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HF-PWG minutes 2018/04/05
Updated on Thu, 2018-04-05 14:43. Originally created by marr on 2018-04-05 14:42.
1) Systematics for J/psi in Run11 pp 500 GeV - Qian Yang
a. Updates to the J/psi cross-section measurement in p+p collisions at 500 GeV using Run11 BHT2 data are presented. The new mass-count efficiencies are calculated using tuned toy-MC, and the systematic uncertainness are re-evaluated using the fitting method to extract the J/psi counts in order to avoid statistical fluctuations.
b. Slide 5: make a ratio between data and toyMC to check how well the line-shape describes the right-hand-side tail of the distribution in data
c. Slide 5-6: determine the uncertainty on the smearing parameter and propagate the uncertainty to the mass-count efficiency
d. Slide 12: use the bin-counting method to calculate the mass-count efficiency in embedding for 4 < pt < 4.5 GeV/c bin where the statistics is too low to reliably fit the distribution using a chi2 method.
e. Slide 19: try to smooth out the uncertainty due to TPC tracking, as there is not particular reason why the uncertainty should be significantly larger for 8-8.5 GeV/c and 14 GeV/c bins compared to neighboring bins.
2) NPE in Run15 pp/pAu - Kunsu OH
a. A re-analysis of the NEP measurement using Run15 pp 200 GeV data is presented. Several issues were found in Zach's previous analysis: e.g. electron purity at high pt, NSD cross section, trigger bias factor, equivalent number of MB events, etc. With these issues fixed, the new Run15 result agrees very well with Run12 preliminary results. These improvements will be applied to Run15 pAu data for measurement of cold nuclear matter effect.
b. Slide 5: re-calculate various efficiencies from embedding to check whether there are any issues in Zach's previous calculation.
3) Upsilon in Run16 AuAu 200 GeV (MTD) - Pengfei Wang
a. Efficiencies and systematic uncertainties on Run16 Upsilon analysis using MTD data are presented. Will combine with previous analysis once the corrected results are obtained.
b. Slide 10: suggest to smooth out the TPC tracking efficiency uncertainty by using a 10% value for all the pt and centrality bins.
a. Updates to the J/psi cross-section measurement in p+p collisions at 500 GeV using Run11 BHT2 data are presented. The new mass-count efficiencies are calculated using tuned toy-MC, and the systematic uncertainness are re-evaluated using the fitting method to extract the J/psi counts in order to avoid statistical fluctuations.
b. Slide 5: make a ratio between data and toyMC to check how well the line-shape describes the right-hand-side tail of the distribution in data
c. Slide 5-6: determine the uncertainty on the smearing parameter and propagate the uncertainty to the mass-count efficiency
d. Slide 12: use the bin-counting method to calculate the mass-count efficiency in embedding for 4 < pt < 4.5 GeV/c bin where the statistics is too low to reliably fit the distribution using a chi2 method.
e. Slide 19: try to smooth out the uncertainty due to TPC tracking, as there is not particular reason why the uncertainty should be significantly larger for 8-8.5 GeV/c and 14 GeV/c bins compared to neighboring bins.
2) NPE in Run15 pp/pAu - Kunsu OH
a. A re-analysis of the NEP measurement using Run15 pp 200 GeV data is presented. Several issues were found in Zach's previous analysis: e.g. electron purity at high pt, NSD cross section, trigger bias factor, equivalent number of MB events, etc. With these issues fixed, the new Run15 result agrees very well with Run12 preliminary results. These improvements will be applied to Run15 pAu data for measurement of cold nuclear matter effect.
b. Slide 5: re-calculate various efficiencies from embedding to check whether there are any issues in Zach's previous calculation.
3) Upsilon in Run16 AuAu 200 GeV (MTD) - Pengfei Wang
a. Efficiencies and systematic uncertainties on Run16 Upsilon analysis using MTD data are presented. Will combine with previous analysis once the corrected results are obtained.
b. Slide 10: suggest to smooth out the TPC tracking efficiency uncertainty by using a 10% value for all the pt and centrality bins.
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