Hit and Tracking Data set used: From loose to tight cuts Pythia p+p

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Presentation transcript:

Hit and Tracking Data set used: From loose to tight cuts Pythia p+p Hijing b<3 simulations Usually, absolute value of efficiency is too ideal … comparisons between current code & IT From loose to tight cuts Look at midrapidity (|eta|<0.5) mainly Accepted MC tracks == 10 MC Hits at least Reconstructed track cuts: Fit Points >= 10, no dca cut (3 cm for primaries) Fit Points >=10, dca < 1 cm Fit Points >= 24, dca < 1cm

Fit Points, Last Review Current Tracker Loose cuts: Integrated Tracker, Sep 02 Loose cuts: All mult, |eta|<1.5, dca<3, Fit Pts>9

Fit Points, Low Multiplicity Cuts: |dca<1, Fit Pts>=10

Fit Points, Now Cuts: Central Hijing Global dca<1, Fit Pts>=10 Integral normalized to 1

Fit Points, Now Cuts: Central Hijing, |eta|<1.5, Global dca<1, Fit Pts>=24

“Efficiency” vs Multiplicity, last review Here, efficiency is: All Matched Tracks All MC Tracks (even MC tracks Not in acceptance) So, absolute scale Much worse than True efficiency. Current Tracker Integrated Tracker

“Efficiency” vs Multiplicity, Pions Here, efficiency is: Matched Tracks Thrown MC Tracks (even MC tracks Not in acceptance) So, really Effic*accept. Pythia, p+p Hijing, AuAu b<3 fm

“Efficiency” vs Multiplicity, Kaons Here, efficiency is: Matched Tracks Thrown MC Tracks (even MC tracks Not in acceptance) So, really Effic*accept.

“Efficiency” vs Multiplicity, Protons Here, efficiency is: Matched Tracks Thrown MC Tracks (even MC tracks Not in acceptance) So, really Effic*accept.

Efficiency vs pT, last review Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses Current Tracker Integrated Tracker

Efficiency vs pT, Low Mult, loose cuts Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses At low multiplicity Things look OK…

Efficiency vs pT, High Mult, loose cuts Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses

Efficiency vs pT, High Mult, tighter dca Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses

… and tighter fit points Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses Cuts like those used in identified spectra papers

Efficiency vs eta, tight cuts Here, efficiency is: Found & Matched MC Accepted i.e. as in all spectra analyses Cuts like those used in identified spectra papers

Data Comparison, ITTF/TPT yields Here, Zhangbu used: Fit Points >= 15 For the highest multiplicity, Sti finds ~80% of the tracks found by the old tracker.

Data Comparison, ITTF/TPT yields Here, Zhangbu used: Fit Points >= 15 The ~80% improves as h approaches 1 (but then decreases)

Snapshot and Areas to improve Shape of distributions are similar to current tracker Mean Fit Points shows similar trends with multiplicity, pt and eta Shape at low fit points shows no bump from the large eta Efficiency is still low comparted to current tracker New tracker shows stronger multiplicity dependence Large eta tracking needs tuning (see also Andrew’s talk)