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Status of AIF analysis Daisuke Kaneko.

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Presentation on theme: "Status of AIF analysis Daisuke Kaneko."— Presentation transcript:

1 Status of AIF analysis Daisuke Kaneko

2 Reminder 1 Decided issues
BG PDF : Contains “true AIF” and “accidental AIF”  → Use trigger 0 data directory Signal, RD PDF : Only “accidental AIF”  → Simulate accidental by shuffling γ and e+ combination. PDF value entry comment Projection 3×1D Binning ▲Cannot treat correlation between AIF observables 3D Binning 1×3D ▲Much statistics needed for multi dimension 3D Fit Fitting ▲It is difficult to model distribution is whole analysis area MVA 1×1D ● Correlation can be considered ● Less statistics needed because 1D

3 Reminder 2 From recent collab. meeting
The shape of PDF for Signal & RMD agrees better with MEG trigger e+ data than random trigger But Δφ has un-negligible discrepancy Some AIF are found very close to main e+ track Probably this is ghost of main e+ ΔθAIF ΔφAIF [deg] AccBG Sig(trig00) Sig(trig22) Sig(trig31)

4 Remaining issues How to make Sig+RMD PDF
Why Δφ distribution still have difference How to set “No-AIF-candidate” ratio Is AIF finding algorism correct ?  Why found candidates are so different by year  Inefficient candidates are found in small R  etc.

5 Δφ distribution true pair shuffled pair XEC V γ TC φ
↑Events that do not exist in real pair ↑ structure due to select one TIC hit

6 Trigger simulation LXe γ DCHAIF Interconnection VGamma DCHAIF AIF
Finder AIF candidate mix Trigger table which was made from true γ and e+ pair ↓ Positron event list before : vector <Int_t> new : vector [#bar] <Int_t> Used list is randomly selected according to VGamma and table. Used e+ event is randomly selected from the list.

7 Result of trigger simulation
Base shape of Sig+RMD PDF became more similar to BG PDF. Δθ & Δt PDF did not changed by this.

8 How much is No AIF candidate event
In Signal or RMD event, the probability to find AIF candidate is smaller than that of BG event, because BG event contain real-AIF event. If e+ of trigger 0 (BG) event is used for Sig & RMD PDF, the ratio to find AIF become higher than it really is. Red : AccBG Blue : Sig & RMD No-AIF-events are stored in exceptional bin MVA Index

9 Classification of event type
signal RMD BG not by AIF BG by AIF γ e+0 e+1 … no AIF e+ γ e+0 e+1 … no AIF e+ γ e+0 e+1 … e+AIFa No AIF candidate Category 1 Category 3-1 γ e+0 e+1 … e+AIFa … γ e+0 e+1 … e+AIFa … γ e+0 e+1 … e+AIFa e+AIFb … ? ? ? AIF is found but not real Category 2 Category 3-2

10 Ways to calculate “no AIF ratio”
Remove most likely candidate e+ from Cat.3 Scale Cat.1 & 2 signal RMD Trig0 / trigger 1 A2 B3-2 C2 D2 B3-1 B2 A1 C1 D2 B1

11 Check by example 2012 year, 2000 runs γ : 48MeV & Acceptance e+ : positron selection TOTAL AIF found No AIF B1 70499 54400 16059 22.7% calculate “C-1” B3-1 Only 1 candidate B3-2 More than 2 candidates 2852 Select Cat.3 (peak) by small box 54400 381 2417 C-1 = (B1 + B3-1) / (ALL) = 23.3% calculate “D-1” D-1 = (B2) / (B1) = 23.7%

12 remove most likely candidate e+
Black 1 Blue 2 Green 3 no AIF region cut Black 1 Blue 2 Peak area cut The 2nd AIF like e+ when the 1st e+ is in peak similar to base shape.

13 Treatment for few event bin
Example of AIF MVA PDF by BDT method. Basically the P(SIG)/P(BG) has increasing trend, but statistically fluctuate at end part. We think to rebin or use variable width histo to avoid strange likelihood value. Another way : Cut far remote region, and store it in OverFlow bin.

14 Summary to make Signal AIF PDF
・Use γ and e+ both from _open trigger 0 data    ・If the same event is selected, select a e+ again ・Simulate γ-e+ direction matching    ・Simulate also θ and t direction ?       ・PDFs already match in its base part ・Ratio of “no candidate”    ・C-1 or D-1       ・Difference should be systematic ?    ・Do include category 3-2 e+ data in shuffling ?       ・It is already known that, whether        remove Cat3 doesn’t make no significant        difference in distribution shape

15 Remaining issues Finalize Reconstruct Methods
 → Test Reconstruction Process Decide MVA methods  → Calculation MVA index Prepare Signal & BG PDF  → Start fitting Estimate systematic error in AIF analysis  → Start sensitivity calculation

16 Schedule 3 4 5 6 7 Finalize Reconstruct Test Reprocess
Year/Period investigate MVA selection Main Reprocess PDF preparation Final check about AIF


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