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Event Classification & Background Rejection

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Presentation on theme: "Event Classification & Background Rejection"— Presentation transcript:

1 Event Classification & Background Rejection
Bill Atwood & Friends

2 Recap Since DC1 DC1 Closeout February 2004
Begin Recon-Rewrite, May 2004 First up: TkrRecon Participants: Tracy Usher, Leon Rochester, Johann Cohen-Tanugi, WBA Next up: CalRecon Participants: Tracy Usher, Philippe Breul, Pol d'Avezac, Fred Piron, Eric Nuss, David Chamont, WBA Next up: AcdRecon Participants: Heather Kelly, Eric Charles, WBA Development of Alternative High Level Analysis Toby Burnett & Riccardo Rando et al Begin DC2 Analysis, May 2005 First Energy Analysis

3 Energy Methods Method % Computed % Best Est. Parametric 100 63.6
Profile 49.9 24.7 Last Layer 23.4 5.5 Tracker 16.5 6.3 4 Methods* 3 Only cover a part of Glast Phase Space *Pol d'Avezac has combined Tracker & Last Layer Parametric Tracker Last Layer Profile Only Parametric Available: 37.7% This tends to be the Local Land Fill (City Dump!) Unfortunately there are too many events here to simply throw out. Compare each Method against a "standard" defining: Energy Resolution Model Select Method giving the Highest CT Prob. Data Set: All Gamma (GR-HEAD1.615) sModel = /(McLogEnergy) *(McLogEnergy-2.)2

4 E4: Unbalanced CTs - 2s on s= /(log(E))3 Data Set: AG1617-mod

5 How to Tell What You Have:
In an analysis you may wish to check which energy method your "signal" is relying on. In the IM environment this is captured by a set of CATAGORICAL Variables and life is easy... however this was not captured in the translation to GLEAM. Here's how to tell: Compare: CTBParamProb CTBProfileProb CTBLastLayerProb CTBTrackerProb CTBBestEnergyProb The one which matches is the method used for the event in question. CTBBestEnergy, CTBLogEnergy, and CTBBestEnergyProb summarize the final results

6 PSF Analysis IM "glue" to put events bact together and produce
Split according to Thick and Thin Layers: Tkr1FirstLayer (Thick) or 6-17 (Thin) IM "glue" to put events bact together and produce CTBBestXDir,YDir,ZDir and CTBCORE (the "good" PSF probability variable) CTs: Of Events with Valid VTX choose to use 1Tkr or VTX Solution: CTBVTX Split according to VTX Solution (VtxAngle > 0 && CTBVTX > .5 CTs: PSF Image Sharpening Produces CTBCORE Variable

7 PSF Analysis Results What CTBCOR Does On Axis can vary PSF by ~ 30%
(at the expense of Aeff) The 95/68 Ratio improves significantly cos(q) < -.95 cos(q) < -.2

8 How to Tell What You Have:
To tell which analysis branch you have - THICK or THIN? THICK == Tkr1FirstLayer < 5 THIN == !THICK Note: Tracks can not originate in Layers 0 and 1 - VTX or 1TKR ? VTX == VtxAngle > 0. && CTBVTX > .5 1TKR == !VTX Note: We could have used VtxStatus bits instead of VtxAngle CTBBestXDir,YDir,ZDir, CTBCORE summarize the results THIN Layers THICK Layers Cuts: CTBGAM > .5 && CTBBestZDir < -.95 && CTBBestEnergyProb > .35

9 Back Ground Rejection Evolution
- Use of only Classification Trees not adequate (Typ. Rejection Power ) - Improve Input to CTs via "typical" HEP Style cuts (Implemented as PreFilters) - Divide sample according type 1) Topology (VTX – 1Tkr) 2) Obs. Cal. Energy (use 6 ~log(E) bins) 3) Location (Lowest energy only) (Gives 14 Separate catagories) What's left is what CTs are poor at finding or Irreducible (start here) Results in a g Bkg. Rejection Prob. CTBGAM Class 3

10 First: Irreducible Back Grounds
Correlated Uncorrelated e+ Blanket Conversion Proton - Blanket Interaction > 60% Remaining background are from gs produced locally They are Irreducible

11 Second: Weakness in CT Analysis
Subsequent Search for "Hot Spots" in GLAST Phase space revealed - Correlated Events in the Top Elimination of Events which project back to Ribbons Cut Summary Bkg: % All Gam: % Top Ribbons More Ribbons Holes at the Top of Side Ribbons

12 Correlations among Variables
Heavy Ion Filter CTBBestEnergy > 1000 & ((CalTransRms - 1.5*Tkr1ToTTrAve) < 5) & CTBGAM > .5 What's Eliminated Cut Summary Bkg: % All Gam: % Scrambled Tracks Filter (Tkr1FirstLayer - Tkr2FirstLayer) <= 0 & Tkr2FirstLayer > 2 & Tkr2TkrHDoca > 10 & (CTBGAM+.16*CTBBestLogEnergy) < 1.32 Cut Summary Bkg: % All Gam: %

13 These Post-Processing Cuts can be found at:
This leaves an Aeff vs Energy with features (not good...). Smooth Response by "boosting" low energy CTBGAM : CTBGAM = min(1., CTBGAM*min(2.0, (3.5/min(CTBBestLogEnergy, 3.5))^2)) Base Class 3 – No Post-Processing Filters CTBGAM > .5 Base Class 3 – Post-Processing Filters & CTBGAM Boost at Low Energy CTBGAM > .5

14 Class 3 Class 3 Post Process Cuts +
Careful: Order of Plots different Top to Bottom

15 Demonstrations with DC2 Data from Galactic Anti Center Region (thanks to Julie)
Ooppsss - Almost forgot – The Limb g issue.... Rocked Backgrounds What's cut out: CTBGAM > .5 2216 evts Evts. in Common 277 evts Evts. Missed by BestZDir > -.3 127 evts Julie's Cut Bill's Original Cut Cut Used + ZDir < -.3 Evts. Missed by ZenithTheta > 100 32 evts. Residual Bkg. Evts. 436 Total Evts.

16 On with the show... Galactic Anti-Center: Class A – No Post Proc. Cuts

17 Class A Events + Post-Proc. Cuts

18 What was killed by Post-Proc. Cuts
The Fog of Back Ground...

19 Image Resolution The Geminga Pulsar Low Res. Good Res. Best Res.

20 Estimating Residual Backgrounds
The ~20k Background events remaining after PreFilters As with previous experiments – look for orbit associated modulation in signal. Use this as a measure of remaining contamination. Seems to be ~ 10% Need to "fold" all the orbits on top of each other – Hard due to multiple components and SAA (holes). Steve's suggestion: Profile residuals events vs the Trigger Rate

21 Summary DC2 Background Rejection gets us close... however
There is no factor of 2 left – the Irreducible Component Dominates Background Rejections is a "work-in-progress" We just ran out of time. We have made 3 complete passes so far and a Pass 4 is in the works. Most Analysis are not that sensitive to Background Contamination Thankfully residual backgrounds are essentially spread ~ uniformally across the sky. As such contamination in a few sq. degrees is small (part in 10-4) Work will continue and perhaps a "reprocessed" DC2 Dataset will appear prior to the DC2 Closeout (similar to real life) The instrument "hand-off" is approaching and we need to meet the Science Requirements by then.


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