STAR Protected
eTOF Data Format
Data Format Used in the 2020 run (commissioning & production)
1) CbmTofStarSubevent2019
Article 20 SN0014
Docs from LBL assembly
QM talk slides draft
Yang Wu's QM 2018 talk slides (draft_03 is same as draft_04). Thanks for any comments and/or advices!
Update 04.23.2018 -- Pythia: pT Resolution Width (and Resolution / Efficiency Algorithm)
I wanted to check what the pT resolution [sigma = (pTmc - pTreco) / pTmc] looks like as implemented in our standalone Pythia8 simulation, so as to compare it to the resolution I calculated from the Ru
Update 04.20.2018 -- Run 9 pp: Resolution Check In Pythia
Previously, I had calculated a tracking resolution with a width of 0.1% added in quadrature with a constant width of 3%. I was anticipating a tracking resolution with a width of ~1% added in qua
Update 04.17.2018 -- Pythia: Testing Efficiency
This post is just for posterity. I'm updating my Pythia8 jet-finder code to simulate the TPC response as determined in the Run 9 dijet embedding. Rather than figure out the functional form
Update 04.17.2018 -- Run 9 pp: efficiency fit
For kicks and grins, I decided to try to fit the efficiency curve I calculated from the Run 9 dijet embedding:
Update 04.17.2018 -- Run 9 pp: pTot Resolution Width
Yesterday, I calculated the tracking resolution as a function of monte-carlo pT. The fit values seemed a little low, however: I was anticipating a constant width of ~5% (varsigma_0) and a linear
Update 04.16.2018 -- Run 9 pp: pT Resolution Width
Previously, I calculated the tracking resolution (sigma) as a function of the Monte-Carlo pT (pTmc):
Update 04.13.2018 -- Run 9 pp: track phi, eta, pT resolution
Below are the "resolutions," sigma(x) = (xMC - xReco) / xMC, for the track phi, eta, and pT as calculated from the Run 9 dijet embedding sample (RFF configuration). The large values of
Update 04.11.2018 -- Run 9 pp Efficiency: Different Binning
Here is the Run 9 tracking efficiency (using our usual QA cuts) for all charged hadrons with different binning schemes; one uses really, really tiny bins, and the other uses variable bin sizes.
Update 04.11.2018 -- Run 9 pp Efficiency: Different Binning
Here is the Run 9 tracking efficiency (using our usual QA cuts) for all charged hadrons with different binning schemes; one uses really, really tiny bins, and the other uses variable bin sizes.