Local Hadron Calibration in ATLAS P A O L A G I O V A N N I N I - - PowerPoint PPT Presentation

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Local Hadron Calibration in ATLAS P A O L A G I O V A N N I N I - - PowerPoint PPT Presentation

Local Hadron Calibration in ATLAS P A O L A G I O V A N N I N I on behalf of the ATLAS Liquid Argon Calorimeter Group CALOR10 Beijing, CHINA M A X - P L A N C K - I N S T I T U T E F O R P H Y S I C S M U N I C H Outline 2 the ATLAS


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P A O L A G I O V A N N I N I

M A X - P L A N C K - I N S T I T U T E F O R P H Y S I C S M U N I C H

Local Hadron Calibration in ATLAS

  • n behalf of the ATLAS Liquid Argon Calorimeter Group

CALOR10 Beijing, CHINA

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SLIDE 2

Outline

5/10/10

P.Giovanini, MPP Munich, CALOR10 Beijing

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 the ATLAS experiment and calorimeter system  Local Hadron Calibration schema  cluster level corrections  jet level corrections  performance studies using GEANT4 information  truth cluster energy definition  cluster correction investigation  900 GeV minimum bias data results  DATA/MC comparison of cluster energy  DATA/MC comparison of cluster corrections

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ATLAS Experiment

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P.Giovanini, MPP Munich, CALOR10 Beijing

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ATLAS Experiment

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P.Giovanini, MPP Munich, CALOR10 Beijing

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Some “history”:  December 2009 : collision at center of mass energy = 900 GeV and = 2.36 TeV  30th March 2010: first collision at = 7 TeV  planning to collect data at = 7 TeV until late 2011 ATLAS is one of the LHC experiments ATLAS is NOW taking data…!!

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SLIDE 5

1.375<|η|< 3.2 |η|< 1.03 1.03 <|η|< 1.7 1.5<|η|< 3.2 3.1<|η|< 4.9 |η|< 1.475

ATLAS Calorimeter System

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P.Giovanini, MPP Munich, CALOR10 Beijing

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the calorimeter is non-compensating: need of a dedicated calibration for hadronic signals

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Local Hadron Calibration

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P.Giovanini, MPP Munich, CALOR10 Beijing

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3D Topological Clustering Algorithm

groups cells in Clusters, suppressing noise

classifies Clusters in em or had applies had weights (W)

corrects non-compensation

applies Out Of Cluster (OOC) weights

recovers for noise suppression of good cells

applies Dead Material (DM) weights

recovers for energy lost upstream and leakage

runs jet finding on Calibrated Clusters

after all local corrections are applied

creation of calorimeter objects calibration of ALL calorimeter objects jet and missing transverse energy reconstruction

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Jet Energy Scale

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P.Giovanini, MPP Munich, CALOR10 Beijing

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(GeV)

truth

E

2

10

3

10

truth

/E

jet

E 0.75 0.8 0.85 0.9 0.95 1 1.05 ATLAS

< 0.4 ! " ! Kt6 LC/MC Jets 0.2 < < 2.2 ! " ! Kt6 LC/MC Jets 2 < < 3.9 ! " ! Kt6 LC/MC Jets 3.7 <

CERN-OPEN-2008-020

After the three cluster corrections jet energy linearity is not completely restored Jet Level Corrections developed as function of jet E, η and shape correct for particles that leave no signal in the calorimeter cannot be corrected at a “local level” restore Jet Energy Scale inside 3% with respect to the truth particle jet performance with respect to truth particle jet can’t describe each contribution for the three cluster corrections NEED OF A TRUTH CLUSTER ENERGY REFERENCE

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SLIDE 8

Truth Energy for Clusters

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P.Giovanini, MPP Munich, CALOR10 Beijing

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DEAD MATERIAL CALORIMETER

Reconstruct cluster in Monte Carlo simulation GEANT4 simulation information

  • n the truth energy deposit

in each Calorimeter Cell “Calibration Hit”

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SLIDE 9

Truth Energy for Clusters

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P.Giovanini, MPP Munich, CALOR10 Beijing

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DEAD MATERIAL CALORIMETER

Sum up the truth energy

  • f cells inside the cluster

Reconstruct cluster in Monte Carlo simulation truth reference for cluster Energy after hadronic weights GEANT4 simulation information

  • n the truth energy deposit

in each Calorimeter Cell “Calibration Hit”

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SLIDE 10

Truth Energy for Clusters

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P.Giovanini, MPP Munich, CALOR10 Beijing

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DEAD MATERIAL CALORIMETER

truth reference for cluster Energy after out of cluster weights Sum up the truth energy

  • f cells “near” to the cluster

truth reference for cluster Energy after hadronic weights Sum up the truth energy

