Jet Mass Spectrum for Groomed and Ungroomed Top Jets Iain Stewart - - PowerPoint PPT Presentation

jet mass spectrum for groomed and ungroomed top jets
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Jet Mass Spectrum for Groomed and Ungroomed Top Jets Iain Stewart - - PowerPoint PPT Presentation

Jet Mass Spectrum for Groomed and Ungroomed Top Jets Iain Stewart MIT based on: Hoang, Mantry, Pathak, IS ( 1708.02586 + ongoing work ) Sante Fe Jets and Heavy Flavor W orkshop January 2018 1 model this Outline 0.012 d 0.010


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SLIDE 1

1

Jet Mass Spectrum for Groomed and Ungroomed Top Jets

Iain Stewart MIT

Sante Fe Jets and Heavy Flavor W

  • rkshop

January 2018 based on: Hoang, Mantry, Pathak, IS (1708.02586 + ongoing work)

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SLIDE 2

Outline

  • Motivation for Studying Top Jets:

Top Mass from Jet Mass measurement Quantify Soft Effects

  • Factorization Theorems: Ungroomed and Groomed

Calibration of Monte Carlo and Comparisons Conclusion

172 174 176 178 180 0.002 0.004 0.006 0.008 0.010 0.012

dσ dM

M

mt

M peak model this tion corrections M 2 =

i∈J

i

2

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SLIDE 3

1

H

:

t

t

The Top Quark is Special

  • Largest Mass Largest Higgs Coupling

H ∝ mi i i Dominates Higgs Production

  • The only quark that decays before it binds into a hadron

Top width

t → bW Γt = 1.4 GeV >

ΛQCD 0.3 GeV

confinement scale

u d u

mt = 173 GeV

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SLIDE 4

1

H

:

t

t

The Top Quark is Special

  • Largest Mass Largest Higgs Coupling

H ∝ mi i i Dominates Higgs Production

  • The only quark that decays before it binds into a hadron

Top width

Γt = 1.4 GeV >

ΛQCD 0.3 GeV

confinement scale

u d u

mt = 173 GeV

Breit Wigner

1 q2−m2

t

mt

2 + Γ2

t

mt

t → bW

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SLIDE 5

Why should I care about a precision ?

mt Stability of the Standard Model vacuum!

mt

mHiggs

uncertainty dominated by mt

Andreassen, Frost, Schwartz Butazzo, Degrassi, Giardino, Giudice, Sala

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SLIDE 6

6

Precision Electro-weak Measurements Indirect Global Fit Direct Measurements

Gfitter group, 2014

  • t
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SLIDE 7

t

measured from jets with help of Monte Carlo simulations

Heaviest known elementary particle. As heavy as 180 protons!

mt = 172.84 ± 0.70 mt = 172.44 ± 0.49 mt = 174.34 ± 0.64

Tevatron CMS ATLAS GeV GeV GeV

MC

MC MC

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SLIDE 8

8

Direct Reconstruction Methods (Tevatron & LHC)

t

¯ t

b-jet

b-jet

jet jet jet

jet

p

p

Kinematic Fit: m2

t = p2 t = (pJb + pJ1 + pJ2)2

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SLIDE 9

t

¯ t

hadrons

Λshower = 1 GeV

9

Theory (QFT) Experiment Simulation

(Monte Carlo)

mpole

t

, mt, mMSR

t

, . . .

mMC

t

Definition ?

mt = mMC

t

+ ? an additional uncertainty ∼ 1 GeV

L :

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SLIDE 10

10

Mass Definitions:

  • Pole Mass

Mass that naturally appears in Breit Wigner. Has a (renormalon) ambiguity ∝ 1 p / − mpole

t

∆mpole

t

∼ ΛQCD

Mass

MS

  • mt

Not compatible with Breit Wigner. No Ambiguity. X mpole

t

= mt + 0.4 αsmt + . . .

  • 7 GeV Γt = 1.4 GeV
  • MSR Mass

mMSR(R)

(Hoang, Jain, Scimemi, IS, 2008)

a mass which nicely interpolates

No Ambiguity Breit Wigner R ∼ Γt R > ΛQCD

  • take R = 1 GeV
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SLIDE 11

11

Soft Effects in

Perturbative soft radiation Hadronization MPI / Underlying Event

t

¯ t

hadrons

t

¯ t

b-jet

jet jet

p p

pp → t¯ tX

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SLIDE 12

pp → t¯ t

Soft Effects can be significant. eg. Jet Mass in Pythia

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SLIDE 13

Theory Issues for

  • suitable top mass scheme for jets
  • initial state radiation

final state radiation jet observable underlying event/MPI color reconnection parton distributions

