Studies of J et S hapes and S ubstructure with ATLAS Adam Davison University College London

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Studies of Jet Shapes and Substructure with ATLAS Adam Davison University College London

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Studies of J et S hapes and S ubstructure with ATLAS Adam Davison University College London. ATLAS. Recorded ~5 fb -1 of 7 TeV pp collisions from the LHC Highly granular calorimetry (down to 0.025x0.025 in η-φ ). Jets at ATLAS. At the LHC jets are everywhere - PowerPoint PPT Presentation

Transcript of Studies of J et S hapes and S ubstructure with ATLAS Adam Davison University College London

Page 1: Studies of  J et  S hapes and  S ubstructure with ATLAS Adam Davison University College London

Studies of Jet Shapes and Substructure with ATLAS

Adam Davison

University College London

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• Recorded ~5 fb-1 of 7 TeV pp collisions from the LHC

• Highly granular calorimetry (down to 0.025x0.025 in η-φ)

ATLAS

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Jets at ATLAS

• At the LHC jets are everywhere

• ATLAS primarily uses anti-kt jets with R = 0.4 and 0.6

– Other algorithms available for specialised needs

• Rich series of jet physics publications from ATLAS already– Inclusive jets, dijets, multijets, b-jets, azimuthal correlations etc…

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Inside a Jet

• Jets can contain a lot of complex physics– Non-perturbative effects like fragmentation and hadronisation

– Hard process, colour connections, UE, pile-up

– Massive particle production (b, c, W, Z, top etc…)

• Measurements of the internal structure of jets can help us test models and tunes for all of these

• Good models of all of these a necessity for BSM searches

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Jet Shapes

• Jet shapes are the classic test of the internals of jets

• Measure the fraction of a jet’s pt which is within an annulus

• Formally, measure the quantity:

pT in annulus

pT of jet

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Jet Shapes

• Results released 2010, now published:

• Phys. Rev. D83 (2011) 052003

• More recently, newer tunes tested

• ATL-PHYS-PUB-2011-010

2.4.2

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Fragmentation

• Can also study the distribution of charged particles

the jet (jet)

a track (ch)

• Distribution of energy parallel or transverse to jet axis:

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FragmentationEur. Phys. J. C 71 (2011) 1795

• Distributions are reasonably well modelled

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Jet Mass and Substructure

• Jets are 4-vectors, for example (E/pT, η, φ, m)

• Of these, mass is probably the least studied

• At the LHC, lots of interest in jet mass and substructure– Especially large radius jets

– Jets can contain boosted W, Z, top …

– … and potentially new physics

• Measurements targetted at this

ATLAS-CONF-2011-103

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Jet Mass and Substructure

• Looking at Cambridge-Aachen R=1.2 and anti-kt R=1.0

• Jet mass measured for jet pt of 200 – 600 GeV

http://arxiv.org/abs/1203.4606

• Systematics determined in-situ using inner-detector track jets

• Herwig++ didn’t describe this terribly well in version 2.4.2

New Results!

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Jet Mass and Substructure

• Also look at application of a substructure procedure:

Splitting and filtering a laPRL 100, 242001 (2008)

Less sensitive to soft physics, observe better agreement than in plain jet mass

http://arxiv.org/abs/1203.4606

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Jet Mass and Pile-up

• Looking at mean mass vs. pile-up

• Splitting/filtering reduces dependence significantly

http://arxiv.org/abs/1203.4606

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Jet Mass and Substructure

• Also look at kT splitting scales (aka y-scales, d12)

• Measure of scale at which a jet breaks into two subjets

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Jet Mass and Substructure

• n-subjettiness, new variable (arXiv:1011.2268 (2011) Thaler, Tilburg)

More like 3 subjets than 2

Sum distances from constituents to 2 or 3kt subjet axes

Take ratio of sums

http://arxiv.org/abs/1203.4606

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Conclusions

• ATLAS has made many measurements of internals of jets– Jet shapes (Phys. Rev. D83 (2011) 052003)

– Jet fragmentation (Eur. Phys. J. C 71 (2011) 1795)

– Jet mass and substructure variables (arxiv:1203.4606)

• All available in HepData (in a week-ish for jet mass)

• Variables designed for new physics searches appear to be well modelled generally by Monte Carlo

• More to come with 8 and 14 TeV