Using kinematic distributions within EFTs Veronica Sanz (Sussex) - - PowerPoint PPT Presentation

using kinematic distributions within efts
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Using kinematic distributions within EFTs Veronica Sanz (Sussex) - - PowerPoint PPT Presentation

Using kinematic distributions within EFTs Veronica Sanz (Sussex) Higgs+jets (IPPP, Durham) Outline New Physics and EFTs Anomalous couplings vs EFTs The set-up Current status EFT->Models Limitations of EFTs New Physics


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Using kinematic distributions within EFTs

Veronica Sanz (Sussex) Higgs+jets (IPPP, Durham)

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Outline

New Physics and EFTs Anomalous couplings vs EFTs The set-up Current status EFT->Models Limitations of EFTs

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New Physics and EFTs

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The guide to discover New Physics may come from precision, and not through direct searches

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New Physics could be heavy as compared with the channel we look at Effective Theory approach

The guide to discover New Physics may come from precision, and not through direct searches

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New Physics could be heavy as compared with the channel we look at Effective Theory approach

The guide to discover New Physics may come from precision, and not through direct searches

2HDMs

Example.

ˆ s . 4M 2

Φ

H H† W † W (H†σaDµH) DνW a

µν

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Bottom-up approach

  • perators w/ SM particles and symmetries, plus the

newcomer, the Higgs

EFT

LBSM = LSM + Ld=6 + . . .

modification of couplings

  • f SM particles

Many such operators, but few affect the searches we do

Buchmuller and Wyler. NPB (86)

HDOs

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Bottom-up approach

  • perators w/ SM particles and symmetries, plus the

newcomer, the Higgs

EFT

Many such operators but few affect the searches we do

Example 1. LEP physics +

Ellis, VS, You. 1410.7703

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Bottom-up approach

  • perators w/ SM particles and symmetries, plus the

newcomer, the Higgs

EFT

Many such operators but few affect the searches we do

Example 2. LHC physics

  • perators not constrained by LEP

Ellis, VS, You. 1410.7703

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Anomalous couplings vs EFT

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Higgs anomalous couplings

−1 4h g(1)

hV V VµνV µν

−h g(2)

hV V Vν∂µV µν −1

4h ˜ ghV V Vµν ˜ V µν

HDOs generate HVV interactions with more derivatives parametrization in terms of anomalous couplings

Example.

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Higgs anomalous couplings

−1 4h g(1)

hV V VµνV µν

−h g(2)

hV V Vν∂µV µν −1

4h ˜ ghV V Vµν ˜ V µν

h(p1)

V (p2) V (p3)

iηµν ✓ g(1)

hV V

✓ ˆ s 2 − m2

V

◆ + 2g(2)

hV V m2 V

−i˜ ghV V ✏µναβp2,αp3,β −ig(1)

hV V pµ 3pν 2

HDOs generate HVV interactions with more derivatives parametrization in terms of anomalous couplings

Feynman rule for mh>2mV

Example.

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Higgs anomalous couplings

−1 4h g(1)

hV V VµνV µν

−h g(2)

hV V Vν∂µV µν −1

4h ˜ ghV V Vµν ˜ V µν

h(p1)

V (p2) V (p3)

HDOs generate HVV interactions with more derivatives parametrization in terms of anomalous couplings

Feynman rule for mh>2mV

Example.

total rates, COM, angular, inv mass and pT distributions

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Translation between EFT and Anomalous couplings

Alloul, Fuks, VS. 1310.5150 Gorbahn, No, VS. In preparation

−1 4h g(1)

hV V VµνV µν

−h g(2)

hV V Vν∂µV µν −1

4h ˜ ghV V Vµν ˜ V µν

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Translation between EFT and Anomalous couplings

Alloul, Fuks, VS. 1310.5150 Gorbahn, No, VS. In preparation

Within the EFT there are relations among anomalous couplings, e.g. TGCs and Higgs physics

similarly for QGCs: also function of the same HDOs

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The set-up

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Higgs BRs

eHDECAY

Contino et al. 1303.3876

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Higgs BRs

eHDECAY

Contino et al. 1303.3876

Production rates and kinematic distributions depend on cuts need radiation and detector effects