  • f cells inside the cluster

Reconstruct cluster in Monte Carlo simulation GEANT4 simulation information

  • n the truth energy deposit

in each Calorimeter Cell “Calibration Hit”

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SLIDE 11

Truth Energy for Clusters

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P.Giovanini, MPP Munich, CALOR10 Beijing

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truth reference for cluster Energy after out of cluster weights

DEAD MATERIAL CALORIMETER

GEANT4 simulation information

  • n the truth energy deposit

in each Calorimeter Cell “Calibration Hit” Sum up the truth energy deposited in dead material “near” to the cluster truth reference for cluster Energy after dead material weights Sum up the truth energy

  • f cells “near” to the cluster

truth reference for cluster Energy after hadronic weights Sum up the truth energy

  • f cells inside the cluster

Reconstruct cluster in Monte Carlo simulation

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“Local Truth” for pions

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P.Giovanini, MPP Munich, CALOR10 Beijing

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Local Hadron Calibration is developed and validated on single pion simulation all the Clusters are created by the same particle the “local” truth energy of the pion is the sum of the “local” truth energy of all clusters DIAGNOSTIC STUDY OF EACH CORRECTION EFFECT:

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“Local Truth” for jets

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P.Giovanini, MPP Munich, CALOR10 Beijing

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jet == collection of clusters “local” jet truth = sum of cluster “local” truth In the jet case it’s the jet algorithm that chooses the clusters valid only before any jet-level correction is applied DIAGNOSTIC STUDY OF EACH CORRECTION EFFECT:

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“Local Truth” for jets

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P.Giovanini, MPP Munich, CALOR10 Beijing

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jet == collection of clusters “local” jet truth = sum of cluster “local” truth In the jet case it’s the jet algorithm that chooses the clusters valid only before any jet-level correction is applied lack of linearity at low JET energies:  due to inclusion into truth definition

  • f cell energy from lost particles

 developed a particle-cell assignment to make further quantitative studies DIAGNOSTIC STUDY OF EACH CORRECTION EFFECT:

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Local Calibration with data

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P.Giovanini, MPP Munich, CALOR10 Beijing

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DATA: = 900 GeV collision data collected in December 2009 Event Selection:  level 1 minimum bias trigger scintillators (MBTS)  calorimeter and MBTS timing cuts (rejection of beam-halo events)  Inner Detector, Calorimeter and Solenoid fully operational  330810 events are selected Monte Carlo : double-diffractive, single-diffractive and non-diffractive processes generated with PYTHIA 6.4.21 Study based on Cluster properties:  high statistics in minimum bias events  calibrated Clusters are input to jets

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900 GeV data results

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P.Giovanini, MPP Munich, CALOR10 Beijing

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mean energy of clusters versus η the overall agreement between DATA and MC is very good : barrel region ± 2% end-cap/forward region ±5% differences have to be understood with more statistics and MC tuning DATA/MC comparison are possible for the calibrated scale as well un-calibrated scale

ATLAS-CONF-2010-016

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900 GeV data results

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P.Giovanini, MPP Munich, CALOR10 Beijing

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for clusters ET> 0.5 GeV ratio between calibrated energy and un-calibrated energy:  reduces dependence to energy difference in DATA and MC  allows first investigation of cluster properties on which local calibration weights are based for the hadronic weights the agreement is very good ± 4 %

ATLAS-CONF-2010-016

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900 GeV data results

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hadronic and out of cluster corrections Data/MC ± 4 % hadronic and out of cluster and dead material: Data/MC ± 5 %

ATLAS-CONF-2010-016

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Conclusions

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Local Hadron Calibration is a complete and modular approach to jet calibration

  • a diagnostic method to evaluate the performance of each cluster correction

at a jet level has been developed using GEANT 4 truth information

  • further improvements are expected connecting GEANT 4 information

to the primary particles of the simulation

  • preliminary comparison of cluster energies in data and Monte Carlo shows

very good agreement for the calibration weights, inside ± 5%

  • first in-situ comparisons of Jet Energy Scale between data and Monte Carlo

need more jet statistics and are foreseen for 7 TeV runs

THANKS

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Back-up slides

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Jet Calibration

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detector response (e/π) electronic and detector noise dead material and leakage jet algorithm lost soft particles underlying event parton level corrections Local Calibration Corrections LC Jet Level Corrections to be addressed separately in every physics analysis

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“Local Truth” for jets

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P.Giovanini, MPP Munich, CALOR10 Beijing

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two sets of corrections are tested: different normalization factors in the tables for weight calculation

  • one cluster == 1 entry
  • one event == 1 entry

“Working Example” main difference in linearity is coming from the OOC corrections

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SLIDE 23

Local Truth Versus Particle truth

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P.Giovanini, MPP Munich, CALOR10 Beijing

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