Jet Studies

Data sample: Part of statistics in LHC10h (Pb-Pb collisions at 2.76 TeV).

Jet reconstruction: anti-kT, R = 0.4, jet area > 0.6πR^2, jet pT > 10 GeV/c, pT of jet constitues > 0.15 GeV/c (only charged jets are considered).

Background estimation: kT, R = 0.4, median value is used.

1. The comparison between measured and corrected jet pT:

$ p_{T}^{corr} =p_{T}^{meas} - \rho A $

Jet_Pt_new.png

Not negligible background fluctuations up to very high pT (~100 GeV/c).


2. The mean value of jet ara for central, semi-central and peripheral collisions:

Jet_Area2_new.png

Mean value of jet area decrease from peripheral to central collisions, especially in low pT region.

This indicates that more background jets have been produced in central collisions.


3. The mean background density for different centralities:

MeanBkgDensity_new.png

As before, more background jets have been produced in central collisions.


4. The corrected jet pT distribiutions in different centralities:

Pt_Centrality_new.png

First look at the corrected jet pT distribiutions in different centralities.




V0s Studies

How to obtain V0s spectra:

1. Loop over all events

- selection of Kshort and Lambda events

- filling histograms with pT and Invatiant Mass distributions for selected V0 events

2. Fit

- fitting combination of gaussian and linear function to Invariant Mass distribution of Kshort and Lambda, in different pT bins

- obtain the mean value and sigma from fit

3. Counting the number of signal and background events in the defined windows:

$ -6 \sigma < M < 6 \sigma $ - signal

$-12 \sigma < M <-6\sigma $ or $6 \sigma < M <12\sigma $ - background

4. Backgorund Fit

- fitting only the backround in the range: $-12 \sigma < M <-6\sigma $ and $6 \sigma < M <12\sigma $

- interpolate the fitted backgound into the signal region: $ -6 \sigma < M < 6 \sigma $

5. Background substraction


Data sample: Full of statistics in LHC10h (Pb-Pb collisions at 2.76 TeV).

1. The invariant mass distribution for selected Kshort and Lambda events, for 0-10% centrality:

K_invM_0_10.png

L_invM_0_10.png

2. The pT distribiutions for selected Kshort and Lambda events in different centralities:

Kshort_Pt.png

Lambda_Pt.png

The supresion for central collisions is clearly visibe.

3. The mean values and sigmas obtained in the invariant mass fit for Kshort and Lambda events in different pT bins:

mean_sigma_K.png

mean_sigma_L.png

4. Signal to background ratio for selected Kshort and Lambda events in different centralities:

Kshort_SBratio.png

Lambda_SBratio.png




Jet cone & Random cone - comparison

The results of invariant mass fit for Kshorts in 0-10% and 10-20% centrality bin; comparison between results in jet cone (red) and random cone (blue).

K_jet_rand_cone_0_10.pngK_jet_rand_cone_10_20.png

The same results for Lambdas.

L_jet_rand_cone_0_10.pngL_jet_random_cone_10_20.png

One can observe that results are very similar for V0s inside jet cone and inside random cone. Conclusion: in futher studies we can use all events (inside jet and random cone) to invariant mass fit for V0s.

---



Correlations - first preliminary results -> bad Phi definition

//---------------this part have to be corrected------------------------------------------------------------------------------------------//

Jet - trigger particle

V0 - associated particle

1. V0s inside +/-6 sigma region in invariant mass peak

nowy.png

nowy_20_40.png

2. V0s outside invariant mass peak region, sideband

0_10_outside.png

20_40_outside.png

//-----------------------------------------------------------------------------------------------------------------------------------------------------//

ΔPhi after first backround substraction:

0-10% Centrality

diff_phi_0_10_new.png

20-40% centrality

diff_phi_20_40_new.png

ΔPhi-ΔEta distributions after firs background substraction

0-10% centrality

diff_phi_eta_0_10_new.png

20-40% centrality

diff_phi_eta_20_40_new.png






Correlations -new results (30.07.2013)

legend.png

ΔPhi distribution, events inside the invariant mass peak region (+/- 6σ)