  • sum large logs

Q mt Γt

pp → t¯ tX

Production Energy

ΛQCD

Γt 1.4 GeV

Q = 2pT ∼ 1 TeV

mt = 173 GeV

  • hadronization
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SLIDE 14

14

First simplification:

  • boosted top quarks,

Q = 2pT mt

enables us to be inclusive over decay products t

ΛQCD

Γt 1.4 GeV

Q = 2pT ∼ 1 TeV

mt = 173 GeV

Soft-Collinear EFT (SCET) Heavy Quark EFT (HQET) Use EFT tools:

factorization, logs, non-perturbative effects

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SLIDE 15

Jets with Substructure

t → Wb → (u ¯ d )(b) = 3 prong jet

pp → t¯ t

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SLIDE 16

Theory Issues for

  • suitable top mass for jets
  • initial state radiation

final state radiation jet observable underlying event/MPI color reconnection parton distributions

  • sum large logs

Q mt Γt

pp → t¯ tX

First

e+e− → t¯ tX

and the issues

  • hadronization
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SLIDE 17

Answer

Hard Functions

Evolution and decay of top quark close to mass shell Perturbative Cross talk

(boosted HQET) Jet Functions Soft Function

Fleming, Hoang, Mantry, IS

Factorization for double jet-mass:

(2007)

control over mass scheme

QCD SCET HQET

  • d2σ

dM 2

t dM 2 ¯ t

  • hemi

= σ0HQ(Q, µm)Hm

  • m, Q

m, µm, µ

  • ×JB
  • ˆ

st − Q m , Γ, m, µ

  • JB
  • ˆ

t − Q

m , Γ, m, µ

  • Shemi(−k, −k, µ)F(k, k)

Hadronization

dominant effect is from first moment

Ω1 =

  • dkdk k F(k, k)

ˆ st ⇥ M 2

t m2

m ⇤ Γ ⌅ m

d d

usoft particles n-collinear jet n-collinear jet

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SLIDE 18

Answer

172 174 176 178 180 0.002 0.004 0.006 0.008 0.010 0.012

dσ dM

M

mt

M peak

measure this extract this

  • d2σ

dM 2

t dM 2 ¯ t

  • hemi

= σ0HQ(Q, µm)Hm

  • m, Q

m, µm, µ

  • ×JB
  • ˆ

st − Q m , Γ, m, µ

  • JB
  • ˆ

t − Q

m , Γ, m, µ

  • Shemi(−k, −k, µ)F(k, k)

Factorization for double jet-mass:

Fleming, Hoang, Mantry, IS (2007)

M peak mt + Γt(αs + α2

s + . . .) + QΩ1

mt

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SLIDE 19

19

Theory (QFT) Experiment Simulation

(Monte Carlo)

One application: Top Mass Calibration

Butenschoen, Dehnadi, Hoang, Mateu, Preisser, IS PRL 2016

mpole

t

, mt, mMSR

t

, . . .

mMC

t

e+e− = ⇒ pp

mt = mMC

t

+ . . .

  • determined by fit to common observable

calibration

e+e− → t¯ t

2

boosted

τ2 ∼ M 2

t + M 2 ¯ t

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SLIDE 20

Example from Fit to Pythia8 Simulation: Results:

  • Depend on which QFT based

theory mass is used for fit.

  • Provides uncertainties:

input: mMC

t

= 173 GeV mpole

t

= 172.43 ± 0.28 GeV mMSR

t

= 172.82 ± 0.22 GeV

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SLIDE 21

21

Calculate pp → t¯

t

boosted top:

pT mt

jet mass

MJ

t

¯ t

b-jet

b-jet

jet jet jet jet

p

p

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SLIDE 22

Theory Issues for

  • suitable top mass for jets
  • initial state radiation

final state radiation jet observable underlying event/MPI color reconnection parton distributions

  • sum large logs

Q mt Γt

pp → t¯ tX

can handle with SCET/HQET

  • Jet veto

Jet Mass in Jet of radius R multiple channels

“contamination”

  • hadronization
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SLIDE 23

23

IS, Tackmann, Waalewijn (2010)

N-jettiness event shapes for hadron colliders

XCone is a particularly nice choice for jet and T2 = min

nt,n¯

t

X

i

min{ρjet(pi, nt), ρjet(pi, n¯

t), ρbeam(pi)}

= T t

2 + T ¯ t 2 + T beam 2

,

t

¯ t

beam jet jet

gives jet-mass T t

2 = M 2 J1

Qt Ungroomed Factorization Formula:

d2σ dM 2

J1dM 2 J2dT beam 2

= tr ˆ HQm ˆ S(T beam

2

, R, . . .)⊗F

  • ⊗JB ⊗ JB⊗II ⊗ ff

hard

  • pert. soft

hadronization same Jet functions! initial state radiation PDFs

T beam

2

gives jet-veto

Hoang, Mantry, Pathak, IS (to appear soon)

generalizes ee result to LHC

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SLIDE 24

24

Hadronization effects

Ω1

first moment dominates , …

x2 = Ω2 − Ω2

1

Ω2

1

Ω2

MPI / UE effects:

higher moments give smaller effects jet mass from massless quarks & gluons, known that using a larger accurately captures MPI effects

ΩMPI

1

> Ω1

(IS, Tackmann, Waalewijn 2015)

ΩMPI

1

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SLIDE 25

pp → t¯ t

Issue is that MPI contamination is significant (Pythia), so uncertainty from this modeling may be too large for a precision measurement.

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SLIDE 26

26

Soft Drop

Larkoski, Marzani, Soyez, Thaler 2014

Grooms soft radiation from the jet

z > zcut θβ

two grooming parameters

min(pT i, pT j) pT i + pT j > zcut ∆Rij R0 β

Can still carry out calculations:

Larkoski, Marzani, Soyez, Thaler 2014 Fri, Larkoski, Schwartz, Yan 2016

ie.

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SLIDE 27

To derive

  • fact. theorem:

Remove soft contamination. Decouples top-jet from rest of the event!

Light Soft Drop for tops

zcut ∼ 0.01

Q = 2 pT cosh(ηJ)

top decay products & radiation leftover “collinear-soft” radiation

R

soft radiation groomed

Γt 4mt ⇣ Q 4mt ⌘β > ⇠ zcut

, z

1 2+β

cut 1

2 ✓ Γt mt 4m2

t

Q2 ◆

1 2+β

Hoang, Mantry, Pathak, IS (2017)

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SLIDE 28

To derive

  • fact. theorem:

Remove soft contamination. Decouples top-jet from rest of the event!

Light Soft Drop for tops

zcut ∼ 0.01

Q = 2 pT cosh(ηJ)

top decay products & radiation leftover “collinear-soft” radiation

R

soft radiation groomed

Γt 4mt ⇣ Q 4mt ⌘β > ⇠ zcut

, z

1 2+β

cut 1

2 ✓ Γt mt 4m2

t

Q2 ◆

1 2+β

Modes:

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SLIDE 29

29

MPI contamination reduced by factor of 5 with Light Soft Drop (eg. 4.5 GeV to 0.9 GeV):

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SLIDE 30

30

Factorization with Soft Drop on one jet:

Hoang, Mantry, Pathak, IS (2017) d(ΦJ) dMJ = N(ΦJ, zcut, , µ) Z dˆ s0 dΦd Dt(ˆ s0, Φd, m/Q) Z d` JB ⇣M2

J − m2 t − Q`

mt − ˆ s0, m, µ ⌘

⇣ × Z dk SC h⇣ ` − mk Q h

  • Φd, m

Q ⌘ (2βQzcut)

1 1+β , , µ

i FC(k, 1)

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SLIDE 31

31

Factorization with Soft Drop on one jet:

d(ΦJ) dMJ = N(ΦJ, zcut, , µ) Z dˆ s0 dΦd Dt(ˆ s0, Φd, m/Q) Z d` JB ⇣M2

J − m2 t − Q`

mt − ˆ s0, m, µ ⌘

⇣ × Z dk SC h⇣ ` − mk Q h

  • Φd, m

Q ⌘ (2βQzcut)

1 1+β , , µ

i FC(k, 1)

Norm (rest of the event) dynamics of top & its decay products left over perturbative collinear-soft radiation non-perturbative soft radiation

Ω1, x2

0.5 1.0 1.5 2.0 0.2 0.4 0.6 0.8 1.0

k (GeV)

F(k)

Ω1

control of mass scheme

Hoang, Mantry, Pathak, IS (2017)

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SLIDE 32

32

Factorization with Soft Drop on one jet:

d(ΦJ) dMJ = N(ΦJ, zcut, , µ) Z dˆ s0 dΦd Dt(ˆ s0, Φd, m/Q) Z d` JB ⇣M2

J − m2 t − Q`

mt − ˆ s0, m, µ ⌘

⇣ × Z dk SC h⇣ ` − mk Q h

  • Φd, m

Q ⌘ (2βQzcut)

1 1+β , , µ

i FC(k, 1)

i

tion formula:

Dt(ˆ s0, Φd, m/Q) = Γt ⇡(ˆ s0 2 + Γ2

t ) dt(Φd, m/Q)

t t t t t t t t

b q q

Φd = 5 phase space variables for decay

“decay” fact. thm.

