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Jet Reconstruction in Heavy Ion Collisions Alán Dávila for the STAR Collaboration WWND February, 8, 2011

Jet Reconstruction in Heavy Ion Collisions

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Jet Reconstruction in Heavy Ion Collisions. Alán Dávila for the STAR Collaboration WWND February, 8, 2011. Outline. Heavy ion collisions’ prior probes Jet finding algorithms used at STAR STAR preliminary jet measurements in central Au+Au collisions Recent background fluctuations studies - PowerPoint PPT Presentation

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Page 1: Jet Reconstruction in Heavy Ion Collisions

Jet Reconstruction in Heavy Ion Collisions

Alán Dávila for the STAR Collaboration

WWND February, 8, 2011

Page 2: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Outline

• Heavy ion collisions’ prior probes• Jet finding algorithms used at STAR• STAR preliminary jet measurements in central

Au+Au collisions• Recent background fluctuations studies • Conclusions

Page 3: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

CorrelationsPer final state charged hadron 2D particle correlations

The width increases with centrality

Same side model includes a 2D Gaussian

The decreases…

Un-triggered correlations see broadening but only in

direction.

Glauber Linear Superposition

Peak

Am

plitu

de

Peak η Width Peak φ Width

part

bin

NNv 2 3

Page 4: Jet Reconstruction in Heavy Ion Collisions

High Pt probesParton kinematics are not directly measureable

Use high PT particles as an approximation of the parton kinematics

A. Dávila, U of Texas 4

Page 5: Jet Reconstruction in Heavy Ion Collisions

High Pt probesParton kinematics are not directly measureable

Use high PT particles as an approximation of the parton kinematics

GeVsNN 200Au+Au

pp

assocTp0.15 GeV/c < < 4GeV/c

A. Dávila, U of Texas

Recoil low PT multiplicity and PT sum enhancement

J. Adams et al. (STAR), Phys. Rev. Lett. 95, 152301 (2005) 4

Page 6: Jet Reconstruction in Heavy Ion Collisions

High Pt probes

Recoil high PT yield suppression

Possible explanation: softening of jet fragments

Parton kinematics are not directly measureable

Use high PT particles as an approximation of the parton kinematics

GeVsNN 200

dAu

Au+Au

pp

assocTp0.15 GeV/c < < 4GeV/c

A. Dávila, U of Texas

Recoil low PT multiplicity and PT sum enhancement

J. Adams et al. (STAR), Phys. Rev. Lett. 97, 162301 (2006)

J. Adams et al. (STAR), Phys. Rev. Lett. 95, 152301 (2005) 4

Page 7: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Alternative probes of Heavy Ion collisions

A) Triggering in high PT hadrons produces a surface bias (hadrons coming from partons that interact least with the medium)

A

Hadron

Quark

Gluon

Gamma

Jet

5

Page 8: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Alternative probes of Heavy Ion collisions

A) Triggering in high PT hadrons produces a surface bias (hadrons coming from partons that interact least with the medium)B) Gamma- jets do not suffer such bias as the photon gets the original parton kinematics but they suffer of limited statistics.

A B

Hadron

Quark

Gluon

Gamma

Jet

5

Page 9: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Alternative probes of Heavy Ion collisions

A) Triggering in high PT hadrons produces a surface bias (hadrons coming from partons that interact least with the medium)B) Gamma- jets do not suffer such bias as the photon gets the original parton kinematics but they suffer of limited statistics.

C) A more generic way to probe the medium is to try to recover the original parton kinematics by full jet reconstruction.

A B C

Hadron

Quark

Gluon

Gamma

Jet

5

Page 10: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Jet Finding Algorithms

STAR: kt , anti-kt from FASTJET packagecollinear and infrared safe

NlnN time ( secs for ~ 1000 particles)

310

kt and anti-kt: sequential recombination algorithmsGive a jet area measure (important for Au+Au background estimations)

JHEP 0804 (2008) 063 6

Page 11: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Jet reconstruction at STAR

Charged particles from the TPC (protons, pions, kaons, e, …)Neutral particles from EMCAL ( , gamma)No , neutrons, detected (<10% effect)

Triggers used

cGeVET 6.7

cGeVET 4.5

,11

,05.005.0

Jet Patch (P+P)

High Tower

We apply a PT cut of 0.2 GeV/cIn track and towers

Towers’ matched tracks are subtracted to avoid double counting

p

0LK

p

K: (-1.2,1.2)

TPC

BEMC

0LK

Note: not at scale

2:

0

7

Page 12: Jet Reconstruction in Heavy Ion Collisions

Jets in pp collisions

Jets produced at STAR are well described by pQCD over several orders of magnitude.

kt and anti-kt algorithms consistent with published STAR results with midpoint cone algorithm.

