Data results for inclusive all-hadronic (RAwith 318 nb-1

SUSY Hadronic/GMSB Meeting 27-08-10

smaria@cern.ch

[C. Rogan et al.]

Data Plots Towards Jamboree

Introduction and full analysis path + full MC analysis shown by Chris yesterday

http://indico.cern.ch/conferenceDisplay.py?confId=105112

AN- will appear very soon (possibly next week)

CMS DATA

Fully-Inclusive Hadronic SUSY Search [C.Rogan et. al.]

New variables to be used together for discovery and characterization of SUSY

Doesn’t involve MET Uses both transverse and

longitudinal information Peaks for signal events -

falls exponentially for backgrounds

Dimension-less - for S/B discrimination

Suppresses backgrounds and shapes distributions in the variable in a predictable and well-understood way - the Razor

SUSY LM1

Alpgen QCD

http://indico.cern.ch/conferenceDisplay.py?confId=93857http://indico.cern.ch/conferenceDisplay.py?confId=105112

http://indico.cern.ch/conferenceDisplay.py?confId=95896

http://arxiv.org/abs/1006.2727

N.B. Good Data/MC agreement w/ ALPGEN -

NOT w/ Pythia (see backup)

Analysis using these variables sensitive to SUSY LM1 with ~10 pb-1 of data for PF jet, Calo jet and/or Track jet analysis (JPT in progress)

PF Jets Track Jets Calo Jets

MR Peaks for signal events - falls

exponentially for backgrounds in all cases

(see also back-up)

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Exponential behavior

invariant under cleaning

procedure

Min-Bias data from June 16th ReReco

Variables robust against detector mis-measurements/noise/spurious effects

Data/MC comparisons in control regions towards background estimations (Loose R

cuts + different control regions = over-constrained bkg yields in signal region)

BACK-UP SLIDES

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Selection/Sample Details

For everything shown in this talk: 7 TeV MC (see back-up slide for list of samples) 7 TeV Data (up to run 140387 right now ~318 nb-1) OR of HT200 and Jet110 triggers (for the moment) PF MET used (tcMET or corrected caloMET fine too) Require di-jets satisfying (parallel analyses):

NO explicit lepton/photon reco or ID in constructing these variables If > 2 reco jets, form two hemispheres by minimizing invariant masses

added in quadrature (see back-up slides)

Corrected Calo jets Corrected PF jets Uncorrected Track jets

Loose jet ID Loose jet ID Only high quality tracks w/ vertex consistent

with reco PV considered for clustering

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The Razor in data (I)PF jets

MR and R in Data (II)

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CMS DATAAlpgen QCD MC

Behavior of MR and R is confirmed with data both qualitatively and quantitatively

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Loose R, PF Jet Analysis (318 nb-1)

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Loose R, PF Jet Analysis (318 nb-1, )

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Tighter R, PF Jet Analysis (318 nb-1)

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Tighter R, PF Jet Analysis (318 nb-1)

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Towards Backgrounds Estimations

Using a loose R-cuts we have a QCD dominated sample which we can use to measure the QCD slope, as a function of R-cut, in the low MR region

Can do this in any region with QCD population in low MR

QCD background control sample from data

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SUPER-PRELIMINARY Discovery Potential

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3 Observation 5 Discovery

Here, we look at estimated sensitivity for a PF Jets based search, doing a counting experiment and estimating systematic uncertainty assuming ratios of

events in control regions to signal region (conservative estimate)Sensitivity comparable for each jet type considered