P08ic -Jpsi(Test)

QA P08ic J/Psi -> ee+

This is the QA for P08id (jPsi - > ee). Reconstructin on Global Tracks and just Electrons (Positrons).

1. dEdx

2. DCA Distributions

An original 3D histogram had been created  and filled with pT, Eta and DCA as the 3 coordinates. Projection on PtBins and EtaBins had been made to create this "matrix" of plots.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

3. NFit Distributions

Similarly An Original 3D Histogram had been created with Pt, Eta and Nfit as coordinates. Respective projections had been made  in the same pT  and Eta Bins as the DCa distributions.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

4. Delta Vertex

The following are the Delta Vertex ( Vertex Reconstructed - Vertex Embedded) plot for the 3 diiferent coordinates (x, y and z)

5. Z Vertex and X vs Y vertex

6. Global Variables : Phi and  Rapidity

7. Pt

 Embedded J/Psi with flat pt (black)and Recosntructed Electrons (red).

8. Randomness Plots

The following plots, are to check the randomness of the input Monte Carlo (MC) tracks.

P08id (AXi -> RecoPiPlus)

AXi-> Lamba + Pion ^₊  ->P + Pion ^- + Pion ⁺

(03 08 2009)

1. Dedx

2.Dca

An original 3D histogram had been created  and filled with pT, Eta and DCA as the 3 coordinates. Projection on PtBins and EtaBins had been made to create this "matrix" of plots.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

3. Nfit

Similarly An Original 3D Histogram had been created with Pt, Eta and Nfit as coordinates. Respective projections had been made  in the same pT  and Eta Bins as the DCa distributions.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

4. Delta Vertex

5. Z Vertex and X vs Y vertex

6. Global Variables : Phi and  Rapidity

7. pt

8. Randomness

P08id (Lambda->PK)

QA of Lambda Embedding with run 8 d+Au on PDSF (sample 15x)

Let's first check some event wise information. They look fine.

Then we check the randomness of the input Monte Carlo (MC) Lambda tracks. The 'phasespace' command in GSTAR is used for sampling the MC tracks. The input is supposed to be flat for pT within [0,8], Y [-1.5,1.5] and Phi [-Pi,Pi]. The 3 plots below show the randomness is OK for this sample. Please notice that Y is rapidity, not pseudo-rapidity.

Then we compare the dedx of reconstructed MC (matched) global tracks (i.e. the daughters of MC Lambda) to those of real (or ghost) tracks, to fix the scale factor. (scale factor = 1.38 ?)

Now we compare the nFitHits distribution of matched global tracks (i.e. the daughters of MC Lambda) and real tracks. The cuts are |eta|<1, nFitHits>25. For matched tracks, nCommonHits>10 cut is applied. From the left plot, we can see, the agreement of nHitFits is good for all pT ranges.

We check the pT, rapdity and Phi distributions of reconstruced (RC) Lambda and input (MC) Lambda. The cut for Lambda reconstruction is very loose. They look normal.

Here, we compare some cut variables from the reconstructed (RC) Lambda to those from real Lambda. Again, as you can see in these plots, the cuts are very loose for Lambda (contribution of background is estimated with rotation method, and has been subtracted). These plots are made for 8 pT bins (with rapidity cut |y|<0.75). The most obvious difference is in DCA of V0 to PV, especially for high pT bin.

P08id (Omega -> RecoPiMinus)

Omega-> Lamba + K ^_-  ->  P + Pion ^- + K ^-

(03 08 2009)

1. Dedx

Reconstruction on pion Minus and Proton  Daugthers. 2 different plots are shown just for the sake of completenees.... Reconsructing on Kaon had very few statistics

Reco PionMinus	Reco Proton

2.Dca

An original 3D histogram had been created  and filled with pT, Eta and DCA as the 3 coordinates. Projection on PtBins and EtaBins had been made to create this "matrix" of plots.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

*.Reconstructing on Pion

 *. Reconstructing on Proton

3. Nfit

Similarly An Original 3D Histogram had been created with Pt, Eta and Nfit as coordinates. Respective projections had been made  in the same pT  and Eta Bins as the DCa distributions.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

*. Reconstructing Pion

*. Reconstructing Proton

4. Delta Vertex

 When reconstructed in Pion Minus and Proton it turns out to have the same ditreibutions so I just  posted one of them

5. Z Vertex and X vs Y vertex

6. Global Variables : Phi and  Rapidity

Reco Pion	Reco Kaon

7. pt

8. Randomness

P08id (phi ->KK) (March 05 2009)

QA Phi->KK (March 05 2009)

1. Dedx

 Reconstruction on Kaon Daugthers. 2 different plots are shown just for the sake of completenees....