A. Dávila, U of TexasB. I. Abelev et al. (STAR Collaboration), Phys. Rev .Lett. 97, 252001 (2006) 8

Page 13: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Going to Heavy Ions200 GeV central Au+Au collisions: Underlying event interferes with the jet reconstruction. Per event background estimations and jet areas (FASTJET)are used to subtract the background at STAR.

Event background:

i

iT

APmedian

Active area : number of clustered soft particles within a jet over density of particles

Background in HI collision is not uniform.

Tclustercluster

TmeasT pApp

Tp

IrresolutionNon-gaussian

9

Page 14: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Going to Heavy Ions200 GeV central Au+Au collisions: Underlying event interferes with the jet reconstruction. Per event background estimations and jet areas (FASTJET)are used to subtract the background at STAR.

Event background:

i

iT

APmedian

Active area : number of clustered soft particles within a jet over density of particles

Background in HI collision is not uniform.

Tclustercluster

TmeasT pApp

cGeVBckgR

/454.0

Tp

First look: Background fluctuations assuming Gaussian distribution (Incorrect assumption)

IrresolutionNon-gaussian

9

Page 15: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Jet Spectrum in AuAu collisions at RHIC

Tclustercluster

TmeasT pApp

)( TjetT

MeasT

pfdpdN

dpdN

background corrected jet PT:

The measured yield is convoluted with the irresolution function f:

To obtain the real distribution requires deconvolution (unfolding).

Event region to region fluctuations

unfolding

Pythia

Pythia smeared

Pythia unfolded

simulation

10

Page 16: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Jet Spectrum in AuAu collisions at RHICFull reconstructed jets yield at central AuAu collisions at STAR

kt and anti-kt give similar results. Smaller resolution -> smaller yield

Increased kinematics wrt single/di-hadron measurements!

False jet yield estimated with Au+Au events randomized in azimuth (no jet-leading particles present)Background fluctuations approximated by Gaussian

New progress on these points in succeeding slides

11

Page 17: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

RAA

•RAA value is consistent with one for R = 0.4, but smaller for R = 0.2.• The jet spectrum is not completely recovered.

For Nbin scaling, RAA = 1.

Note: RAA -> 0.2 in the limit R -> 0.0 (single hadrons)

12

Page 18: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

R(0.2)/R(0.4)

Ratio of R = 0.4/R = 0.2 shows an increased suppression in AuAu compared to pp. This is suggestive of a broadening of jets in AuAu collisions.

Increasing jet PT increases the ratio. Jets get more collimated in pp

p+p √s=200 GeV

G. Soyez, Private Communication

13

Page 19: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Jet-hadron correlations

HT trigger jet axis•Anti-kt•R = 0.4•PT Jet trigger> 20 GeV/c•PT cut > 2 GeV/c

AuAu Jet-hadron correlations show broadening on the away side.

For more on Jet-hadron correlations see A. Ohlson’s talk next

14

Page 20: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

New progress on background FluctuationsToy modelThermal distribution (no signal)Random in ,The statistical distributions describe fluctuations as expected

Tp Clustered in a cone of R = 0.2

15

Page 21: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

New progress on background FluctuationsGeneralized probe embeddingEmbed a known probe in a AuAu central eventReconstruct the jet that contains the probe in itCalculate irresolution:

fitted with a gamma function

High Pt tails

embedT

recorecoTT pApp

Tp

Toy modelThermal distribution (no signal)Random in ,The statistical distributions describe fluctuations as expected

Tp Clustered in a cone of R = 0.2

15

Page 22: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Background Fluctuations

does vary with jet area. Tp is independent of fragmentation pattern

Tp

•Better understanding of background fluctuations• Irresolution independent on fragmentation pattern

16

Page 23: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Tjet

T

Tjet

p

PTjet

binjets dpdN

drdp

pdp

Ndrd Tjet

Tjet

11max

min

Differential jet shape: Average rate of change of PT at distance r from the jet axis

ψdrΨd

Jet Shapes background

r

Jet Axis

R

)()(

RrPrrPΨ

T

T

Integrated Jet Shape

Differential Jet Shape Single jet…

Average over many jets …

17

Page 24: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Tjet

T

Tjet

p

PTjet

binjets dpdN

drdp

pdp

Ndrd Tjet

Tjet

11max

min

Particles from the HI collision will contribute to PT(r), they will also move the jet axis: This effectively changes PT(r) too

