André H. Hoang
University of Vienna
Status and Research Goals for the
Interpretation of the Top Mass
A small history on top mass reconstruction
•
Many individual measurements with uncertainty below 1 GeV.•
Some discrepancies between LHC and Tevatron•
Reached < 500 MeV uncertaintiesOutline
• Introduction
• Multipurpose MCs and Top quark mass schemes
• Calibration of the Monte Carlo top mass parameter: e
+e
-→ t t (2-jettiness)
• Factorization for pp → t t with and w/o jet grooming (SoftDrop)
• MC top mass from inside MC:
Parton-shower cutoff dependence of jet masses
• Summary, future plans
Butenschön, Dehnadi, Mateu, Preisser, Stewart,AH; PRL 117 (2016) 153
Mantry, Pathak, Stewart, AHH; arXive:1708.02586
Plätzer, Samitz, AHH; w.i.p.
⊕ High top mass sensitivity
⊖ Precision of MC ?
⊖ Meaning of mtMC ?
Top Mass from Reconstruction
LHC+Tevatron: Direct Reconstruction
kinematic mass determinationΔ mt ~ 200 MeV (projection) Δ mt ∼ 0.5 GeV
Determination of the best-fit value of
the Monte-Carlo top quark mass
parameter
mMCt = 174.34±0.64 (Tevatron final, 2014) mMCt = 172.44±0.49 (CMS Run-1 final, 2015) mMCt = 172.84±0.70 (ATLAS Run-1 final, 2016)
Monte-Carlo Event Generators
•
Full simulation of all processes (all experimental aspects accessible)•
QCD-inspired: partly first principles QCD ⇔ partly model•
Description power of data better than intrinsic theory accuracy.•
Top quark in parton shower: treated like a real particle (mtMC ≈ mtpole +?).•
Top quark in splitting function/matrix elements: mtMC = mtpoleIssue 1: But how precise is modelling? Part of exp. analyses (but theory) Issue 2: What is the meaning of MC QCD parameters?
BUT: parton showers sum (real & virtual !) perturbative corrections only above the shower cut and not pickup any corrections from below.
Theory
1) Matrix elements (LO/NLO) 2) Parton shower (NLL)
3) Hadronization model
Alternative Top Mass Measurements Methods
Total Cross Section:
ATLAS: Eur. Phys. J., C74 (2014) 3109
mpolet = 172.9+2.52.6 GeV
mpolet = 172.7+2.42.7 GeV CMS: JHEP 09 (2017) 051
Theory: Czakon, Fiedler, Mitov, PRL 110 (2013) 252004
tt+jet mass distribution:
mpolet = 173.7+2.32.1 GeV mpolet = 169.9+4.53.7 GeV
ATLAS: JHEP 10 (2015) 121 CMS: CMS-PAS-TOP-13-006
Theory: Alioli etal. , Eur.Phys.J. D73 (2013) 2438 Fuster etal. , Eur.Phys.J. D77 (2017) 794
Kinematic endpoints (leptonic top decays):
CMS: JHEP 10 (2015) 121 Theory: Purely MC based
mMCt = 173.9+1.92.3 GeV
Alternative Top Mass Measurements Methods
b-jet energy distribution:
CMS: CMS-PAS-TOP-15-002
Theory: Agashe etal., Eur.Phys.J. C76 (2016) 636 mMCt = 172.3±2.9 GeV
Leptonic observables (no kinematic mass dependence):
mpolet = 173.2±1.7 GeV ATLAS: Eur.Phys.J. C77 (2017) 804 CMS: CMS-PAS-TOP-13-006
mpolet = 171.7+2.93.3 GeV
Theory: Frixione, Mitov , JHEP 09 (2014) 012
•
Unrealistic to expect that these method ever reach precision of reconstruction•
More inclusive observables more sensitive to norm uncertainties•
Essential problem is what the top quark state is one is sensitive to remains unresolved.•
Hadronization effects related to the top quark state unavoidable (top = color triplet)•
Represent cross checks of reconstruction method.Calibration of the MC Top Mass
1) Strongly mass-sensitive hadron level observable (as closely as possible related to reconstructed invariant mass distribution !) 2) Accurate hadron level QCD predictions at ≧ NLL/NLO with full
control over the quark mass scheme dependence.
3) QCD masses as function of m
tMCfrom fits of observable.
4) Cross check observable independence / universality
Method:
• different tunings
• parton showers
• color reconnection
• Intrinsic error, …
mMCt = mMSRt (R = 1 GeV) + t,MC(R = 1 GeV)
t,MC(1 GeV) = ¯ + MC + pQCD + param
• perturbative error
• scale uncertainties
• electroweak effects
• strong coupling αs
• Non-perturbative parameters
✓
✓
✓
Monte Carlo dependence: QCD errors: Parametric errors:
Treated in our analysis Experimental
systematics
mMSRt (Q0) = mpolet ↵s(Q0)
4⇡ Q0 ⇥ 5.33
Thrust Distribution
Observable: 2-jettiness in e+e- for Q = 2p
T≫ m
t(boosted tops)
⌧ = 1 max
~nP
i
| ~ n · ~ p
i| Q
Invariant mass distribution in the resonance region of wide hemisphere jets !
