status and prospects of the h → γγ analysis
DESCRIPTION
Status and Prospects of the H → γγ Analysis. Jim Branson - Marco Pieri - Sean Simon. UCSD Meeting March 11 th 2008 Updated for March 18th. Introduction. H → γγ analysis will start to be more important for Int L >~ 1 fb -1 - PowerPoint PPT PresentationTRANSCRIPT
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Status and Prospects of the H→γγ Analysis
Jim Branson - Marco Pieri - Sean Simon
UCSD Meeting
March 11th 2008
Updated for March 18th
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11-Mar-08 Marco Pieri 2
Introduction
H→ γγ analysis will start to be more important for Int L >~ 1 fb-1
UCSD has played a major role in the PTDR studies and is expected to play a major role in the next years
Other people/groups contributing are: Caltech, Lyon, Notre Dame, Rome, Saclay, UC Riverside, UCSD
For 2008 not much to be expected in H→ γγ channel In addition the ECAL calibration will not be optimal Related analyses: γ+jet, γγ from SM (except Higgs) – Should
collaborate more with people working on them Since about 1 month started revisiting the analysis framework to have it
more flexible and common with other analyses For now we ran over small MC samples: ~100k GamJet + ~100k Higgs +
~ 100k QCD + photonsJets + ~50k Dy All what shown here very preliminary News: In CMSSW 2_0_0 photons a 5 GeV Et cut an H/E cut at 0.2 is
proposed to be applied for reconstructing photons
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11-Mar-08 Marco Pieri 3
forward jets
Photons from Higgs decay
qqH → qqγγ MH = 120 GeV
H→ γγ Signal
SIGNAL: two isolated photons with large Et
Gluon-gluon fusion WW and ZZ fusion (Weak Boson Fusion) WH, ZH, ttH (additional leptons and MET) Total σ x BR ~95 fb for MH = 110-130 GeV Very good mass resolution
H → γγ MH = 115 GeV Jets from qq are at
high rapidity and large Δη
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11-Mar-08 Marco Pieri 4
BACKGROUND ‘irreducible’ backgrounds, two real photons
gg→ γγ (box diagram) qq→ γγ (born diagram) pp→ γ+jets (2 prompt γ)
‘reducible’ backgrounds, at least one fake photons or electrons pp→ γ+jets (1 prompt γ + 1 fake γ) pp→ jets (2 fake γ) pp→ ee (Drell Yan) when electrons are mis-identified as photons
Handles for Irredicible BG – Kinematics Handles for Reducible BG – Until now only Isolation
Should add photon identification (converted) and π0 rejection
Background to H→ γγ
Process Pthat (GeV) Cross section (pb) Events/1 fb-1
pp→γγ (born) >25 82 82K
pp→γγ (box) >25 82 82K
pp→ γ+jets >30 90x104 90M
pp→jets >25 1x108 1x1011
Drell Yan ee - 4x103 4M
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11-Mar-08 Marco Pieri 5
Cross section and K-factors
Signal cross sections and BR used for the PTDR (NLO M. Spira)
K-factors for the background used for the PTDR (to be re-evaluated if needed)
pp→γγ (born) 1.5
pp→γγ (box) 1.2
pp→ γ+jets (2 prompt) 1.72
pp→γ+ jets (1 prompt+ 1 fake) 1
pp→jets 1
M=115 GeV M=120 GeV M=130 GeV M=140 GeV M=150 GeV
σ (gg fusion)(pb) 39.2 36.4 31.6 27.7 24.5
σ (IVB fusion) (pb) 4.7 4.5 4.1 3.8 3.6
σ (HW, HZ, Hqq) (pb) 3.8 3.3 2.6 2.1 1.7
Total (pb) 47.6 44.2 38.3 33.6 29.7
BR (H→ γγ) 2.08x10-3 2.21x10-3 2.24x10-3 1.95x10-3 1.40x10-3