Q < ⇠ 4mt

  • 2mtzcut/ΛQCD

1/β

Soft drop stops when comparing energetic top decay products

Hoang, Mantry, Pathak, IS (2017)

t

W

b q q

pt pb p p

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SLIDE 33

33

Factorization with Soft Drop on one jet:

d(ΦJ) dMJ = N(ΦJ, zcut, , µ) Z dˆ s0 dΦd Dt(ˆ s0, Φd, m/Q) Z d` JB ⇣M2

J − m2 t − Q`

mt − ˆ s0, m, µ ⌘

⇣ × Z dk SC h⇣ ` − mk Q h

  • Φd, m

Q ⌘ (2βQzcut)

1 1+β , , µ

i FC(k, 1)

“decay” fact. thm.

tan(θd/2) = m Q h

  • Φd, m

Q

  • θd is angle to jet-axis of last

decay product reclustered by soft-drop

Hoang, Mantry, Pathak, IS (2017)

Q < ⇠ 4mt

  • 2mtzcut/ΛQCD

1/β

Soft drop stops when comparing energetic top decay products

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SLIDE 34

34

Factorization with Soft Drop on one jet:

Hoang, Mantry, Pathak, IS (2017)

Q 4mt(2mtzcut/ΛQCD)1/β

“high-pT”

d(ΦJ) dMJ = N(ΦJ, zcut, , µ)

  • d JB

M 2

J − m2 t − Q

mt , Γt, m, µ

  • decay products well

inside groomed jet

×

  • dk SC
  • − k
  • k

2βQzcut

  • 1

1+β

(2βQzcut)

1 1+β , , µ

  • FC(k, )
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SLIDE 35

35

Groomed Factorization Results (NLL + Hadronization)

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SLIDE 36

36

Groomed Factorization Results

sensitive to top mass:

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SLIDE 37

37

Hadronization effects (smaller than ungroomed): Ω1 dominates

x2 = Ω2 − Ω2

1

Ω2

1

smaller

Groomed Factorization Results

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SLIDE 38

38

Groomed Factorization Results

pT dependence (smaller than ungroomed): Ungroomed Soft Drop groomed

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SLIDE 39

39

Test Theory Predictions with Simulations

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SLIDE 40

Predict: independent of Jet Radius

  • Without

Soft Drop (huge): R

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SLIDE 41

41

zcut dependence (simulation)

Predict transition for “light Soft Drop” most contamination is removed

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SLIDE 42

42

Fit Factorization to Simulations (Calibration)

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SLIDE 43

43

Simultaneous fit to different pTs

pT ≥ 750 GeV

pT ≥ 1000 GeV

no MPI with MPI

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SLIDE 44

Pythia Simulation vs. Factorization (with SoftDrop)

without Contamination:

mMC

t

= 173.1 GeV

mMSR

t

= 172.8 GeV

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SLIDE 45

with Contamination:

mMC

t

= 173.1 GeV

unchanged!

dominant change is as expected:

mMSR

t

= 173.1 GeV

  • Ω1

Pythia Simulation vs. Factorization (with SoftDrop)

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SLIDE 46

46

MSR Mass versus Pole Mass

equally good fit (an order dependent shift) pole mass comes out smaller, just like MSR pole

e+e−

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SLIDE 47

47

Retain agreement when we vary other knobs:

zcut = 0.02

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SLIDE 48

48

Retain agreement when we vary other knobs:

β = 1

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SLIDE 49

49

But smaller pT fails for Soft Drop:

not unexpected since in pinch of validity region

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SLIDE 50

50

Could still use ungroomed factorization for smaller pT Fit works, gives a larger as expected

ΩMPI

1

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SLIDE 51

51

Theory (QFT) Experiment Simulation

(Monte Carlo)

pp Calibration (soft drop) Direct Analysis (ungroomed)

Promising new techniques to answer “what mass is it?”

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SLIDE 52

Summary

  • Answers from connecting theory (QFT) to Monte Carlo or Data
  • A dominant uncertainty in the top mass is “what mass is it?”

Discussed a promising new method for Top Jet Mass predictions in pp with/without a light Soft Drop

  • Can Calibrate MC to determine relation:
  • mMC

t

= mt + . . .

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SLIDE 53

53

The End

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