarrel Algorithm
GTT Barrel and Forward Algorithms
Event BuilderEvent Builder
STTSTT CTDCTD
Third Level TriggerThird Level Trigger
cpucpucpucpu cpucpu cpucpu cpucpu cpucpu
Offline Offline StorageStorage
Global Second Global Second Level TriggerLevel Trigger
GSLT Accept/RejectGSLT Accept/Reject
Global First Global First Level TriggerLevel Trigger
GFLT Accept/RejectGFLT Accept/Reject
CTDCTDFront EndFront End
STTSTTFront EndFront End
Other Other ComponentsComponents
Other Other ComponentsComponents
CTDCTDSLTSLT
STTSTTSLTSLT
STTSTTFLTFLT
CTDCTDFLTFLT
8Hz8Hz
80Hz80Hz
500Hz500Hz
101077 Hz Hz
Eve
nt
Bu
ffer
s
Eve
nt
Bu
ffer
s
55 s
pip
elin
es
pip
elin
e
55 s
pip
elin
es
pip
elin
e
~0.
7 s
~10
ms
CTD/CTDZ/STT interface MVD readout
PC farm and switches
GTT/GSLT interface EVB/GSLT result interface
Results
Summary► GTT latency at SLT within CTD─SLT envelope.
► Mean GTT latency ~ 10 msec.
► GTT now in use with physics triggers (GTT performance superior to CTD─SLT).
► Barrel Algorithm stable development.
► Forward Algorithm first results seen.
► Next steps: include MVD into Barrel and Forward Algorithms .
D.Gladkov on behalf of the ZEUS GTT group
Reconstruction Steps:Reconstruction Steps:
► Next steps: add BMVD information to the Algorithm and develop track fit.
► No data size cuts are required to control latency ► Data size cut made, but needs tuning ► Data size cut made, algorithm under development
► GTT latency at SLT within CTD─SLT envelope.
► Mean GTT latency less than CTD─SLT.
► GTT Latency stable at 500Hz FLT rate.
► D* MC sample: sigma ~ 8 cm., latency ~ 1ms.► First results from Forward Algorithm running online ► Next step: Forward GTT vertex efficiency study
► Single electron track reconstruction efficiency ~80% ► Next step: improve reconstruction for low pT tracks
Efficiency => run by run
J/Ψ → μ+ + μ- ( e+ + e-)3000 events
GTT ─ OFFLINEReal Data
http://mvddaq.desy.de/~mvddaq/GTT/
