Transcript Slide 1

Data results for inclusive all-hadronic (RAp) with 318 nb-1
Data Plots Towards Jamboree
SUSY Hadronic/GMSB Meeting 27-08-10
[email protected]
[C. Rogan et al.]
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)
Fully-Inclusive Hadronic SUSY Search [C.Rogan et. al.]
New variables to be used together for discovery and characterization of SUSY
 Dimension-less - for S/B
discrimination
 Suppresses backgrounds
and shapes distributions in
the variable
in a
predictable and wellunderstood way - the Razor
 Doesn’t involve MET
 Uses both transverse and
longitudinal information
 Peaks for signal events falls exponentially for
backgrounds
N.B. Good Data/MC
agreement w/ ALPGEN NOT w/ Pythia (see backup)
http://indico.cern.ch/conferenceDisplay.py?confId=95896
http://indico.cern.ch/conferenceDisplay.py?confId=93857
http://indico.cern.ch/conferenceDisplay.py?confId=105112
http://arxiv.org/abs/1006.2727
SUSY LM1
Alpgen QCD
CMS DATA
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)
MR Peaks for signal
events - falls
exponentially for
backgrounds in all cases
(see also back-up)
PF Jets
Track Jets
Calo Jets
Min-Bias data from June 16th ReReco
Variables robust against detector
mis-measurements/noise/spurious effects
Exponential
behavior
invariant under
cleaning
procedure
Data/MC comparisons in control regions
towards background estimations (Loose R
cuts + different control regions = overconstrained bkg yields in signal region)
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BACK-UP SLIDES
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):
Corrected Calo jets
Loose jet ID
Corrected PF jets
Loose jet ID
Uncorrected Track jets
Only high quality tracks
w/ vertex consistent
with reco PV considered
for clustering
 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)
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PF jets
The Razor in data (I)
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MR and R in Data (II)
Alpgen QCD MC
CMS DATA
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
QCD background control sample from data
 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
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SUPER-PRELIMINARY Discovery Potential
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
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