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Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 1 Moments Update W.J. Llope, Rice University I Analysis Mtg, Purdue, July 2013 4x7 TH2Ds from ofeng Luo - net-p dE/dx, 0.4<P T <0.8, |y|<0.5, refmult3corr iel McDonald - net-p,-q,-K TOF, wider P T ranges, |h|<0.5, refmult2 TH2Ds are Nnet, Ntot, Npos, Nneg vs. refmultXcorr after all cuts, run and event QA, etc. files allow independent calculation of all observables (μ, σ 2 , Ss, K luding CBW & efficiency corrections llows the calculation of all “baselines” – Poisson, (N)BD, Sampled S

Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 1 Moments Update W.J. Llope, Rice

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Page 1: Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 1 Moments Update W.J. Llope, Rice

Moments Update

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BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 1

Moments UpdateW.J. Llope, Rice University

I Analysis Mtg, Purdue, July 2013

I have 4x7 TH2Ds from Xiaofeng Luo - net-p dE/dx, 0.4<PT<0.8, |y|<0.5, refmult3corrDaniel McDonald - net-p,-q,-K TOF, wider PT ranges, |h|<0.5, refmult2corr

These TH2Ds are Nnet, Ntot, Npos, Nneg vs. refmultXcorrFilled after all cuts, run and event QA, etc.

These files allow independent calculation of all observables (μ, σ2, Ss, Ks2,…) including CBW & efficiency corrections

Also allows the calculation of all “baselines” – Poisson, (N)BD, Sampled Singles

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Recent work…

Recent Presentations (net-p)http://wjllope.rice.edu/fluct/protected/moments_20130417.ppshttp://wjllope.rice.edu/fluct/protected/netpGPC_20130620.pdfhttp://wjllope.rice.edu/fluct/protected/netpGPC_20130623.pdfhttp://wjllope.rice.edu/fluct/protected/moments_20130626.ppshttp://wjllope.rice.edu/fluct/protected/netpGPC_20130628.pdfhttp://wjllope.rice.edu/fluct/protected/moments_20130703.pdf

McDonald’s AGS/RHIC User’s meeting poster (net-K and net-q)http://www.star.bnl.gov/protected/bulkcorr/dmac/AGSposter_dmcdonaldv2.pdf

The main points of this work will be presented in a plenary session tomorrow…

Basic summary…My independent code reproduces the results in the net-p paper, and the net-K,-q

(QM2012)including the efficiency-corrected net-p results

“Sampled Singles” is a data-driven baseline that breaks any existing intra-event correlations

The sampled singles approach reproduces the net-p experimental results “exactly”Measured moments products also precisely reproduced by independent random variable

cumulant arithmetic.Intra-event correlations, if they exist, have no impact on the measured net-p moments

Measured net-p Ks2 values dominated by proton C4

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Net-K

reasonable reproduction of net-K moments (except at ~200 GeV)

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Net-q

Achtung!

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Sampling != Data

Sampling generally reproduces data for all groups, centralities, and energiesexcept net-charge, 62.4 & 200 GeV, more central than ~40-50%

Same events!

Clearly there is an important intra-event correlation at work here. Need to understand

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Simulations – Introduction…

Run UrQMD at 7 root-s values and for 0 ≤ b ≤ 12.52 fm

For each event, save:b (fm), refmult, refmult2, refmult3, and 4x6 multiplicities

The 4x6 multiplicities are 4 “conditions” and 6 particles (π±, K±, p, pbar)…conditions

1: perfect detection of all participants & produced particles (ncoll[i]>0)2: perfect detector and |η|<0.53: TPC efficiency, 0.4<PT<0.8, |y|<0.54: TPC efficiency, wider P limits appropriate for TOF PID, |η|<0.5

Not trying to exactly reproduce the measured results, but trying to- isolate centrality resn effects by comparing b cuts to refmultX cuts for one condition- isolate acceptance effects by comparing conditions for one centrality selection

For TPC efficiencies, presently using Evan’s parameterizations…BTW, I now have all the BES p,K,p embedding minimc’s and am analyzing these

Also, TOF match efficiencies from my p,pbar,A,Abar analyses recently updated.

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Simulations – Centrality…

Gate refmultX distributions into standard STAR windows… 70-80%, …, 10-20%, 5-10%, 0-5%

For centrality from the impact parameter, define xb=(b/bmax)2 and use bmax = 14 fm.

0.0<b<3.13 fm x = 0- 5% 3.13<b<4.42 fm x = 5-10%

… 10.84<b<12.52 fm x = 60-80%

refmult2 vs b refmult3 vs b

200 GeV 200 GeV

net-p vs rm3corr net-p vs “x” 200 GeV 200 GeV

Once the event centrality is set using cuts on refmultX or geometrical xb, then plot the results as a function of Npart from the exp. data…

Allows direct comparisons of resultsfollowing rmX-based and b-based centrality cuts…

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Simulations – Event samples…

Still generating events (stats are light now) … the rest is basically a preview…

refmultrefmult2refmult3

7.7 GeV

200 GeV

~4M evts

~1.0M evts

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BACKUP SLIDES

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