Blue jet particlesRed HI backgroundNot distinguishable in a jet by jet basis

Differential jet shape: Average rate of change of PT at distance r from the jet axis

ψdrΨd

Jet Shapes background

r

Jet Axis

R

)()(

RrPrrPΨ

T

T

Integrated Jet Shape

Differential Jet Shape Single jet…

Average over many jets …

17

Page 25: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Tjet

T

Tjet

p

PTjet

binjets dpdN

drdp

pdp

Ndrd Tjet

Tjet

11max

min

Aprdrdp

drdp

P Tjet

TT

Tjet

2/1 clustersignal

signal

Particles from the HI collision will contribute to PT(r), they will also move the jet axis: This effectively changes PT(r) too

Blue jet particlesRed HI backgroundNot distinguishable in a jet by jet basis

Differential jet shape: Average rate of change of PT at distance r from the jet axis

Background subtraction

ψdrΨd

Jet Shapes background

r

Jet Axis

R

)()(

RrPrrPΨ

T

T

Integrated Jet Shape

Differential Jet Shape Single jet…

Average over many jets …

Ring PT

Jet PT17

Page 26: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Charged Particles Only !Use generalized probe embedding to characterize the fluctuations

signalBackgroundsignal

Embed Single 30 GeV/c pion in AuAu eventthis represents our truth signal

Run JFA and extract jet with embedded pionthis is our measurement

Subtract backgroundJet area in denominatorRing area in numerator

Get the fluctuations in jet shape measurement

Jet Shapes background05.022 RAR jet

Ap

rdrdpclusterT

clusterT

2/

0signal

18

Page 27: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Charged Particles Only !Use generalized probe embedding to characterize the fluctuations Single 30 GeV/c pions embedded

Relative distance from jet axis

Jet Shapes background

Fluctuations increase with increased ring area

area 0.08 0.15 0.23 0.30 0.38

05.022 RAR jet = 0.1r

19

Page 28: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Charged Particles Only !Use generalized probe embedding to characterize the fluctuations

Single 30 GeV/c pions embedded

Relative distance from jet axis

Jet Shapes background

Fluctuations increase with increased ring area

area 0.08 0.15 0.23 0.30 0.38

05.022 RAR jet

r/R = 0.349 projection

Truth signal

STAR Preliminary

= 0.1r

19

Page 29: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Jet Shapes backgroundFluctuations of the jet shape measurement close to the axis (small area) and close to the edge (bigger area)

There is a clear dependence of the shape of the fluctuations on r. This is consistent with previous studies of fluctuations dependencies on jet area

STAR PreliminarySTAR Preliminary

20

Page 30: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Conclusions Preliminary jet measurements at STAR indicate jet profile broadening in

10% most central Au+Au collisions. The event region to region background fluctuations in central Au+Au

events calculated by the generalized probe embedding are mostly independent of jet fragmentation pattern (single particle, quenched, unquenched).

On the verge of applying all this knowledge in intra jet measurements (jet shapes, JT, intra jet momentum flow)

Jets are a calibrated probe that can be used to expand current studies of the medium created in heavy ion collisions at RHIC

GeVsNN 200

Page 31: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

BackupSTAR: kt , anti-kt from FASTJET package

collinear and infrared safe

NlnN time ( secs for ~ 1000 particles)

In an event define and compute distances between particles and the beam

ijdiBd

tiiB

jijiij

ijp

tjp

tiij

pd

yyR

RRppd

222

222 /),min(

Find minimum of the distances, if it is set as jet, otherwise merge i,j.Repeat

iBd

kt -> p = 1anti-kt -> p = -1

At STARE-Scheme

y

310

Page 32: Jet Reconstruction in Heavy Ion Collisions

A. Dávila, U of Texas

Di jet yields comparison

Di –jet: trigger jet + recoil jet

R = 0.2/R = 0.4 ratio shows higher suppression than in the pp system.

Deposition of Energy fires High Tower trigger

Recoil Jet

Trigger Jet Pt> 20 GeV/c

Di-jet rates Au+Au/ p+p

Measurements agree with the jet broadening scenario

PT cut of 0.2, 2.0 GeV/c on tracks/towers for the recoil jets

PT cut of 2.0 GeV/c for the trigger jetsBkg estimated from spectrum at azimuth wrt dijet axis

2