⌧2peak = 1 s
1 4m2t Q2 Excellent mass sensitivity:
(tree level)
⌧2!peak
⇡ M
12+ M
22Q
2Boosted Top Quarks
• Top mass from reconstruction of boosted tops consistent with low p
Tresults.
• More precise studies possible with more statistics from Run-2.
• Meaning of m
tMCfor boosted tops and slow top quarks consistent.
First simplification:
• Enables us to be inclusive w.r. to the hard-collinear decay products
Q 2p
Tm
td
d⌧
2= f (m
MSRt(R), ↵
s(M
Z), ⌦
1, ⌦
2, . . . , µ
h, µ
j, µ
s, µ
m, R,
t)
2-Jettiness for Top Production (QCD)
MSR mass
MSR mass
• Good convergence
• Reduction of scale
uncertainty (NLL to NNLL)
• Control over whole distribution
• Higher mass sensitivity for lower Q (p
T)
• Finite lifetime effects included
• Dependence on non- perturbative parameters
• Convergence: Ω
1,2,…Non-perturbative renorm. scales finite lifetime Q=700 GeV (pT= 350 GeV) Q=1400 GeV (pT = 700 GeV)
Q=700 GeV Q=1400 GeV
any scheme possible
Fit Procedure Details
▶ Tune 7 (Monash︎)
21 fit setups
(PYTHIA 8.205)
▶ Take αS(MZ) as input from world average.
(Sensitivity to strong coupling very weak.)
Butenschön, Dehnadi, Mateu, Preisser, Stewart,AH; PRL 117 (2016) 153
Fit Result: Pythia 8.205 vs. Theory
Γt=1.4 GeV, tune 7, mtMC = 173 GeV
Ω1 = 0.44 GeV,
mtMSR(1GeV) = 172.81 GeV
•
Good agreement of PYTHIA with NNLL/NLO theory predictions•
Perturbative uncertainties of theory predictions based on scale uncertainties (profiles)•
MC uncertainties:•
Vertical: rescaled statistical error (PDFrescaling method) → independent on statistics
•
Horizontal: fit coverage from 21 fit setups (incompatiblity uncertainty)Convergence & Stability: MSR vs. Pole Mass
•
Good convergence & stability for MSR mass•
Mass mtMSR(1GeV) mass definition closest to the MC top mass mtMC.•
Pole mass shows worse convergence.•
Pole mass not compatible with MC mass within errors•
1100/700 MeV difference at NLL/NNLL•
mtpole ≠ MtPythia 8.2Similar analyses from the 20 other Q-set and n-range setups.
t,MC
Final Result for m t MSR (1 GeV)
m
tMSR(1GeV)
= m
tMC- 0.18 ± 0.22 GeV
MSR Mass Tune Dependence
1 3 7
Extension to pp → t t X
Extension to pp (in principle) straightforward: (e.g. N-jettiness & X-Cone jets)
Same jet functions as e
+e
-Extension to pp → t t X
Same jet functions as e
+e
-Extension to pp (in principle) straightforward: (e.g. N-jettiness & X-Cone jets)
Jet Mass of Boosted Top Quarks
Grooming with SoftDrop
Larkowski, Marzani, Soyez, Thaler, 2014
• Allows for factorization calculations
• .
Frye, Larkowski, Schwartz, Yan, 2016
Mode separation: additional soft-collinear modes
Theory Set Up with SoftDrop
AH, Mantry, Pathak, Stewart; arXive:1708.02586
⇣` k⇣ k Qcut
⌘1+1 ⌘ Q
1 1+
cut , , µ
SoftDrop Effects
AH, Mantry, Pathak, Stewart; arXive:1708.02586
Top Mass Fits (to Pythia 8 output)
AH, Mantry, Pathak, Stewart; arXive:1708.02586
Hadronization only: MC mass and MSR mass compatible
→ Results compatible with 2-jettiness calibration for e+e- annihilation.
Top Mass Fits (to Pythia 8.2 output)
AH, Mantry, Pathak, Stewart; arXive:1708.02586
Hadronization + MPI: MC mass and MSR mass compatible
→ Results compatible with 2-jettiness calibration for e+e- annihilation.
Understanding m t MC from within MC’s
Understanding the interface of Parton Shower and Hadronization Model Central Task:
1) What is the principle precision current MCs have concerning the interpretation of mtMC ?
ü
2) What is the role the shower cut Q0? (ü)
3) What is the role of “practical multi-purpose issues” contained in the MC?
•
Parton shower dependence on Q0 (role of unitarization, coherent branching vs dipole)•
Hadronization model dependence on Q0 (string vs cluster)•
Tests of factorization•
Choice of renormalization scales•
Gluonmass, etc.•
Parton shower dependence on Q0 (role of unitarization)•
Hadronization model dependence on Q0Understanding intrinsic limitations and pQCD content of MC
S. Plätzer, D. Samitz, AHH w.i.p.
Quark Mass Threshold in Coherent Branching
How precisely can MCs define the quark mass definition they use in principle?
