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 University I Analysis Mtg, Purdue, July 2013 I have 4x7 TH2Ds from Xiaofeng Luo- net-p dE/dx, 0.4<P T <0.8, |y|<0.5, refmult3corr Daniel McDonald- net-p,-q,-KTOF, wider P T ranges, |  |<0.5, refmult2corr These TH2Ds are Nnet, Ntot, Npos, Nneg vs. refmultXcorr Filled after all cuts, run and event QA, etc. These files allow independent calculation of all observables (μ, σ 2, S , K  2,…) including CBW & efficiency corrections Also allows the calculation of all “baselines” – Poisson, (N)BD, Sampled Singles

2. Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 2 Recent work… Recent Presentations (net-p) http://wjllope.rice.edu/fluct/protected/moments_20130417.pps http://wjllope.rice.edu/fluct/protected/netpGPC_20130620.pdf http://wjllope.rice.edu/fluct/protected/netpGPC_20130623.pdf http://wjllope.rice.edu/fluct/protected/moments_20130626.pps http://wjllope.rice.edu/fluct/protected/netpGPC_20130628.pdf http://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 K  2 values dominated by proton C 4

3. Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 3 Net-K reasonable reproduction of net-K moments (except at ~200 GeV)

4. Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 4 Net-q Achtung!

5. Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 5 Sampling != Data Sampling generally reproduces data for all groups, centralities, and energies except 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

6. Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 6 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|<0.5 3:TPC efficiency, 0.4<P T <0.8, |y|<0.5 4: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.

7. Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 7 Simulations – Centrality… Gate refmultX distributions into standard STAR windows… 70-80%, …, 10-20%, 5-10%, 0-5% For centrality from the impact parameter, define x b =(b/b max ) 2 and use b max = 14 fm. 0.0<b<3.13 fmx = 0- 5% 3.13<b<4.42 fmx = 5-10% …10.84<b<12.52 fmx = 60-80% refmult2 vs b refmult3 vs b 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 x b, then plot the results as a function of N part from the exp. data… Allows direct comparisons of results following rmX-based and b-based centrality cuts…

8. Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 8 Simulations – Event samples… Still generating events (stats are light now) … the rest is basically a preview… refmult refmult2 refmult3 7.7 GeV 200 GeV ~4M evts ~1.0M evts

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15. Moments Update Click to edit Master subtitle style BulkCorr PWG parallel session, I Analysis Meeting, Purdue, 7/16/2013 15 BACKUP SLIDES

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