Simulation tools

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Higgs BRs

eHDECAY

Contino et al. 1303.3876

Production rates and kinematic distributions depend on cuts need radiation and detector effects

Simulation tools

Leff = X

i

fi Λ2 Oi

Collider simulation coefficients

  • bservables

Limit coefficients = new physics

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  • 1. Feynrules HDOs involving Higgs and TGCs

Alloul, Fuks, VS. 1310.5150

links to CalcHEP, LoopTools, Madgraph... HEFT->Madgraph-> Pythia... -> FastSim/FullSim

In this talk I use

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  • 1. Feynrules HDOs involving Higgs and TGCs

Alloul, Fuks, VS. 1310.5150

links to CalcHEP, LoopTools, Madgraph... HEFT->Madgraph-> Pythia... -> FastSim/FullSim

2.QCD NLO HDOs involving Higgs and TGCs

  • VS and Williams. In prep.

Pythia, Herwig... -> FastSim/FullSim

MCFM and POWHEG

In this talk I use

de Grande, Fuks, Mawatari, Mimasu, VS. In preparation for MC@NLO

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Looking for heavy New Physics current status

Ellis, VS and You. 1404.3667, 1410.7703

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Usual searches, HDOs affect momentum dependence: angular, pT and inv mass distributions dijet searches

Dijet angular distribution

ex.

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Usual searches, TGCs ex.

leading lepton pT

HDOs affect momentum dependence: angular, pT and inv mass distributions

  • growth at high energies

cutoff: resolve the dynamics of the heavy NP kinematic distribution best way to bound TGCs

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What about Higgs physics?

Using kinematics for NP : a non-SM HDO and some boost

ggF VH VBF +jets

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What about Higgs physics? ggF VH VBF +jets

Using kinematics for NP : a non-SM HDO and some boost

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Feynrules -> MG5-> pythia->Delphes3

verified for SM/BGs => expectation for EFT

ATLAS-CONF-2013-079

LHC8

50 100 150 200 250 2 4 6 8 10 12 pT HGeVL Nev LHC8 ATLAS VH

Kinematics of associated production at LHC8

simulation

¯ cW = 0.1

¯ cW = 0.05

SM inclusive cross section is less sensitive than distribution

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Global fit without VH with VH cW Besides, breaking of blind directions requires information on HV production

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TGCs constrains new physics too

ATLAS-CONF-2014-033

SM NP

  • verflow bin

we followed same validation procedure-> constrain HDOs

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Kinematic distributions in TGC and VH are complementary muhat+VH muhat+TGC all

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LO vs NLO, briefly

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10−5 10−4 10−3 10−2 10−1 100

dσ dpV

T [fb/20 GeV]

Z boson pT

SM ¯ cW = 0.01 NLO SM ¯ cW = 0.01 NLO

100 200 300 400 500 600 700

pV

T [GeV]

0.6 0.8 1.0 1.2 1.4

NLO LO

MCFM in development

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VBF, briefly

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Kinematics of VBF also modified yet more difficult discrimination

4 5 6 7 8 9 10 0.01 0.02 0.03 0.04 0.05 0.06 400 600 800 1000 1200 1400 1600 1800 2000 0.04 0.05 0.06 0.07 0.08 0.09

∆ηjj

mjj

LHC13 LHC13

SM ¯ cW = 0.1 SM ¯ cW = 0.1

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EFT->Models

Masso and VS. 1211.1320 Gorbahn, No and VS. In preparation

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EFT (linear realization) vs UV-completions

UV models

Example 1. tree-level operators radion/dilaton exchange Example 2. loop-induced operators 2HDM and SUSY spartners

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Example 1. Tree-level exchange

radion/dilaton

H H† W † W

Φ

g2

Φ

ˆ s M 2

Φ

' g2

Φ

M 2

Φ

✓ 1 ˆ s M 2

Φ

+ . . . ◆

HEFT

ˆ s . M 2

Φ

¯ cW ' ✓ mHv ΛMΦ ◆2

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Example 1. Tree-level exchange

radion/dilaton

H H† W † W

Φ

g2

Φ

ˆ s M 2

Φ

' g2

Φ

M 2

Φ

✓ 1 ˆ s M 2

Φ

+ . . . ◆

HEFT

D0

HIGGS-138

\

mV h

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SLIDE 40

Example 2. Loop-induced

2HDMs

H γ γ Z Z ˜ χ±

˜ τ ±

SUSY spartners

validity is now

ˆ s . 4M 2

Φ

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Example 2. Loop-induced

2HDMs

H γ γ Z Z ˜ χ±

˜ τ ±

SUSY spartners

General predictions:

Masso and VS. 1211.1320 Gorbahn, No and VS. In preparation

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2HDMs work in progress

LHC8 constraints:

  • ne order of magnitude better than a global fit
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Limitations of EFTs

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50 100 150 200 250 2 4 6 8 10 12 pT HGeVL Nev LHC8 ATLAS VH

¯ cW = 0.1

¯ cW = 0.05

SM most sensitive bin:

  • verflow (last) bin

At high-pT sensitive to dynamics of new physics breakdown of EFT To what extent can we use this bin?

see also Biechoetter et al 1406.7320 Englert+Spannowsky. 1408.5147 Dawson, Lewis, Zeng 1409.6299

how far does it extend?

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(GeV)

V T

p 200 250 300 350 400 450 500 (GeV)

VH

m 200 300 400 500 600 700 800 900 1000

LHC8

¯ cW = −0.025

Associated production VH

validity distribution

ΛNP ' gNP ( 0.5 TeV )

√c = gNP mW ΛNP

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Conclusions

Absence of hints in direct searches EFT approach to Higgs physics SM precision crucial: excess as genuine new physics Complete global fit at the level of dimension-six operators enhanced using differential information Higgs anomalous couplings: rates but also kinematic distributions Exploring the validity of EFT propose benchmarks Benchmarks correlations among coefficients, input for fit

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Kinematics of associated production

pTV is more sensitive than mVH to QCD NLO but effect not yet at the level of operator values we can bound

MCFM

VS and Williams. In prep.

Kinematics of associated production

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Boring and necessary details

Bottom-up approach:

  • perators w/ SM particles and symmetries,

plus the newcomer, the Higgs

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Boring and necessary details

Realization of EWSB Linear or non-linear

A

Bottom-up approach:

  • perators w/ SM particles and symmetries,

plus the newcomer, the Higgs

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Boring and necessary details

Realization of EWSB Linear or non-linear And the Higgs could be Weak doublet or singlet

A B

Bottom-up approach:

  • perators w/ SM particles and symmetries,

plus the newcomer, the Higgs

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Once this choice is made, expand...

1 Λ2

Integrating out new physics

v2 f 2

Non-linearity

U = eiΠ(h)/f

...order-by-order

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Leff = X

i

fi Λ2 Oi

OW = (DµΦ)†c W µν(DνΦ) OB = (DµΦ)†(DνΦ) b Bµν OW W = Φ†c W µνc WµνΦ OBB = (Φ†Φ) b Bµν b Bµν

For example, some operators Higgs-massive vector bosons ex.

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Leff = X

i

fi Λ2 Oi

OW = (DµΦ)†c W µν(DνΦ) OB = (DµΦ)†(DνΦ) b Bµν OW W = Φ†c W µνc WµνΦ OBB = (Φ†Φ) b Bµν b Bµν

For example, some operators Higgs-massive vector bosons UV theory: tree-level or loop may need a model bias

  • ex. SILH

2igcHW m2

W

(DµΦ†) ˆ Wµν(DνΦ)

Giudice, Grojean, Pomarol, Rattazzi. 0703164

C

ex.

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redundancies trade off operators using EOM

Choice of basis

And, finally

D

  • Observables as a function
  • f HDOs coefficients
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In summary

black global fit green one-by-one fit

In terms of Higgs’ anomalous couplings

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Global fit to signal strengths and kinematic distributions

  • 1. Breaking of blind directions requires

information on associated production (AP)

  • 2. Kinematic distributions in AP is as

sensitive (or more) than total rates Conclusions of the analysis

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Global fit to signal strengths and kinematic distributions

  • 1. Breaking of blind directions requires

information on associated production (AP)

  • 2. Kinematic distributions in AP is as

sensitive (or more) than total rates Conclusions of the analysis