TrackinginLHCb's2020HLT · VertexLocator(VELO)...

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Tracking in LHCb's 2020 HLT Connecting the Dots 2015 Tim Head, on behalf of LHCb École Polytechnique Fédérale de Lausanne 9 February 2015

Transcript of TrackinginLHCb's2020HLT · VertexLocator(VELO)...

Page 1: TrackinginLHCb's2020HLT · VertexLocator(VELO) •Hybridpixeldetectors,twomoveablehalves,activeedgeat5:1mmfrombeam •Basicbuildingblocksare14 14mm2pixelchips,threechipsinarowsharesilicon

Tracking in LHCb's 2020 HLTConnecting the Dots 2015

Tim Head, on behalf of LHCb

École Polytechnique Fédérale de Lausanne

9 February 2015

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The LHCb Detector

250mrad

100mrad

• LHCb is a single-arm (2 < η < 5) spectrometer at the LHC

I Precision beauty and charm physics: CP violation, rare decays, heavy flavourproduction

• σbb and σcc are extremely large at the LHC

I 30 kHz bb̄ and 600 kHz cc̄ in LHCb acceptance!

Phys.Lett.B694(2010)209-216

Eur.Phys.J.C71

(2011)1645

Tim Head (EPFL) 9 February 2015 2

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Heavy Flavour Signatures

Beauty hadrons

• B+ mass 5.28GeV, daughter pTO (1 GeV)

• lifetime ≈ 1.6ps ⇒ flight distance

≈ 1 cm

• common signature: detached µµ

Charmed hadrons

• D0 mass 1.86GeV, sizeable daughter pT

• lifetime ≈ 0.4ps ⇒ flight distance

≈ 4mm

• can be produced in B decays

Tim Head (EPFL) 9 February 2015 3

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Actual Signatures

SV

h

h

IP

Topo N-body

Inclusive dimuon

SVSV

p p

p pIP

IPp p

PV

hh

D∗ → πD(→hh)

p pπ±

Inclusive φµ+

µ−

B → hh

p p

h

h

K−K+

• Combining inclusive and

exclusive selections

• Main trigger is a Bonsai BDT

• What you really need is offline

like event reconstruction!

• Extremely powerful and

flexible software environment

Tim Head (EPFL) 9 February 2015 4

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LHCb at 40MHz

• In Run 2 LHCb will collect ≈ 8 fb−1 ⇒increase instantaneous luminosity

• At increased luminosity signals less well

separated in L0 ⇒ we need to read out

every event!

• Upgrade readout to 40MHz, full detector

readout of all visible pp interactions

• Replace hardware L0 by software Low Level

Trigger (LLT)

I Acts as temporary ``handbrake'' duringcommissioning, 1− 40MHz scaleableoutput rate

Tim Head (EPFL) 9 February 2015 5

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The Game has ChangedIn the upgrade area there are no ``boring'' events, it is about classifying signal events!

80GB/s of reconstructible D hadrons, 27 GB/s of reconstructible B hadrons. Compare to

10GB/s allowed to tape

Details: LHCb-PUB-2014-027

Tim Head (EPFL) 9 February 2015 6

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The Game has ChangedIn the upgrade area there are no ``boring'' events, it is about classifying signal events!

80GB/s of reconstructible D hadrons, 27 GB/s of reconstructible B hadrons. Compare to

10GB/s allowed to tape

Details: LHCb-PUB-2014-027

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Triggersin the future

Triggerstoday

Gligorov 2014Tim Head (EPFL) 9 February 2015 6

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Real Time Analysis

Tim Head (EPFL) 9 February 2015 7

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The LHCb Experiment in 2018

250mrad

100mrad

UT

SciFi

CER

N-L

HC

C-2

013-

021

/LH

CB-

TDR

-013

05/1

2/20

13

CER

N-L

HC

C-2

013-

022

/LH

CB-

TDR

-014

05/1

2/20

13

TDRUPGRADE

CERN/LHCC 2013-022

LHCb TDR 14

28 November 2013

LHCbLHCbParticle IdentificationParticle Identification

Technical Design Report

TDRUPGRADE

CERN/LHCC 2014-001

LHCb TDR 15

21 February 2014

LHCbTracker

Technical Design Report

Upstream Tracker

SciFi Tracker

LHCB-TDR-013

LHCB-TDR-014

LHCB-TDR-015

Tim Head (EPFL) 9 February 2015 8

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The LHCb Experiment in 2018

250mrad

100mrad

UT

SciFi

CER

N-L

HC

C-2

013-

021

/LH

CB-

TDR

-013

05/1

2/20

13

CER

N-L

HC

C-2

013-

022

/LH

CB-

TDR

-014

05/1

2/20

13

TDRUPGRADE

CERN/LHCC 2013-022

LHCb TDR 14

28 November 2013

LHCbLHCbParticle IdentificationParticle Identification

Technical Design Report

TDRUPGRADE

CERN/LHCC 2014-001

LHCb TDR 15

21 February 2014

LHCbTracker

Technical Design Report

Upstream Tracker

SciFi Tracker

CER

N-L

HC

C-2

014-

016

/LH

CB-

TD

R-0

1622

/05/

2014

TDRUPGRADE

CERN/LHCC 2014-016

LHCb TDR 16

21 May 2014

LHCbTrigger and Online

Technical Design Report

LHCB-TDR-013

LHCB-TDR-014

LHCB-TDR-015

LHCB-TDR-016

Tim Head (EPFL) 9 February 2015 8

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Vertex Locator (VELO)

• Hybrid pixel detectors, two moveable halves, active edge at 5.1mm from beam

• Basic building blocks are 14× 14mm2 pixel chips, three chips in a row share silicon

sensor

• Micro-channel CO2 cooling

UpgradeCurrent

Tim Head (EPFL) 9 February 2015 9

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Upstream Tracker

• Single-sided silicon strip detector

• Four layers (x, u, v, x) (5° stereo angles)

• Finer segmentation around beam-pipe

• 250µm thin sensors

• New read-out chip (SALT)

• Bi-phase CO2 cooling

Tim Head (EPFL) 9 February 2015 10

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Scintillating Fibre Tracker

• Scintillating fibres

I 250µm diameter, 2.5m long

• Three stations with four (x, u, v, x) layers each

• Read out by Silicon Photomultipliers

I inside light-tight read-out boxI cooled to −40 °C

• New ASIC for read-out (PACIFIC)

250µm

Tim Head (EPFL) 9 February 2015 11

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Tracking at 30MHz

VELO

Upstream Tracker

SciFi

Tim Head (EPFL) 9 February 2015 12

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Tracking at 30MHz

• Reconstruct all tracks

• Build doublets, extrapolate

to next module

• Extremely efficient and ghost

free

Velo

Tim Head (EPFL) 9 February 2015 12

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Tracking at 30MHz

from E. Bowen

Tim Head (EPFL) 9 February 2015 12

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Tracking at 30MHz

• Extrapolate tracks with

pT > 200MeV

• Measure track's curvature

• σp/p ≈ 15%

VeloUT

Tim Head (EPFL) 9 February 2015 12

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Tracking at 30MHz

Tim Head (EPFL) 9 February 2015 12

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Tracking at 30MHz

• Extrapolate tracks with

pT > 500MeV

• Use UT charge estimate to

cut search windows in half

• σp/p ≈ 0.5%

LongLong

Tim Head (EPFL) 9 February 2015 12

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Full Track Reconstruction on all Events

Velo tracking

Offline Tracking

Forward trackingpT > 70 MeV, δp/p ~ 0.5%

PV finding

Velo tracking

Online Tracking

Forward trackingpT > 500 MeV, δp/p ~ 0.5%

PV finding

Simplified Kalman fit

Particle Identification

Velo-UT trackingpT > 200 MeV, δp/p ~ 15%

Rate reducing cutsOutput < 1 MHz

Muon Identification

Full Kalman fit

Particle Identification

• Maximum flexibility and

robustness

• Details: LHCb-PUB-2014-028

• LHCb will be the first hadron

collider experiment to operate a

software only trigger at full event

rate!

Offline-quality tracking at 30MHz in software is possible!

Tim Head (EPFL) 9 February 2015 13

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Efficiency

• Compared to ``offline'' the HLT tracking

sequence is 98.7% efficient

• In addition tracks with pT < 0.5GeV/care available with lower momentum

resolution

Efficiency [%]

HLT relative

long, from B 72.8 80.3

long, pT > 0.5GeV/c 87.4 97.2

long, from B, pT > 0.5GeV/c 92.5 98.7

]-1c[GeVTp

0 5 10

Eff

icie

ncy

0.80

0.85

0.90

0.95

1.00

1.05LHCb simulation

Trigger

Offline

Ratio

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Timing

• At nominal luminosity reconstruction

uses less than half the budget (13ms)

• CPU time does not ``explode'' at higher

luminosity

Algorithm CPU time [ms]

VELO 2.0

VELO-UT 1.3

Forward 1.9

PV finding 0.38

Total 5.4 3.8 7.6 11.4ν

0

1

2

3

4

5

6

7

CPU

tim

e [m

s]

LHCb simulation

VELO trackingVELO-UT trackingForward trackingPV finding

(ν =average number of interactions)

Tim Head (EPFL) 9 February 2015 15

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Conclusion

• The LHCb trigger has been very successful in 2011 and 2012

I using BDTs as the main trigger

• 2020 will see a truly upgraded trigger

• Tracking at 30MHz in software is possible

• Allows very diverse, efficient triggers that minimally bias the physics observables

I lifetime unbiased hadronic triggers

• Run 2 will be our ``test beam'', testing many techniques which will be needed for

2020:

I run-by-run calibration and alignmentI Turbo stream: analysis without offline reconstruction

Tim Head (EPFL) 9 February 2015 16

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One more thing ...

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HLT1 Tracking Time

• Making the whole tracking sequence

faster is hard work

• Some competition is good as nobody

wants to be the slowest

• A dedicated group of people, working

together is needed

Jul 20

13

Aug 20

13

Sep 20

13

Oct 20

13

Nov 20

13

Dec 20

13

Jan 20

14

Feb 20

14

Mar 20

14

Apr 20

140

2

4

6

8

10

12

14

Trig

ger t

rack

ing

time

[ms]

LHCb simulation

Spillover was turned on

Total with GEC

VeloVeloUTForward

Tim Head (EPFL) 9 February 2015 18

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SciFi Track Reconstruction

• Forward track reconstruction algorithm efficiency and ghostrate

• Taken from LHCB-TDR-015

Tim Head (EPFL) 9 February 2015 19