Inclusive σ x BR (fb) 99.3 97.5 86.0 65.5 41.5
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11-Mar-08 Marco Pieri 6
PTDR Mass Spectrum of Selected Events
All plots are normalized to an integrated luminosity of 1 fb-1 and the signal is scaled by a factor 10
Fraction of signal is very small (signal/background ~0.1) Use of background MC can be avoided when we will have data Data + signal MC can be used for optimizing cuts, training NN and
precise BG estimation
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11-Mar-08 Marco Pieri 7
CSA07 MC Samples
Requests at: https://twiki.cern.ch/twiki//bin/view/CMS/HiggsWGMCRequestsForHiggsToGamGam
Higgs Signal (Pythia) masses between 60 and 160 GeV (at Fnal, Cern, Lyon) gluon-gluon fusion, IVB fusion , WH, ZH, ttH
Background (and even Signal) started to came very late in 2007 at it is not yet complete + Two samples were forgotten and resubmitted at the end of January
GamJet, Twophoton_Box, DY - OK Twophoton_Born 450 K events Lyon - 1/2 of requested Jets_Pt50up 1.4 M events Cern - 1/6 of requested It would probably be good if the production was finished
HiggsTo2Gamma Skims of the soups available, we should start running on them
process pythia lev cuts gen level cuts gen sigma
sim sigma
gen level cuts reduction factor
# of gen evts
# of sim evts
Int L (fb-1)
gg->gamgam
(box) pthat>25 GeV none 36 pb 36 pb 1 1M 1M ~28
qq->gamgam (born)
pthat>25 GeV none 45 pb 45 pb 1 1M 1M ~22
pp->gam +jet pthat>25 GeV Special cuts (~sel B' in CMS IN 2005/018)
90 nb 0.6 nb ~150 300M 2M ~3.3
pp->jets pthat>50 GeV Special cuts (~sel C' CMS IN 2005/018)
24 ub 4.8 nb ~5000 50G 10M ~2.1
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11-Mar-08 Marco Pieri 8
Important Points – Reconstruction Level
Trigger and Skims L1 Trigger HLT Skims
Photon isolation
Primary Vertex estimation
Energy Measurement Ecal crystal calibration SuperCluster calibration Photon energy scale Energy Resolution and Error (maybe optional, was done
before)
Photon conversion identification and π0 rejection
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11-Mar-08 Marco Pieri 9
Electromagnetic trigger towers are classified in two categories depending on the energy deposition in the calorimeter trigger towers: non-isolated, isolated.
Nominal Low Lumi (2x1033 cm-2s-1) Single isolated
Et>23 GeV Double isolated
Et>12 GeV Double non-isolated
Et>19 GeV At startup thresholds lower
Total electron+photon Level-1 trigger rate ~ 4 kHz Level-1 trigger efficiency for H→ γγ larger than 99% Perhaps could still optimize the threshold at which all Isolation L1 cuts
are removed
Level-1 Trigger
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11-Mar-08 Marco Pieri 10
H → γγ signal has two isolated photons Dominant background from di-jets and γ+jet has at least one candidate
from jet fragmentation that is not well isolated
We keep early conversions in the double stream HLT trigger efficiency 88% - almost 100% for events selected in the
analysis Trigger is relatively easy for H→ γγ because of high Et photons Total rate for photons after HLT ~5 Hz Need to make some improvements, particularly for pre-scaled triggers,
try to add the double from single L1 HTL paths (also for electrons?)
