Analyses of light higgs decays for the CLIC CDR

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ANALYSES OF LIGHT HIGGS DECAYS FOR THE CLIC CDR Tomas Lastovicka (Czech Academy of Sciences) Christian Grefe (CERN and University of Bonn) Jan Strube (CERN) Frederic Teubert (CERN) Blai Pie Valls (University of Barcelona)

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Tomas Lastovicka (Czech Academy of Sciences ) Christian Grefe (CERN and University of Bonn ) Jan Strube (CERN ) Frederic Teubert (CERN ) Blai Pie Valls (University of Barcelona). Analyses of light higgs decays for the CLIC CDR. Overview. CLIC environment H  bb - PowerPoint PPT Presentation

Transcript of Analyses of light higgs decays for the CLIC CDR

Page 1: Analyses of light  higgs  decays for the CLIC CDR

ANALYSES OF LIGHT HIGGS

DECAYS FOR THE CLIC CDR

Tomas Lastovicka (Czech Academy of Sciences)Christian Grefe (CERN and University of Bonn)

Jan Strube (CERN)Frederic Teubert (CERN)

Blai Pie Valls (University of Barcelona)

Page 2: Analyses of light  higgs  decays for the CLIC CDR

Overview CLIC environment H bb

Largest BF in the Standard ModelFlavour Tagging (in the presence of

background) H μμ

Coupling to second-generation fermions

Momentum resolution (in the forward region)

Summary

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Page 3: Analyses of light  higgs  decays for the CLIC CDR

The CLIC environment

CLIC_SID detectorSimilar to SiD

detector27 mm radius inner

vertex layer7.5 λ W-HCAL barrelTracking coverage

down to 10°

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The CLIC beams 0.5 ns bunch spacing 312 bunches / train 50 Hz train repitition rate

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Backgrounds at CLIC 19 TeV from 1.2 TeV in a 10ns readout window

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The CDR benchmark point Signal channelChannel Cross Section

(fb)285

15

1305

5255

3076

3341

0.12

132

5.4

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Standard ModelmH=120 GeV

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Setup Whizard 1.95 for generation of signal

events Pythia 6.4 for hadronisation 60 BX mixed in GEANT 4 simulation Full reconstruction (PandoraPFA)

100 ns readout window in HCAL barrel10 ns everywhere else

2 / ab measurement

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Higgs decays to bottom and charm

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Page 9: Analyses of light  higgs  decays for the CLIC CDR

Pre-selection FastJet kt algorithm,

Rmax=0.7Try to force into two

jetsDurham algorithm

fails in presence of background

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Flavour Tagging LCFI with FastNN neural net

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Event selection Supplement flavour

tagging network w/ additional variables

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Results Cut-and-count method Measure signal and background events

in “signal box” (NN cut) Change definition from b to background

and c to signal to measure h cc

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Signal efficiency 54.6 % 15.2 %

Stat. Uncertainty 0.22 % 3.24 %

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Higgs decays to muons

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Page 14: Analyses of light  higgs  decays for the CLIC CDR

Higgs decay to muons Rare decay, BF ~ 10-4

Tests excellent momentum resolution

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Page 15: Analyses of light  higgs  decays for the CLIC CDR

Analysis Strategy Reconstruct two identified

muons Boosted Decision trees

classifier Likelihood fit

Bonus Electron Tagging study Muon momentum resolution

study

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Results

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BDT helps with low signal efficiency of rectangular cuts

Average of three independent likelihood fits

Signal efficiency 25 %

Stat. Uncertainty 23 %

Page 17: Analyses of light  higgs  decays for the CLIC CDR

Electron Tagging in the forward region

LumiCal (Θ > 3.5°)Assume 95% rejection

BeamCal (Θ > 1.7°)Assume 50% rejection

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Momentum resolution

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Summary CLIC background adds a significant

challenge to reconstruction Benefits of large cross sections still

outweigh Measurements of SM Higgs decays

serve as excellent tools for detector (and reconstruction) benchmarking

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Signal efficiency 54.6 % 15.2 % 25 %

Stat. Uncertainty 0.22 % 3.24 % 23 %

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Supplementary Material

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Muon identification

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