Hit and TrackingData set used: Pythia p+pHijing b=10, dca < 1 cmFit Points >= 24, dca < 1cm

Fit Points, Last ReviewLoose cuts:All mult,|eta|

Fit Points, Low MultiplicityCuts:

|dca=10

Fit Points, NowCuts:Central HijingGlobal dca=10Integral normalized to 1

Fit Points, NowCuts:Central Hijing,|eta|

Efficiency vs Multiplicity, last reviewHere, efficiency is:

All Matched TracksAll MC Tracks

(even MC tracksNot in acceptance)

So, absolute scaleMuch worse than True efficiency. Current Tracker Integrated Tracker

Efficiency vs Multiplicity, PionsHere, efficiency is:

Matched TracksThrown MC Tracks

(even MC tracksNot in acceptance)

So, reallyEffic*accept.Hijing, AuAub

Efficiency vs Multiplicity, KaonsHere, efficiency is:

Matched TracksThrown MC Tracks

(even MC tracksNot in acceptance)

So, reallyEffic*accept.

Efficiency vs Multiplicity, ProtonsHere, efficiency is:

Matched TracksThrown MC Tracks

(even MC tracksNot in acceptance)

So, reallyEffic*accept.

Efficiency vs pT, last reviewHere, efficiency is:

Found & MatchedMC Accepted

i.e. as in all spectraanalyses Current Tracker Integrated Tracker

Efficiency vs pT, Low Mult, loose cutsHere, efficiency is:

Found & MatchedMC Accepted

i.e. as in all spectraanalysesAt low multiplicityThings look OK

Efficiency vs pT, High Mult, loose cutsHere, efficiency is:

Found & MatchedMC Accepted

i.e. as in all spectraanalyses

Efficiency vs pT, High Mult, tighter dcaHere, efficiency is:

Found & MatchedMC Accepted

i.e. as in all spectraanalyses

and tighter fit pointsHere, efficiency is:

Found & MatchedMC Accepted

i.e. as in all spectraanalyses

Cuts like thoseused in identifiedspectra papers

Efficiency vs eta, tight cutsHere, efficiency is:

Found & MatchedMC Accepted

i.e. as in all spectraanalyses

Cuts like thoseused in identifiedspectra papers

Data Comparison, ITTF/TPT yieldsHere, Zhangbu used:

Fit Points >= 15For the highestmultiplicity,Sti finds ~80% of the tracks foundby the old tracker.

Data Comparison, ITTF/TPT yieldsHere, Zhangbu used:

Fit Points >= 15The ~80%improves ash approaches 1(but then decreases)

Snapshot and Areas to improveShape of distributions are similar to current trackerMean Fit Points shows similar trends with multiplicity, pt and etaShape at low fit points shows no bump from the large etaEfficiency is still low comparted to current trackerNew tracker shows stronger multiplicity dependenceLarge eta tracking needs tuning (see also Andrews talk)