HLT for Photons
PTDR HLT photon selectionNominal Low Lumi (2x1033 cm-2s-1)
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11-Mar-08 Marco Pieri 11
Skim for H→ γγ
I made a very simple skim selection last summer For now very simple:
Double Photon HLT .OR. Single Photon HLT with an additional SC – to easily study trigger efficiency
Will hopefully keep it simple forever Skimmed datasets not too large ~1-3 Hz for photons
RECO format planned to be used for now PDPhoton Skim higgsTo2Gamma files are at UCSD now We should run on them
No veto for electrons – Stream can also be useful to study electrons
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11-Mar-08 Marco Pieri 12
Reducible backrounds (π0’s and mis-identified jets) have other particles near at least one photon candidate
We are in process of repeating and improving the study we carried out for the PTDR
Most of discriminating variables are built by summing up the Et or Pt of calorimeter deposits or tracks within a cone
ΔR = (Δη2+ Δφ2)
To study the performance of isolation variables we use individual photon candidates match or not within ΔR < 0.2 to a prompt generator level photon
Signal is: 120 GeV H→γγ gg-fusion reconstructed photon with Et>30 GeV matched with a generated photon within ΔR<0.2, background is: a super-cluster with Et>30 GeV NOT matched with a generated photon
Low statistics for now, cannot really look at correlations Trigger (L1 and HLT) not included
Photon Isolation
ΔR
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11-Mar-08 Marco Pieri 13
Photon Isolation – Barrel – QCD pthat 80 – 120 GeV
Two possible views, first better for high purity, second better for high efficiency
Trigger not included
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11-Mar-08 Marco Pieri 14
Photon Isolation – Barrel – QCD pthat 50 – 80 GeV
Trigger not included
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11-Mar-08 Marco Pieri 15
Photon Isolation – Endcaps – QCD pthat 80 – 120 GeV
Trigger not included
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11-Mar-08 Marco Pieri 16
Photon Isolation – Endcaps – QCD pthat 50 – 80 GeV
Trigger not included
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11-Mar-08 Marco Pieri 17
Photon Isolation II
For low pthat, isolation much less effective Should study it better – need more statistics at low pthat Note that pre-selected QCD events below 50 GeV pthat not simulated
Run on Gumbo skims – already at UCSD
Some more checks must still be carried out Study the correlation between isolation variables and specify
benchmark selections for photons
For the PTDR analysis we used a Neural Network with 2, 3 or 5 of following inputs: ΔR of the 1st track with Pt>1.5 GeV/c Sum ECAL Et within ΔR<0.3 The shower shape variable R9
Sum HCAL Et within ΔR<0.35 Sum tracks Et within ΔR<0.2
We did not use kinematical information, easy to combine these variables with reconstructed mass and photons Et in an optimized H→γγ analysis
Repeat the study in the near future
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11-Mar-08 Marco Pieri 18
Primary Vertex Determination
New longitudinal interaction spread σ~7.5 cm (was 5 cm) Vertex estimated from the underlying event and recoiling jet In PTDR analysis the efficiency of determining the right vertex
was ~83% for H→ γγ events after selection Efficiency for the different types of background is similar and
basically irrelevant
First check of usage of identified converted photons – very preliminary
Currently we have datasets with no pileup Efficiency of reconstructing the right primary vertex ~98% on
all generated H→ γγ events
Must be compared with minimum bias events
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11-Mar-08 Marco Pieri 19
Primary Vertex Determination II
Process Eff (%)
H→γγ (gg fusion) 82
H→γγ (IVB fusion) 89
pp→γγ (born) 71
pp→γγ (box) 72
pp→γ+jet (2 prompt) 78
pp→γ+jet (1 prompt + 1fake) 86
pp→jets 90
PTDR low luminosity Efficiency of determining the primary vertex within 5 mm from the true one
PTDR analysis
Use old z beam spot 100 pb-1 calibration
CMSSW_1_6_7CSA07 MC
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11-Mar-08 Marco Pieri 20
Primary Vertex Determination III
Generator level plots for different track pt cuts are provided in the Extra slides