Centrality 0-10%

phi_0_10_n.png

Centrality 20-40%

phi_20_40_n.png

ΔPhi distribution after sideband background substraction (normalized to the number of trigger particles)

Centrality 0-10%

diff_phi_0_10_n.png

Centrality 20-40%

diff_phi_20_40_n.png

ΔPhi-ΔEta distribution after sideband background substraction (normalized to the number of trigger particles)

Centrality 0-10%

diff_phi_eta_0_10_n.png

Centrality 20-40%

diff_phi_eta_20_40_n.png






Recoil events study (5.08.2013)

1. Finding V0 particle in given pT range - TRIGGER PARTICLE

2. Finding recoil jet (ΔΦ>150)

3. Finding V0 particle inside recoil jet cone - ASSOCIATED PARTICLE

Both, trigger and associated V0 are inside invariant mass peak (in +/- 3σ region)

legend_recoil.png

Corrected Jet pT distributions:

$ p_{T}^{corr} =p_{T}^{meas} - \rho A $

(All distributions are normalized to the number of trigger particles)

Centrality 0-10%



TRIGGER PARTICLE: Kshort

ASSOCIATED PARTICLE: Kshort

KK_0_10.png


TRIGGER PARTICLE: Kshort

ASSOCIATED PARTICLE: Lambda

KL_0_10.png



TRIGGER PARTICLE: Lambda

ASSOCIATED PARTICLE: Kshort

LK_0_10.png

LK_0_10.png


TRIGGER PARTICLE: Lambda

ASSOCIATED PARTICLE: Lambda

LL_0_10.png





Centrality 20-40%


TRIGGER PARTICLE: Kshort

ASSOCIATED PARTICLE: Kshort

KK_20_40.png


TRIGGER PARTICLE: Kshort

ASSOCIATED PARTICLE: Lambda

KL_20_40.png


TRIGGER PARTICLE: Lambda

ASSOCIATED PARTICLE: Kshort

LK_20_40.png



TRIGGER PARTICLE: Lambda

ASSOCIATED PARTICLE: Lambda

LL_20_40.png

All plots in pdf format (better quality) are available here:

KK_0_10.pdf

KK_20_40.pdf

KL_0_10.pdf

KL_20_40.pdf

LK_0_10.pdf

LK_20_40.pdf

LL_0_10.pdf

LL_20_40.pdf





HADRON-JET CORRELATIONS (15.08.2013)

Data sample: Part of statistics (~1/4) in LHC10h (Pb-Pb collisions at 2.76 TeV).

Jet reconstruction: anti-kT, R = 0.4, jet area > 0.6πR^2, jet pT > 10 GeV/c, pT of jet constitues > 0.15 GeV/c (only charged jets are considered).

Background estimation : kT, R = 0.4, median value is used.

Study distribution of Jet pT vs ΔΦ

$ p_{T}^{corr} =p_{T}^{meas} - \rho A $

ΔΦ = ΔΦjet - ΔΦtrigg(V0)


Procedure desciption:

For different centrality bins [nc]:

0 0-10%
1 10-20%
2 20-40%

For every event:

1. We pick V0 in given pT range [nV] - TRIGGER PARTICLE

+ checking if V0 is inside mass peak region (+/- 3 sigma)
1 1 GeV/c < pT trig < 2 GeV/c
2 2 GeV/c < pT trig < 3 GeV/c
3 3 GeV/c < pT trig < 5 GeV/c
4 5 GeV/c < pT trig < 10 GeV/c

2. We search for Jets in any direction

a)without checking if we got V0 inside
-> Jet pT vs ΔΦ distribution
- for K0 and Lambda

hJetPtPhiKL_all.png

---+++ Update (26.08.2013)

***********************************************************************************************************************************************************************************************************************************************************

Jet corrected pT distribution (normalized to the number of trigger particles) fo r:

ΔΦ = 0 +/- 0.4 -Red

ΔΦ = π/2 +/- 0.4 -Green

ΔΦ = π +/- 0.4 -Black

Centrality 0-10%

KShort Lambda

wo_0_10.png

Centrality 10-20%

wo_10_20.png

Centrality 20-40%

wo_20_40.png

***************************************************************************************************************************************************************************************************************************************************************

b)with V0 inside jest cone
+ checking if second V0 is inside mass peak region (+/- 3 sigma)
for low pT V0: 1 GeV/c < V0 pT < 4 GeV/c
and high pT V0: V0 pT > 4 GeV/c
-> Jet pT vs ΔΦ distribution
- separately for KK, KL, LK, LL

hJetPtPhi_KK_l_h_all.png

hJetPtPhi_LL_l_h_all.png

Update (26.08.2013)

***********************************************************************************************************************************************************************************************************************************************************

Jet corrected pT distribution (normalized to the number of trigger particles) for:

ΔΦ = 0 +/- 0.4 -Red

ΔΦ = π/2 +/- 0.4 -Green

ΔΦ = π +/- 0.4 -Black

Left side: low pT V0 in Jet cone

Right side: high pT V0 in Jet cone

Centrality 0-10%

Kshort/Kshort

h_KK_0_10.png

Lambda/Lambda

h_LL_0_10.png

Centrality 10-20%

Kshort/Kshort

h_KK_10_20.png

Lambda/Lambda

h_LL_10_20.png

Centrality 20-40%

Kshort/Kshort

h_KK_20_40.png

Lambda/Lambda

h_LL_20_40.png

****************************************************************************************************************************************************************************************************************************************************************

* in attachments: Plots with full statistics: all_0_10.png, all_KK_10_20.png etc

HADRON-JET CORRELATIONS - UPDATE (2.09.2013)

Data sample: All of statistics in LHC10h (Pb-Pb collisions at 2.76 TeV).

Jet reconstruction: anti-kT, R = 0.4, jet area > 0.6πR^2, jet pT > 10 GeV/c, pT of jet constitues > 0.15 GeV/c (only charged jets are considered).

Background estimation : kT, R = 0.4, median value is used.

We pick V0 in given pT range [nV] - TRIGGER PARTICLE (+ checking if V0 is inside mass peak region (+/- 3 sigma))

2 GeV/c < pT trig < 3 GeV/c
3 GeV/c < pT trig < 5 GeV/c
5 GeV/c < pT trig < 10 GeV/c

We search for Jets in any direction (without checking if we got V0 inside)

Difference between Jet corrected pT distribution (normalized to the number of trigger particles) for :

Red: ΔΦ = 0 +/- 0.4 (near side) - ΔΦ = π/2 +/- 0.4

Black: ΔΦ = π +/- 0.4 (away side) - ΔΦ = π/2 +/- 0.4

Centrality 0-10%

c0_log.png

Centrality 10-20%

c10_log.png

Centrality 20-40%

c20_log.png

Ratios of Jet corrected pT distribution (normalized to the number of trigger particles) for :

Red: ΔΦ = 0 +/- 0.4 (near side) / ΔΦ = π/2 +/- 0.4

Black: ΔΦ = π +/- 0.4 (away side) / ΔΦ = π/2 +/- 0.4

Centrality 0-10%

ratio_0.png

Centrality 10-20%

ratio_10.png

Centrality 20-40%

ratio_20.png




Comments

All my files are available on alice005, in /data1/kasia/anaCJ directory.


/data1/kasia/anaCJ/AnalysisResults_new_all_imp.root -> output from AnaCorrJetV0sImp() for whole 2010 Pb-Pb statistics

/data1/kasia/anaCJ/bak/AnalysisResults_all.root -> jet and random cone comparison for whole 2010 Pb-Pb statistics

/data1/kasia/anaCJ/bak/corr_side_sub/AnalysisResults.root -> correlations with side-band background subtraction

/data1/kasia/anaCJ/bak/recoil/AnalysisResults.root -> recoil jet analysis, jet pt spectrum

/data1/kasia/anaCJ/bak/recoil_phi/AnalysisResults.root -> corrected jet pT distributions in near-, away-side and perpendicular regions in the azimuthal angle

+PlotMy.C - root macro

* in each case, all modifications in code are done in AliAnalysisTaskUserFlavourJet.cxx file

All plots can be find here:

Plots.tar.gz





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