1. Data results for inclusive all-hadronic (RA  with 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)

2. 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=93857 http://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)

3. 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)

4. 4 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)

5. BACK-UP SLIDES

6. 6 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 jetsUncorrected Track jets Loose jet ID Only high quality tracks w/ vertex consistent with reco PV considered for clustering

7. 7 The Razor in data (I) PF jets

8. M R and R in Data (II) 8 CMS DATA Alpgen QCD MC Behavior of M R and R is confirmed with data both qualitatively and quantitatively

9. 9 Loose R, PF Jet Analysis (318 nb -1 )

10. 10 Loose R, PF Jet Analysis (318 nb -1, )

11. 11 Tighter R, PF Jet Analysis (318 nb -1 )

12. 12 Tighter R, PF Jet Analysis (318 nb -1 )

13. 13 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 M R region  Can do this in any region with QCD population in low M R QCD background control sample from data

14. 14 SUPER-PRELIMINARY Discovery Potential 14 3  Observation5  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