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Status of AIF analysis Daisuke Kaneko
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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
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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)
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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.
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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
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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.
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Result of trigger simulation
Base shape of Sig+RMD PDF became more similar to BG PDF. Δθ & Δt PDF did not changed by this.
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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
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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
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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
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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%
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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.
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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.
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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
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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
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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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