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Update 03.07.2018 -- Run 9 pp: Efficiency, Adjusting DCA, IdVxEnd, and PID Selection

Previously, I was looking into why our tracking efficiency in the Run 9 dijet embedding was so low.  We were expecting somewhere between 85~90% for high pT, but we were seeing ~80% or less. 

February 2018

STAR Newsletter

February 2018 edition

Analysis status

 

talk draft for Moriond 2018

 

Update 03.06.2018 -- Run 9 pp: Efficiency, Varying Partonic Pt

Requiring that the reconstructed vertex be within our typical cuts (|Vz| < 55 cm and |Vr| < 2 cm) pushes our tracking efficiency up, but not by the amount we were expecting (see this

Update 03.05.2018 -- Run 9 pp: Efficiency, Applying Vertex Cuts

The efficiency calculated in the last post of this study came out to be lower than expected:

xcheck_d0v1

Update 03.01.2018 -- Geant Tracks Vs. MC Tracks

I was looking into the differences between the tracks contained in the '*.geant.root' files (which I call "geant tracks") and the tracks contained in the 'StMuMcTrack' branch of the '*.MuDst

Update 03.01.2018 -- Run 9 pp: Efficiency Test

I tried calculating the efficiency from the Run 9 dijet embedding sample using the following algorithm:

A_LL pT systematic correlations and mass window adjustment

Update 02.28.2018 -- Nfit Cut Check

This is a brief check of how the cut on the no. of hits fit affects the pp recoil jet distribution.  I apply a cut of Nfit >= 15 on all tracks used in the jet finding process.

Update 02.27.2018 -- 'IdTruth' and Etc. vs. Momentum

Below are some plots which show how the global dca, 'idTruth' (the index of the MC track which the detector track was matched to), 'qaTruth' (the percentage of hits successfully matched to an MC track

iTPC schedule

 

Update 02.26.2018 -- Average Trigger Et

To make sure we're comparing apples-to-apples when comparing our pp (and Pythia) results to our AuAu results, I've plotted the trigger Et distributions for both pi0 and gamma-rich triggers in data and

Update 02.26.2018 -- Run 9 Embedding: Bad Phi Region

Previously in the comparison of charged hadron triggers in the Run 9 dijet embedding to the pi0 triggers in Run 9 data, the embedding showed a systematic depletion of tracks in the trigger pT range (9

Update 02.23.2018 -- Run 9 pp Efficiency: Efficiency Using 'idTruth'

This is a follow-up to yesterday's post:

D0v1 crosschecks

HF minutes - 2018/02/22

 1) D0 v1 in 200 GeV Au+Au - Liang He

Update 02.22.2018 -- Run 9 pp Efficiency: Using StMuMcTracks

The shape of the track efficiency (as a function of pT) looked odd when I calculated it from the Run 9 dijet embedding sample (see the blog post below).  I calculated it using all detector and pa

Quark Matter 2018 - Accepted Presentations

  Oral Presentations: