Dataset, Event-, Centrality- and Track-cuts at 39 GeV
Dataset
- Run 10, √sNN = 39 GeV, Au+Au Collisions, ∼9.8M events good events analyzed
Event-cuts
Event-Cut | |
Trigger-ID | 280001 |
|Vz| (cm) | < 30 |
Vr (cm) (Vr = √Vx2+Vy2) |
< 1 |
Centrality-cuts
Centrality determination taken from Hiroshi:
www.star.bnl.gov/protected/bulkcorr/hmasui/2010/centrality_39GeV_Aug09/hiroshi_centrality_AuAu39GeV_Run10_Aug10_2010.pdf
Centrality | RefMult-cut | No. of Events |
0-10% most central | > 265 | ∼1.1M |
10-40% most central | > 81 & < 265 | ∼3.4M |
40-80% most central | > 7 & < 81 | ∼4.3M |
0-80% most central | > 7 | ∼8.8M |
Track-cuts
Track-Cut | |
Selection of bad tracks | 0 |
pseudorapidity |η| | < 1.0 |
NHitsFit | > 20 |
NHitsFit/NHitsPoss | > 0.52 |
dca-Global (cm) (dca-Global = √dcaD2+dcaZ2) |
< 2.0 |
|dcaD| (cm) | < 1.0 |
Event Plane via TPC, no pt-weights used |
|
PID via TOF (still work in progress) |
TOF: m2-cut |
- 0-80% most central
- |η| < 1.0 and Selection of bad tracks = 0 is used to generate the plots
- Asymmetry results due to non functional RDO's during the run
- More QA will come with studying the influence of track cuts to the different distributions
Next Page:
Uncorrected pt- and η-spectra:
drupal.star.bnl.gov/STAR/blog/mcm/2010/aug/10/pt-and-eta-spectra-uncorrected-39-gev
Groups:
- mcm's blog
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