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Trigger and readout for the LHC experiments for Run 3 and beyond LHCb

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LHCb

Trigger and readout for the LHC experiments for Run 3 and beyond

Carla Marin

[email protected]

Valencia, 20.03.23

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Outline

● The LHCb experiment and the Run 3 upgrade

● The LHCb trigger system

● First data and performance

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The LHCb experiment at the LHC

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LHCb: Large Hadron Collider Beauty experiment

Distribution of produced b-quarks

Precision measurements of heavy flavor hadrons

Core physics: CPV and rare decays

Much more: spectroscopy, QCD, heavy ions...

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Experimental setup

Typical decay signature

JINST 3 (2008) S08005

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Tracking system

Reconstruct trajectories of charged particles

Identify pp and b-decay vertex Measure particle momentum from bending in magnetic field

Run 2 performance:

Δp / p = 0.5 - 1.0%

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Particle identification system

● Cherenkov detectors: identify π±, K±, p

● Calorimeters: identify γ, π0, e±

● Muon chambers: identify μ±

Cherenkov detectors

ΔE/EECAL = 1% + 10% / √ (E[GeV])

Electron ID ~90% for ~5%

Muon ID ~ 97% for 1-3%

π→μ mis-id probability

Kaon ID ~ 95 % for ~ 5 % π→K mis-id probability

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LHCb dataset in Run 1 and 2

Total recorded luminosity ~9 fb-1:

Run 1 (2010-2012) ~ 3 fb-1

All b-hadron species! [PRD100(2019)031102]

Bs:

Λb:

and more: Ξb, Ωb, Bc, B*

x2 b-quark production from 7 to 13 TeV pp collisions

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LHCb Upgrade: a quasi-new detector

Motivation: run at x5 instantaneous luminosity: Linst = 0.4 → 2·1033

● read full detector at 30 MHz → 4 TB/s

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LHCb Upgrade

New VeloPix detector

New tracker detectors

New RICH detectors

Removal of SPD/PS, new electronics

Removal of M1, new electronics

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The LHCb trigger system

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Run 3: physics & constraints

Heavy flavour physics at LHC:

Linst = 2·1033, x5 that of Run 2

huge b and c productions

Trigger goals:

Select interesting events: O(105-6 Hz)

Reduce bandwidth: 4 TB/s → 10 GB/s

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The Run 2 trigger model limitation

Classical model: hardware + software trigger

● Limitation: HW trigger rate limit (1 MHz) saturates fully hadronic & e+e-/γ modes

● Solution: read full detector at 30 MHz and apply all selections in software

J. Phys.: Conf. Ser. 878 012012

Run 2 , Φ → μ +μ-

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Run 3: a trigger-less readout

LHCb-FIGURE-2020-016

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The challenge

A. Cerri at LHCP'22

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The turbo model

BW(kB/s) = rate(Hz) x event size(kB):

4 TB/s input 10 GB/s offline limit

huge signal rate → reduce evt size

Flexible persistence model:

Turbo (35 kB): signal only

Full (70 kB): all reco’ed objects

Selective: signal + selection of reconstructed objects and raw banks

JINST 14 P04006

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LHCb Run 3 trigger overview

LHCb-FIGURE-2020-016

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DAQ architecture

Hybrid architecture:

● HLT1: GPUs installed in Event Builder servers

● HLT2: CPUs in Event Filter Farm

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HLT1

Core based on tracking:

VELO: tracking, vertex reconstruction

UT: tracking, p estimate, fake rejection

SciFi: track reconstruction, momentum measurement

PID from muon stations & Calo (extra) Highly parallel tasks → exploit GPUs:

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HLT1 performance: tracking

Same performance at x5 luminosity: high efficiency, good δp, low fake rate

LHCB-FIGURE-2020-014

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HLT2

Full reconstruction of tracks and neutrals, and PID with offline-quality

LHCB-FIGURE-2022-005

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HLT2 performance

Full reconstruction of tracks and neutrals, and PID with offline-quality

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Commissioning and first data

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F. Blanc @ICHEP22

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First Run 3 data

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First Run 3 data

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HLT1 commissioning

LHCb DAQ running in parallel to detector commissioning since July

Triggering on ECAL clusters @20 MHz!

~200 GPUs installed and HLT1 running in global partition

Trackers included from September

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HLT1 reconstruction and selections @20 MHz

HLT1 commissioning

C. Agapopoulou @152 LHCC

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Alignment

VELO & Scifi alignments determined with first data

LHCB-FIGURE-2022-016 LHCB-FIGURE-2022-018

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Calibration

ECAL calibration from π0 → γγ events

Calibration

LHCB-FIGURE-2022-019

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HLT2 commissioning

Data processed through HLT2, using results from Alignment & calibration

without (left) and with (right) PID selection

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Plans for Run 4 and beyond

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LHCb trigger in Run 4 and beyond

Run 4

Same integrated luminosity that Run 3 New prototype detectors

Same trigger strategy as in Run 3

possibility to renew GPUs

Run 5

Full upgrade for LHCb, Linst x 10 Exploring scalability of the system New alternatives under study:

Full HLT1 & HLT2 in GPUs

FPGA reconstruction

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Conclusions

Wide range of physics at LHCb → flexible trigger Unique trigger-less readout and Turbo model allow to cope with x5 lumi. Special gain for:

● hadronic final states

● electron final states

● long-lived particles

Strong progress with commissioning but it is a new

detector so it takes time!

Stayed tuned!

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Thanks for the attention

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BACK-UP

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GPU choice

C. Agapopoulou @ICHEP 22

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HLT1 performance: Velo

Same performance at x5 luminosity: high efficiency, good δp, low fake rate

LHCB-FIGURE-2020-014

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HLT1 performance

Same performance at x5 luminosity: high efficiency, good δp, low fake rate

LHCB-FIGURE-2020-014

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HLT1 without UT

Same signal efficiency but larger fake rate

LHCB-FIGURE-2022-007

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LHCb Upgrade

New VeloPix detector

3.5mm to beam (5mm Run1/2)

41M pixels of 55x55 μm

improved PV and IP resolutions

CERN-LHCC-2013-021

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LHCb Upgrade

Scintillating fibers 2.4m x 250μm

higher granularity for higher occupancy

New tracker detectors

CERN-LHCC-2014-001

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LHCb Upgrade

New RICH detectors CERN-LHCC-2013-022

Referencias

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