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Update 09.24.2018 -- Run 9 pp: Unfolding Systematics (No Bin-By-Bin Comparison And Better Summing), 9 - 11 GeV Pi0 (R = 0.2)
Following up from the last post,
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-09222018-run-9-pp-unfolding-systematics-9-11-gev-pi0-r-02
iTPC software
room 1-189 in Physics, at 15:00 (GMT), duration : 01:00
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| Time | Talk | Presenter |
|---|---|---|
| 11:00 | comparison of voltage ( 00:20 ) 1 file | Maria Stefaniak (Warsaw University of Tech, Subatech) |
JetCorr Update -- September 24th, 2018
Slides for the weekly JetCorr meeting on September 24th, 2018.
Update 09.22.2018 -- Run 9 pp: Unfolding Systematics, 9 - 11 GeV Pi0 (R = 0.2)
After the previous iteration (see the link below), we refined how we're calculating the systematic uncertainties.
Update 09.21.2018 -- Pythia: Fitting Pi0 and Gamma-Direct Spectra With Power Laws
As we move forward with the unfolding, we'd like to use a power law as a prior. So here are 4 spectra from Pythia fitted with power laws (that way we have a reasonable estimate of what the defau
Update 09.20.2018 -- With And 'Without' Unfolding Errors In RooUnfold
Just to verify what's going into the error bars RooUnfold returns, I unfolded our pi0-triggered (9 - 11 GeV) data twice (with all of the same unfolding parameters): once with all of the default option
Update 09.20.2018 -- Run 9 pp: Default vs. Efficiency +- 5% With No Errors on Efficiency (R = 0.2 Charged Jets)
Yesterday I checked what happens when I fix the response matrix, but change the efficiency:
JetCorr Follow-Up [09.11.2018] -- Closure Tests With Bayesian And SVD Unfolding
Something seems to be going on with the SVD algorithm in our correction scheme:
Update 09.18.2018 -- Run 9 pp: Default Unfolding vs. Efficiency +- 5% With Fixed Response Matrix (R = 0.2 Charged Jets)
Following up from earlier today:
https://drupal.star.bnl.gov/STAR/blog/dmawxc/update-09182018-run-9-pp-default-unfolding-vs-efficiency-5-r-02-charged-jets
Update 09.18.2018 -- Run 9 pp: Default Unfolding vs. Efficiency +- 5% (R = 0.2 Charged Jets)
Following up from yesterday:
Update 09.17.2018 -- Run 9 pp: Default Unfolding vs. Efficiency +- 5% (R = 0.2 Charged Jets)
Earlier today, I presented the systematic uncertainties for the unfolded pi0- and gamma-triggered R = 0.2 charged jet distributions.
iTPC software
1-189, at 15:00 (GMT), duration : 01:00
Phone Dial-in
+1.408.740.7256 (United States)
+1.888.240.2560 (US Toll Free)
+1.408.317.9253 (Alternate
| Time | Talk | Presenter |
|---|---|---|
| 11:00 | number of hits in sectors depending on voltage ( 00:20 ) 3 files | Maria Stefaniak |
| 11:00 | number of hits in sectors depending on voltage ( 00:20 ) 3 files | Maria Stefaniak |
Update 09.17.2018 -- Run 9 pp: Unfolding Systematics, Gamma (R = 0.2, 9 - 11 and 11 - 15 GeV)
Following up on earlier today:
Update 09.17.2018 -- Run 9 pp: Unfolding Systematics, Pi0 (R = 0.2, 9 - 11 and 11 - 15 GeV)
The plots below show the systematic uncertainties on two of the unfolded pi0 spectra, R = 0.2 charged jets for 'eTtrg = 9 - 11' GeV and 'eTtrg = 11 - 15 GeV'. The legends indicate the different
Update 09.14.2018 -- SVD Unfolding: Singular Values and Kreg (With No pTjet = 23 - 30 GeV/c Bin)
Following up on earlier today (see link below), it was suggested in a local meeting today to try unfolding with SVD without the last bin of data (pTjet = 23 - 30 GeV/c).
Update 09.14.2018 -- SVD Unfolding: Singular Values and Kreg (With No pTjet = 23 - 30 GeV/c Bin)
Following up on earlier today (see link below), it was suggested in a local meeting today to try unfolding with SVD without the last bin of data (pTjet = 23 - 30 GeV/c).
JetCorr Follow-Up [09.11.2018] -- SVD Unfolding: Singular Values and Kreg
In response to slide 13 of the presentation below, it was suggested that I take a look into the so-called "d" vector and singular values of the SVD unfolding when it comes to selecting a sol