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Update on the Diphoton + MET Analysis Bruce Schumm, channeling Ben Auerbach (Argonne), Osamu Jinnouchi (Tokyo Tech), Susan Fowler (Penn) UC Santa Cruz / SCIPP 6 March 2014 SUSY General Analysis Meeting
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06 March 20142 Conference Note public in early January: Search for Supersymmetry in Diphoton Events with Large Missing Transverse Momentum in 8 TeV pp Collision Data with the ATLAS Detector ATLAS-CONF-2014-001 List of Tasks generated to move from note to paper…
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04 June 20133 First: MC performance on tight-tight sample LocHadTopo has slightly larger tails than MetRefFinal
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04 June 20134 QCDtg+Iso close to tight-tight (signal) distribution proxy for high MET QCDtg provides good representation of tight-tight MET distribution QCDg+Iso also looks good but statistics are low.
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04 June 20135 For LocHadTopo, both QCDtg and QCDg seen to provide a good representation of the tight-tight MET distribution (again, using QCDtg-Iso as a proxy at high MET)
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16 July 20136 Next: Signal Regions We define five signal regions, for: Strong production, high and low bino mass (SP1,SP2) Weak production, high and low bino mass (WP1,WP2) Choose MET cut to suppress backgrounds (MIS)
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04 June 20137 Direct Background Estimate Methodology ACB e.g. for signal region WP2 Estimate = C*(A/B) Nominal control sample is QCDtg_50_noIso This is METRefFinal; can also look at QCDtg and QCDg of LocHadTopo MetRefFinal
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19 December 20128 Nominal QCD Background Control Region Study
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19 December 20129 We have performed the WP2 QCD background estimate without the \dphij cut, finding that the expected background rises from $0.90 \pm 0.35$ to $1.7 \pm 0.5$. It should be noted that the background would be expected to rise with the removal of the \dphij cut; if the `gg' distribution of Fig.~\ref{fig:dphij} is the correct distribution of the WP2 QCD background, this increase would be about 20\%, to 1.1 events. The observed value of 1.7 events is approximately 50% higher than this, which we interpret as an additional 50% systematic uncertainty on both the WP2 and MIS QCD background estimates. DPHI_JET_MET SYSTEMATIC
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19 December 201210 QCDg+Iso Comparison LocHadTopo Comparison
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16 July 201311 SP1 M eff Extrapolations
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16 July 201312 SP2 M eff Extrapolations
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16 July 201313 Combining all the above information yields the following overall result for QCD background (See Note for justifications…)
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04 June 201314 Electroweak Backgrounds (W , ttbar, etc.) ~75% involve e fake; much of remainder incorporated in QCD backgrounds Reconstruct e sample; scale by measured e fake rate +/- 25% uncertainty from non e fake processes +/- 10% uncertainty from fake rate measurement
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04 June 201315 e Fake Rate Results
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04 June 201316 e Sample Statistics and EW Background Estimates
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04 June 201317 Irreducible Backgrounds Z ; Z Small contribution NLO K-factor 2.0 +/- 0.3 (well understood) Estimate directly from MC W ; W l Larger contribution NLO K-factor 3.0 +/- 3.0 Dominant background systematic Constrain with new data-driven study
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04 June 201318 W K Factor http://arxiv.org/pdf/1103.4613v1.pdf LO “radiation zero” eliminated at NLO Grows with hardness of radiation Rapidly-varying function of W system recoil
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04 June 201319 Can we constrain the W K factor with an lgg (l = e, ) sample? Ben Auerbach
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04 June 201320 Choose study region to be 50 < MET < 250 (leave MIS signal region blind) P T (l ) > 100 Ben Auerbach N expected = 7.4 (6.5 W ) N observed = 7.0 K factor of 3.0 +\- 1.2
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16 July 201321 Irreducible background results And then putting it all together…
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16 July 201322 60 < MET < 100 Sideband Studies – No Dphi cut 100 < MET < 150 Sideband Studies – No Dphi cut
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16 July 201323 60 0.5 100 0.5
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16 July 201324 Wrap-Up Preliminary estimates of background completed Note updated with new background studies (nearly done) ATL-COM-PHYS-2013-109 Addressing comments from prior review (before p1328/p1181 MET changes that threw us back) Starting to build toward request for unblinding In the mean time, are developing limit-setting approach, and beginning to evaluate signal systematics
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04 June 201325 MET Issues Are latest (“post-Moriond”?) object definitions included in p3128 EGamma10NoTauLoose MET? We will need in any case to assemble our own “fluctuated” EGamma10NoTauLoose in order to do systematic studies But for now, background estimates largely insensitive to MET systematics (data-driven), so could use intrinsic p1328 variable if “approved” Will definitely need to be able to assemble EGamma10NoTauLoose from scratch soon though.
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