2.Dca

An original 3D histogram had been created  and filled with pT, Eta and DCA as the 3 coordinates. Projection on PtBins and EtaBins had been made to create this "matrix" of plots.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

3. Nfit

Similarly An Original 3D Histogram had been created with Pt, Eta and Nfit as coordinates. Respective projections had been made  in the same pT  and Eta Bins as the DCa distributions.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

4. Delta Vertex

5. Z Vertex and X vs Y vertex

6. Global Variables : Phi and  Rapidity

7. pt

8. Randomness

P08id (phi ->KK)

QA P08id (Phi->KK)

This is the QA for P08id (phi - > KK). econstructin on Global Tracks and just Kaons. Macro from Xianglei used (I found the QA macro very  familiar). scale factor of 1.38 applied.

1. dEdx

 Reconstruction on Kaon Daugthers. 2 different plots are shown just to see how Montecarlo looks on top of the Ghost Tracks

2. DCA Distributions

An original 3D histogram had been created  and filled with pT, Eta and DCA as the 3 coordinates. Projection on PtBins and EtaBins had been made to create this "matrix" of plots.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

3. NFit Distributions

Similarly An Original 3D Histogram had been created with Pt, Eta and Nfit as coordinates. Respective projections had been made  in the same pT  and Eta Bins as the DCa distributions.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

4. Delta Vertex

The following are the Delta Vertex ( Vertex Reconstructed - Vertex Embedded) plot for the 3 diiferent coordinates (x, y and z)

5. Z Vertex and X vs Y vertex

6. Global Variables : Phi and  Rapidity

7. Pt

 Embedded Phi meson with flat pt (black)and Recosntructed Kaons (red).

8. Randomness Plots

The following plots, are to check the randomness of the input Monte Carlo (MC) tracks.

P08id(ALambda -> P, Pion)

QA ALambda->P, pi (03 08 2009)

1. Dedx

 Reconstruction on Proton and Pion Daugthers. 2 different plots are shown just for the sake of completenees....

Reco Proton	Reco Pion

2.Dca

An original 3D histogram had been created  and filled with pT, Eta and DCA as the 3 coordinates. Projection on PtBins and EtaBins had been made to create this "matrix" of plots.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

*.Reconstructing on Proton

 *. Reconstructing on Pion

3. Nfit

Similarly An Original 3D Histogram had been created with Pt, Eta and Nfit as coordinates. Respective projections had been made  in the same pT  and Eta Bins as the DCa distributions.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

*. Reconstructing Proton

*. Reconstructing Pion

4. Delta Vertex

 When reconstructed in Proton and pions it turns out to have the same ditreibutions so I just  posted one of them

5. Z Vertex and X vs Y vertex

6. Global Variables : Phi and  Rapidity

Reco Proton	Reco Pion

7. pt

8. Randomness

P08id(Xi -> Reco(PiMinus)

 Xi-> Lamba + Pion ^_-  ->P + Pion ^- + Pion ^-

(03 08 2009)

1. Dedx

 Reconstruction on PI Minus

2.Dca

An original 3D histogram had been created  and filled with pT, Eta and DCA as the 3 coordinates. Projection on PtBins and EtaBins had been made to create this "matrix" of plots.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

3. Nfit

Similarly An Original 3D Histogram had been created with Pt, Eta and Nfit as coordinates. Respective projections had been made  in the same pT  and Eta Bins as the DCa distributions.

Pt Bin array  used : { 0.5, 0.6, 0.8, 1.0} (moves down) and

Eta Bin array : {0.2, 0.5, 0.8, 1.0} (moves to the right)

For the Error bars, i used the option hist->Sumw2();

4. Delta Vertex

5. Z Vertex and X vs Y vertex

6. Global Variables : Phi and  Rapidity

7. pt

8. Randomness

Phi->KK(Mar 12)

Yuri_Test_PionMinus_032009

QA PionMinus

P04if

Hit level check-up:

Previous results - May 2002

Productions Cross Checks

Centrality Dependance

5% central	5 % - 10%	10% - 20%	20 % - 30 %
30% -  40%	40% - 50%	50% - 60%	60% - 80%

Reverse Full Field vs Full Field : No asymetry observed

	MinBias	Central
Pi Minus
	Min Bias	Central
K Minus
	MinBias	Central
Pbar

Charge Asymmetry : No asymetry observed for Pi Minus and  K Minus. For Pbar more data are needed

	MinBias	Central
Pi Minus
	Min Bias	Central
K Minus
	MinBias	Central
Pbar