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11-Mar-08 Marco Pieri 21
Primary Vertex From Photon Conversions
At least 1 convpho identified
1 or 2 tracksAt least 1 selected convpho identified
Nearest convpho (or track) used
(Cheat)
All 51.1% 17.9% 51.1%
Vtx within 1 cm 20.1% 13.7% 24.3%
Vtx within 2 mm 12.3% 8.7% 15.7%
Selected converted photons: use only thosewith Mass <2 GeV, |z1-z2|<2cm
Choose Converted Photon with best e/p H→ γγ events passing PTDR selection
All reconstructed converted photons, 1 or 2 tracksBest e/p
Selected reconstructed converted photons, with 2 tracksBest e/p
CMSSW_1_6_7CSA07 MC
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11-Mar-08 Marco Pieri 22
Primary Vertex Studies
Wider longitudinal beam spot will: Worsen the Mass resolution for events with the wrong primary
vertex or no vertex Make easier the discrimination between different vertices using
tracks from converted photons Even with no pileup can already superimpose Higgs events and
minimum bias events and carry out all studies When we want to optimize primary vertex finding we can also
use the direction of the total tracks transverse momentum that should be opposite to the Higgs pt
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11-Mar-08 Marco Pieri 23
PTDR Selection for Cut-Based Inclusive Analysis
Photon selection: photon candidates are reconstructed using the hybrid clustering algorithm in the barrel and the island clustering algorithm in the endcaps ET1, ET2 > 40, 35 GeV |η|<2.5 Both photon candidates should match L1 isolated triggers with
ET > 12 GeV within ΔR < 0.5 Track isolation
No tracks with pt>1.5 GeV present within ΔR<0.3 around the direction of the photon candidate
Calorimeter isolation Sum of Et of the ECAL basic clusters within 0.06<ΔR<0.35 around
the direction of the photon candidate <6 GeV in barrel, <3 GeV in endcaps
Sum of Et of the HCAL towers within ΔR<0.3 around the direction of the photon candidate<6 GeV(5 GeV) in barrel (endcaps)
If one of the candidate has |eta|>1.4442 the other has to satisfy also: Sum of Et of the ECAL<3, Sum of Et of the HCAL<6 GeV
L1 + HLT inefficiency negligible after selection
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11-Mar-08 Marco Pieri 24
Higgs Mass Resolution
ECAL calibration for 100 pb-1
Peak resolution all selected events σfit 1.45 GeV, σfit 1.75 GeV Much worse than with ideal calibration, especially in endcaps
Barrel Endcaps
R9>0.93 R9<0.93
CMSSW_1_6_7CSA07 MC
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11-Mar-08 Marco Pieri 25
Higgs Photons Efficiency Plots
Top plots photon finding efficiency Bottom plots photon isolation efficiency (PTDR cuts)
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11-Mar-08 Marco Pieri 26
Higgs Mass – Primary Vertex Effect
Barrel
Endcaps
R9>0.93
R9<0.93
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11-Mar-08 Marco Pieri 27
γ+jet Background
Plots are normalized to an integrated luminosity of 1 fb-1 and the signal is scaled by a factor 10
BG seems similar to PTDR
Barrel Endcaps
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11-Mar-08 Marco Pieri 28
Fake Photons from Jets
We ran on very low BG statistics, did not yet estimate the two photon BG
Start studying the single photon efficiency and fake rate Will compare between QCD and γ + jets
Should evaluate the needs in terms of BG rejection and consequently optimize isolation
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11-Mar-08 Marco Pieri 29
QCD Fake Photon Rate – 1 pb-1
Trigger not included
Fake Photon Rate Fake Photon Rate after isolation
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11-Mar-08 Marco Pieri 30
Photon+jet Fake Photon Rate – 1 pb-1
Trigger not included??? Should check
Fake Photon Rate Fake Photon Rate after isolation
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11-Mar-08 Marco Pieri 31
Fake Photon Isolation Efficiency
Trigger not included
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11-Mar-08 Marco Pieri 32
One Photon Rate – 1 pb-1 Trigger not included
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11-Mar-08 Marco Pieri 33
ECAL Calibration and Photon Energy Scale
Crystal Intercalibration Electrons from W→eν decays will be used Also π0 and/or η will be used
In CMSSW 2_0_0 there will only be SC corrections, no photon nor electron corrections anymore
Photon energy scale being studied from μμγ by Lyon, Florida State University and Kansas State University
μμγ events can also be used for efficiency studies
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11-Mar-08 Marco Pieri 34
ECAL Calibration and Photon Energy Scale
Crystal Intercalibration Electrons from W→eν decays Also π0 (and perhaps η) will be used See for example presentation by V. Litvin at:
http://indico.cern.ch/conferenceDisplay.py?confId=29156 In CMSSW 2_0_0 there should only be new SC corrections, no
photon nor electron corrections anymore unless it will be shown that they are needed See for example presentation by Y. Maravin in:
http://indico.cern.ch/conferenceDisplay.py?confId=27059 Basically ready for Barrel, in progress for endcaps
Photon energy scale being studied from Z->μμγ (and Z->eeγ) See for example talk by S. Gascon at:
http://indico.cern.ch/conferenceDisplay.py?confId=27555
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11-Mar-08 Marco Pieri 35
Photon Conversions
Most of the work carried out by Nancy Marinelli and Notre Dame University
They are currently trying to choose the best candidate Some changes Photon Objects in CMSSW 2_0_0 In my opinion much more word needed in order to use them for
photon identification
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11-Mar-08 Marco Pieri 36
Recovery of early conversions currently removed by track isolation Probably difficult
Converted Photons and π0 rejection
Barrel Endcaps
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11-Mar-08 Marco Pieri 37
π0 Rejection
Converted photons can also be used for π0 rejection Start looking at the performance of the π0 rejection variables
that are provided in CMSSW since version 1_6_7 See for example presentation by A. Kyriakis in:
http://indico.cern.ch/conferenceDisplay.py?confId=20797
Start looking at the π0 rejection NN variables provided in CMSSW
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11-Mar-08 Marco Pieri 38
Important points – Analysis Level
Simulation – Signal an Background
Real analysis on data and related channels
Optimization of the Analysis
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11-Mar-08 Marco Pieri 39
Simulation
Background simulation Generator level preselection for fake photons has been studied and
used for CSA07 MC production The Lyon group is working with DiPhox authors to have a full NLO
irreducible BG simulation Anyway, be ready to carry out the analysis using the BG from data,
enough events from sidebands
Signal Simulation (common with other Higgs channels) We should get NLO/NNLO calculations in order to exploit at best the
signal topology: HNNLO for gluon fusion, M. Grazzini et al. VBFNLO for IVB fusion, D. Zeppenfeld et al.
Think about the requests for the next MC production with CMSSW Version 2
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11-Mar-08 Marco Pieri 40
Real analysis
Real analysis – take as much as possible from data Efficiency from data (Z->ee , Z->eeγ, Z->μμγ) Fake rate from data (important even if not crucial for H→ γγ) Use data (sidebands) to optimize the selection and to estimate the
BG properties Study of systematic errors
Only sources of tagged high Et photons Z->μμγ Z->eeγ
Related Analyses (to be studied since the beginning) γ+jet (Fake rate needed) γγ (Fake rate needed)
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11-Mar-08 Marco Pieri 41
Z + Z + , , ZZA clean source of photons, A clean source of photons,
can determine, with real data: can determine, with real data:
• Efficiency of photon triggers Efficiency of photon triggers
• Determination of photon energy scale Determination of photon energy scale
• Determination of photon id efficiencyDetermination of photon id efficiency
• Determination of photon energy corrections Determination of photon energy corrections
Z->μμγ
See for example talk by S. Gascon at:http://indico.cern.ch/conferenceDisplay.py?confId=27555
ALPGEN
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11-Mar-08 Marco Pieri 42
Z->eeγ
See presentation by Marat Gataullin at:http://indico.cern.ch/conferenceDisplay.py?confId=29791
Efficiency of the Photon ID cuts is 88%, but the background isalmost gone, 96% purity in the window 85 GeV < M(eeγ) < 95 GeV.Total yield: 4.6K events per 1fb-1
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11-Mar-08 Marco Pieri 43
Optimized Analysis
Coherently exploit the different production modes (signatures 1l, 2l, MET, VBF)
See if possible avoid using MC background also for these Add additional variables that were not used in the PTDR
because of the poor description of the LO generators that were used
Carry out optimized multivariate/multicategorized analysis
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11-Mar-08 Marco Pieri 44
Effect of Systematic Errors - PTDR
Input for CL calculation is: Background expectation from fit to the data (sidebands) Signal expectation from MCOrigin of systematic errors Error on the BG estimation (statistical from fit of sidebands +
uncertainty of the form of the fitted function) Error on the signal (theoretical σxBR, integrated luminosity,
detector + selection efficiency)Effect of systematic errors Systematic errors on the signal do not change the expected
discovery CL Systematic error on the signal makes exclusion more difficult Systematic error on the BG makes exclusion and discovery
more difficult
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11-Mar-08 Marco Pieri 45
Main Systematic Errors - PTDR
SIGNAL Theoretical error on cross
section times BR (~15%) Integrated luminosity (~5%) Higgs Qt distribution – effect
to be evaluated Selection efficiency (~10%)
Can assume a total of 20% (anyway not important in case of discovery)
Nevertheless systematic errors on the signal may cause the analysis to be less optimized
BACKGROUND Statistical error on the fit of
the sidebands (~0.3% for ~20 fb-1)
Systematic error on the shape of the fitted function (~0.3%)
No other errors when data available
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11-Mar-08 Marco Pieri 46
Outlook
We started revising the H→ γγ analysis framework so that it can also be used for all other analyses
We only ran over small samples for now We can now run on larger samples
We are also trying to organize the CMS-wide effort in order not to be alone in the analysis as it was for the PTDR
Getting other groups to contribute to the H→ γγ analysis
NEXT STEPS Continue the studies presented here Include HLT (and re-optimize it) in our analysis Need to re-optimize the basic selection for the cut-based analysis Study more converted photons and π0 rejection to see if they can be
used in the analysis Get NLO/NNLO description of the signal and rescale Pythia – Also check
ALPGEN, MC@NLO Look at all issues of the real analysis on data Look again at the optimization of the analysis
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11-Mar-08 Marco Pieri 47
End of the talk
End of the talk
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11-Mar-08 Marco Pieri 48
EXTRA
EXTRA
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11-Mar-08 Marco Pieri 49
Barrel – pthat 80 – 120 GeVTrigger not included
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11-Mar-08 Marco Pieri 50
Barrel – pthat 80 – 120 GeVTrigger not included
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11-Mar-08 Marco Pieri 51
Track Isolation BarrelTrigger not included
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11-Mar-08 Marco Pieri 52
Track Isolation EndcapsTrigger not included
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11-Mar-08 Marco Pieri 53
Ecal Isolation BarrelTrigger not included
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11-Mar-08 Marco Pieri 54
Ecal Isolation EndcapsTrigger not included
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11-Mar-08 Marco Pieri 55
Hcal Isolation BarrelTrigger not included
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11-Mar-08 Marco Pieri 56
Hcal Isolation EndcapsTrigger not included
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11-Mar-08 Marco Pieri 57
Generator Level, charged pt>1.5 GeV |eta|<2.5
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11-Mar-08 Marco Pieri 58
Generator Level, charged pt>0.3 GeV |eta|<2.5
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11-Mar-08 Marco Pieri 59
Just to remember – IVB fusion
Sasha Nikitenko:http://indico.cern.ch/getFile.py/access?contribId=24&sessionId=4&resId=0&materialId=slides&confId=30337http://indico.cern.ch/getFile.py/access?contribId=24&sessionId=4&resId=1&materialId=slides&confId=30337