Performance analysis of the muon chambers of the ATLAS experiment at - - PowerPoint PPT Presentation

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Performance analysis of the muon chambers of the ATLAS experiment at - - PowerPoint PPT Presentation

Dec 20, 2022 353 likes •530 views

Performance analysis of the muon chambers of the ATLAS experiment at the LHC collider Marco Vanadia Sapienza, University of Rome The LHC Collider 1 pp collider High s goal 14 TeV (7+7) High Luminosity goal L=10 34 cm

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SLIDE 1

Performance analysis of the muon chambers of the ATLAS experiment at the LHC collider Marco Vanadia – Sapienza, University of Rome

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SLIDE 2

The LHC Collider

Marco Vanadia Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 1

➔ pp collider ➔ High √s ➔ goal 14 TeV (7+7) ➔ High Luminosity ➔ goal L=1034cm-2s-1 ➔ collisions every 25 ns,

requires complex trigger

➔ 6 experiments ➔ SM studies ➔ Search for Higgs Boson ➔ SUSY ➔ Exotic processes ➔ ...

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SLIDE 3

The ATLAS detector

Marco Vanadia 01/02/2010 2

➔ Inner Detector ➔ Pixel ➔ Strip ➔ Transition Radiation Tracker ➔ EM Calorimeter ➔ Ar+Pb accordion ➔ Hadronic Calorimeter ➔ Scintillator + WLS Barrel ➔ Ar+Pb accordion Endcap ➔ Muon Spectrometer ➔ Works in toroidal B field ➔ Air core magnets

Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider
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SLIDE 4

ATLAS muon spectrometer chambers

Marco Vanadia 3 MDT Tracking η RPC Trigger Tracking η Tracking Φ TGC Trigger Tracking η Tracking Φ CSC Tracking η Tracking Φ 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

. 5 – 2 m 1 – 6 m

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SLIDE 5

ATLAS MDT chambers

Marco Vanadia 4 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

Drift Tubes Radius = 15 mm Ar/CO2 - 93/7 - 3bar Anodic wire 3080V 1-2 Multilayers 3-4 Layers Readout: mezzanine cards (ASD, ADC, TDC)

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SLIDE 6

MDT Calibration model

Marco Vanadia 5 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

Track reconstruction:

Needs r(t) relation, t0 and tMAX per tube

Input:

➔ ADC Spectrum ➔ TDC Spectrum ➔ Second coordinate

(from TGC, RPC) Output:

➔ TDC spectrum constants ➔ Mean charge per channel q0 ➔ σ(r) ➔ r(t) relation

Requires high statistics: Dedicated data stream from trigger L2 with only muon fragments of the events

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SLIDE 7

MDT Data Quality at Calibration Centres

Marco Vanadia 6 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

Calibration Stream DCS Data Quality analysis Calibration analysis Calibration constants DQ Flags Local Calibration DB Tier2: Michigan, Munich, Rome Analysis on ADC, TDC, Occupancies, Efficiencies... DQ Flags Evaluation on muon spectrometer status and behaviour

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SLIDE 8

Search for dead MDT channels

Marco Vanadia 7 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

Search for dead (inefficient) channels using tubes hits

  • ccupancies

MONITORING FLAG RECONSTRUCTION Existing ATLAS software

➔ DEA ( T. Baroncelli)

→

➔ GnaMon ( P. Fleischmann)

→

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SLIDE 9

Search for dead MDT channels

Marco Vanadia 8 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

Statistical based search: Poisson distribution Mean = λ Stddev = √λ Calculate mean Measure λ Find tubes that are dead with a fixed CL

Main issues

➔ Noisy channels ➔ Many dead

channels

➔ Big fluctuactions

(cosmic only?) So we use MED & MAD MED(λ) ≈ λ + 1/3 MAD(λ) ≈ 0.68 λ1/2

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SLIDE 10

Search for dead MDT channels

Marco Vanadia 9 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

Strategy

➔ Check sequence in order to find what

is the problem (HV, Gas, Wire...)

➔ Check only if histogram has enough

statistics

➔ Produce a list of dead chambers, MLs,

layers, mezzanines, tubes

➔ Flag chamber status

Events Fraction of chambers

Conclusions

➔ Test on cosmic rays data: OK ➔ Improvement in efficiency and

reliability

➔ Low statistics requested for the

analysis

➔ Now fully inserted in Tier2 software

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SLIDE 11

Search for dead MDT channels

Marco Vanadia 10 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

Example of dead channels analysis output

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SLIDE 12

MDT Reconstruction performance analysis

Marco Vanadia 11 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

Hit Pattern Segments Tracks

Offline reconstruction: Segment residual analysis: Fit of distribution: Gaussian + tails (MS, uncorrelated hits) Double Gaussian NEW DQ Analysis:

➔ Segment residuals ➔ Track analysis ➔ Basic monitoring

histograms

➔ Residuals

analysis

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SLIDE 13

MDT Segment analysis

Marco Vanadia 12 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider
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SLIDE 14

MDT Segment analysis

Marco Vanadia 13

mm mm mm mm mm

BML1A05 BML1A09

Study of the distribution in function

  • f rdrift

Comparison with reference Systematic errors OR Kolmogorov test

p(Kolm)=3.4*10-11 K=0.021 p(Kolm)=0.065 K=0.080 mm mm

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider
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SLIDE 15

MDT Track analysis

Marco Vanadia 14 01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010 Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

Track analysis:

➔Inserted

in Tier2 software during my thesis

➔First of all, introduced basic

monitoring histograms

➔Replicated

residual analysis performed for segments

  • n

tracks

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SLIDE 16

Conclusions

Marco Vanadia 15 New DQ Analysis:

➔ Dead

channels analysis fully inserted and tested in Tier2 software

➔ Track analysis inserted in Tier2

software ( Daniele Capriotti) →

➔ Segment and track analysis code

inserted in the software, needs further investigation with collision data Detector status results:

➔ Cosmic data test with my software

showed a detector in health, ready for collision data taking

➔ Here I show results obtained on run

131576 26/9/2009, -1 milion events Technical work performed:

➔ Rewritten

many

  • f

Muon DQ software packages (Athena framework)

➔ Fixed bugs in DQ analysis of BEE,

BOG, BOF, BIR chambers

➔ DQ tree and histograms layout ➔ Software for automatic feedback as a

pdf presentation from DQ

Dead Chambers 0.0% Low Stat Chambers 2.3%

Objects Deads Total Deads ML 0.28% 0.28% Layer 0.10% 0.38% Mezzanines 0.07% 0.33% Tubes 0.12% 0.52%

Performance analysis of the muon chambers

  • f the ATLAS experiment at the LHC collider

01/02/2010