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CNI p-carbon polarimeters data comparison from fill 10300 to fill 10368
The comparization is between blue1 and blue2, offline and onl
Day 76 ZDC analysis
Updated on Tue, 2009-03-17 15:01. Originally created by aliceb on 2009-03-17 12:51.Introduction
I've analyzed the following runs, taken 17 March 2009 (day 76) with the spin rotators on:
10076019-021,024-026.
test
Updated on Tue, 2009-03-17 08:44. Originally created by xpzhang on 2009-03-17 08:43.mcVertexZ.gif
QM09 v1
Updated on Wed, 2009-03-25 08:59. Originally created by cperkins on 2009-03-17 00:04.QM09 Talk (v1) - Chris Perkins - Run8 p+p and d+Au
New PID Asymmetries II
Updated on Mon, 2009-03-16 20:22. Originally created by kocolosk on 2009-03-16 20:21.This post is basically a correction to New PID Asymmetries.
Run 8 Pions - Correlations
Updated on Wed, 2009-06-03 14:36. Originally created by stevens4 on 2009-03-16 15:58.Correlations with Invariant Mass
Data Set1: STAR 2008 pp data
- I used the following query conditions in the file_catalog for this study:
EEMC Tower and Mapmt Channel Prinouts
Updated on Mon, 2009-03-16 15:50. Originally created by aliceb on 2009-03-16 15:50.Attached are prinouts with the ratio of ADC-ped=20 to ADC-ped=100/total at what appears to be the optimal time delay for the crates. For towers I have everything at 40 and 60 ns and for the m
Analyzing Day 74 ZDC data
Updated on Mon, 2009-03-16 17:03. Originally created by aliceb on 2009-03-16 14:18.Runs 10074004,5
New PID Asymmetries
Update: I coded up the statistical uncertainty calculation incorrectly in this post. I forgot to divide by the purity! The optimal cuts changed by a lot when I fixed that error. I also generalized the formula to account for the presence of signal in the sidebands, and I included the lowest p_{T} bin in the analysis. For more details see New PID Asymmetries II. Bottom Line — the results on this page are wrong!
In an earlier post I explained the new method for calculating identified particle yields that I’m using in my A_{LL} analysis. I began that study because I planned to calculate A_{LL} differently than I had been in the past. Specifically, I wanted to incorporate the proton/kaon/electron backgrounds into the statistical uncertainty instead of assigning a separate (statistics-limited) systematic uncertainty to account for their presence. I’m using the following formulas for A_{LL} and its statistical uncertainty:
where the p_{T}-dependent background fractions are defined as:
I wrote a small function to estimate the statistical precision on A_{LL} given the p_{T} bin, pion acceptance window, and sideband acceptance windows. I didn’t care about the absolute statistical precision, so I just used 1/sqrt(N) for the uncertainty on each A_{LL}. I used Minuit2 to minimize this function and extract the optimal acceptance windows, with the constraint that the purity in each sideband is never below 90%. In principle, this approach would yield four momentum-dependent cuts. In practice, the p+K sideband cut and the left side of the pion acceptance window only had a small momentum dependence, so for the sake of simplicity I keep them fixed. I also choose to fix the other two cuts in each p_{T} bin instead of letting them vary with momentum. In the end I employ the following cuts
pT bin | π window | max p+K | min electron |
---|---|---|---|
3.18 - 4.56 | (-1.90, 2.40) | -1.90 | 2.40 |
4.56 - 6.32 | (-1.90, 2.25) | -1.90 | 2.50 |
6.32 - 8.80 | (-1.90, 2.00) | -1.90 | 2.60 |
8.80 - 12.84 | (-1.90, 1.50) | -1.90 | 2.60 |
These cuts are significantly wider than the (-1.0, 2.0) acceptance window I had been using in the past. Apparently the reduction in purity is more than offset by the extra efficiency.
The electron side of the acceptance window is interesting. As momentum increases the pion band moves closer to the electron band. As a result, we need to move the electron sideband cut further out to maintain the 90% purity. This cuts down on the electron background A_{LL} statistics. The minimizer compensates for that uncertainty by restricting the right side of the pion acceptance window and thus reducing the electron background fraction.
I compared the uncertainties obtained by the minimizer with the uncertainties from my old method (a flat (-1.0, 2.0) cut that does not subtract out the background asymmetries). It turns out that the uncertainties from the new method are actually smaller in every p_{T} bin. I haven’t calculated a systematic uncertainty for this method, but if there is one it will be far smaller than the systematic from the old method (~ background fraction * sigma of background A_{LL}). In other words, using the new method is a no-brainer.
Oh, and one plot, just because I think it’s pretty: