S. Chakrabarti (K. Tschann-Grimm, Y. Hu, P. Grannis ) SUNY @ Stony Brook

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S. Chakrabarti (K. Tschann-Grimm, Y. Hu, P. Grannis) SUNY @ Stony Brook Search for the SM Higgs boson in jj final state NSF Site Visit Nov. 19, 2009

description

Search for the SM Higgs boson in tt jj final state. S. Chakrabarti (K. Tschann-Grimm, Y. Hu, P. Grannis ) SUNY @ Stony Brook. NSF Site Visit Nov. 19, 2009. Outline. Motivation Preselection Multivariate Method Results Summary. - PowerPoint PPT Presentation

Transcript of S. Chakrabarti (K. Tschann-Grimm, Y. Hu, P. Grannis ) SUNY @ Stony Brook

Page 1: S.  Chakrabarti (K. Tschann-Grimm,  Y. Hu,  P. Grannis ) SUNY @ Stony Brook

S. Chakrabarti(K. Tschann-Grimm, Y. Hu, P. Grannis)

SUNY @ Stony Brook

Search for the SM Higgs boson in jj final state

NSF Site Visit Nov. 19, 2009

Page 2: S.  Chakrabarti (K. Tschann-Grimm,  Y. Hu,  P. Grannis ) SUNY @ Stony Brook

Outline

•Motivation

•Preselection

•Multivariate Method

•Results

•Summary

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Analysis presented here is for 3.9 fb-1 from Run 2b(combine with similar search in Run IIa with 1.0 fb-1

Page 3: S.  Chakrabarti (K. Tschann-Grimm,  Y. Hu,  P. Grannis ) SUNY @ Stony Brook

Motivation

• The channels involving tau decays of either Higgs or W/Z have about half the XS *BR as the W(lv)H(bb) or Z(vv)H(bb), so add measurably to Higgs sensitivity

• Simultaneous search for associated VH production and Vector Boson Fusion (VBF)/ gluon gluon fusion (GGF) signals

• First Tevatron search for SM Higgs in tau final states

• Mainly sensitive at low mass

• Discuss here mainly the Run 2b analysis (3.9 fb-1); then combine with published Run 2a result (1.0 fb-1)

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low high

Higgs in jj final states - Chakrabarti

Higgs production

Higgs decays

Page 4: S.  Chakrabarti (K. Tschann-Grimm,  Y. Hu,  P. Grannis ) SUNY @ Stony Brook

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L= 3.9 fb-1

Higgs in jj final states - Chakrabarti

Signal channels

Z() H(bb)

H() Z(qq)

H() W(qq’)

VBF: qqq’q’WWq’q’H()

GGF: ggH()+2jets

VH/VBF→jj

Event Preselection Only one isolated muon, pT>15 GeV(from

decay) One hadronic tau candidate, pT>15 GeV

At least two jets pT>20 GeV and ||<3.4 Opposite sign mu-tau pair requirement Veto on electrons spatial separation of jets, , No b tagging (allow W/Z qq’)

At preselection

Page 5: S.  Chakrabarti (K. Tschann-Grimm,  Y. Hu,  P. Grannis ) SUNY @ Stony Brook

Multivariate Analysis

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Higgs in jj final states - Chakrabarti

Comparison of data and MC for 3 of BDT input variables (at preselection level):

No single variable allows good separation of (very small) signal and background. Select 17 well-modeled variables to train Boosted Decision Trees (BDT)* to differentiate signal/background.

ST= |pT| for ,, jets, MET C= HT/HE where HE(HT) is scalar sum of total energy (transverse energy) for all jets

* DTs are iteratively trained learning networks in which events are sorted into ‘signal-like’ and ‘background-like’ nodes using successive selections on some input variable. Boosting is a technique of weighting those events that are misclassified more heavily in the next iteration.

Page 6: S.  Chakrabarti (K. Tschann-Grimm,  Y. Hu,  P. Grannis ) SUNY @ Stony Brook

BDTs for ττjj selection

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32 BDTs trained: one for each of 4 signals (VBF and GGF done together) with respect to each of 4 bkgds (ttbar, W+jets, Z+jets, Multijet). Train for low (<135 GeV) and high (>135 GeV) Higgs mass.

Representative BDT outputs for HW signal vs tt, W+jets, multijet background:

HW vs tt HW vs W+jets HW vs MJ

Signal (dotted histogram) tends to high BDT; bknd being trained against (stacked colored histogams) tend to low BDT.

Page 7: S.  Chakrabarti (K. Tschann-Grimm,  Y. Hu,  P. Grannis ) SUNY @ Stony Brook

Max BDT

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Max BDT ttbar Max BDT W+jets

Higgs in jj final states - Chakrabarti

For each background j (j = tt, W+jets, MJ), use the Maximum BDT output BDTj = maxi BDT(i,j) over signals (i = ZH, HZ, HW, VBF).

Final selection sample is obtained after cuts on BDTj (>-0.2, >-0.2, >0). Z+jets background is not well discriminated since its event topology is similar to the signals.

Max BDT MJ

Signal tends toward high MaxBDT; backgrounds tend to small MaxBDT

Page 8: S.  Chakrabarti (K. Tschann-Grimm,  Y. Hu,  P. Grannis ) SUNY @ Stony Brook

Weighted Avg BDT for Zjets

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After the MaxBDT cuts, form a final variable for limit setting from the Z+jets BDTs averaged over signals:

BDTZjets = i*BDT(i, Zjets)/ i (i = XS*BR*Acceptance for signal i)

Low MH

Use BDTZjets distribution for final limit setting. Use modified frequentist method: Form log likelihood ratios (LLR) from the BDTZjet

distributions to conform to Bknd only or Signal+bknd over many pseudo experiments. Obtain CLb (CLs+b) for B (S+B) to be less likely than observed. Scale up signal until CLs=CLs+b/CLb reaches 5% to obtain signal 95% CL limits.) The pseudoexpts allow fluctuations within statistical and systematic uncertainties (correlations included). Major systematics: energy scale (4.5%) Lumi (6.1%),

MJ bknd (15%) Cross sections (~10%), jet energy scacle(7.5%)

Yields after MaxBDT cuts:

Page 9: S.  Chakrabarti (K. Tschann-Grimm,  Y. Hu,  P. Grannis ) SUNY @ Stony Brook

Limits

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Run 2b results: LLR (more negative is more signal-like). Black dotted curve is LLR expected if Bknd only (green/yellow for ±1, ±2bands) and black solid line is observed in our data.

Corresponding expected and observed 95% CL XS limits/(SM expectation) (Run 2b only)

Combine with Run 2a result (PRL 102, 251801 (2009)) to get limits for 4.9 fb-1. For MH=115 GeV, expected/observed limit ratio to SM is 16/27.

Run 2b

Page 10: S.  Chakrabarti (K. Tschann-Grimm,  Y. Hu,  P. Grannis ) SUNY @ Stony Brook

Summary

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Higgs in jj final states - Chakrabarti

First results for Higgs search with tau final states

This analysis included in the combined Tevatron limits (3/09)

below.

Sensitive at low mass; 95% CL limit currently 27x SM prediction

Update and improve with >6 fb-1 for Moriond 2010 and

publication with echannel