J(k2, Q, m) = (k2 m2) + CF↵s
2⇡
8Lm⇣ln(k2 m2) k2 m2
⌘
+ 8⇣ln(k2 m2) k2 m2
⌘
+
+(4L2m + 2Lm + ANLO[6= 2⇡2]) (k2 m2)
LL + NLL produced by parton shower
ANLO fixed by unitarization
Result in pole mass scheme ! Note: In the single particle threshold region all MCs use the narrow width approximation,
which is based on the factorization of on-shell production and on-shell decay.
We consider the quasi collinear limit (Q >> m).
PQQ(↵s,q˜2, z) = Pqq(↵s,q˜2) + ↵sCF 2⇡
2m2 z(1 z)˜q2
Quark Mass Threshold in Coherent Branching
Peak position x0 of function f(x): f(x) = f0(x) + ↵(f1(x) + f0(x))
LO: f00(xLO0 ) = 0
J(k2, Q, m) = (k2 m2) + CF↵s 2⇡
8Lm
⇣ln(k2 m2) k2 m2
⌘
+ 8⇣ln(k2 m2) k2 m2
⌘
+
+(4L2m + 2Lm + ANLO[6= 2⇡2]) (k2 m2)
NLO: f0(xNLO0 ) = 0, xNLO0 = xLO0 x0
, f0(xLO0 x0) = f00(x0) f000(xLO0 ) x0 +↵(f10(x0) +f00(x0)) , x0 = ↵ f10(x0)
f000(x0)
= 0 = 0
⇒ NLL MC has full NLO precision concerning mass threshold !
LL + NLL produced by parton shower
Same form !
Quark Mass Threshold in Coherent Branching
•
PS uses mtpole for Q0=0•
Realistically, PS use Q0>0 with values small enough to be unresolved for observables: e.g. due to hadronization smearing.•
Finite Q0 does not affect the total cross section due to unitarization:Z
dM J(M, Q)Q0 = 1
J (M, Q)
Q0=0J(M, Q)Q00 J(M, Q)Q0
= m(m, Q, Q00, Q0) 0(M mpolet ) +. . .
J (M, Q)
Q0, J (M, Q)
Q00>Q0
Quark Mass Threshold in Coherent Branching
•
Using a finite shower cut Q0 causes a change in the threshold location from the unresolved regime (multipole expansion)•
This implies that for Q0>0 the PS does not use the pole mass scheme, but a lowscale short distance mass scheme.
J (M, Q)
Q0=0J(M, Q)Q00 J(M, Q)Q0
= m(m, Q, Q00, Q0) 0(M mpolet ) +. . .
J (M, Q)
Q0, J (M, Q)
Q00>Q0
m(m, Q, Q00, Q0) = ↵s
⇡
⇣#Q
m + #⌘
(Q00 Q0) soft ultrcollinear
“dead cone”
Quark Mass Threshold in Coherent Branching
0.4 0.6 0.8 1.0 1.2 1.4 1.6 Q0
0.281 0.282 0.283 0.284 τ2
Q = 500 GeV
2-Jetiness distribution in e+e- annihilation
Caveats (for those who want to attempt immediate phenomenological interpretation)
•
Realistic MC use various phenomenological approximation and modifications that may change the result the the interpretation.•
Still lot of work left to do.m
P.Sh.t(Q
0) = m
polet↵
s(Q
0)
⇡ Q
0c
NLO corrections calculable
Summary and Outlook
•
MC top mass calibration:•
Theory for the MC top quark mass:
▶︎ mtPythia = mtMSR(1GeV) +0.18 ± 0.22 GeV
•
Public code for calibration (CALIPER)•
Extend to other e+e- eventshapes (C-parameter, HJM)•
NNNLL for e+e- 2-jettiness•
Application to bottom production → 2-loop SCET massive quark jet function•
Electroweak corrections → log summation, tadpoles, more differential•
pp with SoftDrop (at NNLL) → precision tests with LEP data / of MC•
Parton shower (cutoff-dependence)•
Hadronisation model•
Tests of factorization•
Extension of matching•
Finite lifetime effectsIntroducing Herwig 7
Herwig Herwig++
HERWI G
The Herwig family is one of three multipurpose event generators.
Herwig++ has seen a ten-year development to meet a
milestone intended to succeed the FORTRAN HERWIG program.
This milestone evolved over time as the experimental and phenomenological needs did.
On top of its first definition (= at least as good as HERWIG), precision has become the key goal
Herwig++ 3.0 → Herwig 7.0
[Herwig collaboration – Eur.Phys.J. C76 (2016) 665]
Simon Plätzer
Herwig (related) activities
Development centered around two shower algorithms.
Automated NLO QCD matching and merging is key working horse for precision.
Matching systematics, (shower) uncertainties and tops are main focus recently.
Phenomenological effort centred around VBF and VBS. → VBFSCan (CA 16108)
Improvements to hadronization models and colour reconnection underway.
Subleading-N corrections and theoretical frameworks under development.
[Gieseke, Stephens, Webber – JHEP 0312 (2003) 045] [Plätzer, Gieseke – JHEP 1101 (2011) 024]
[Plätzer, Gieseke – EPJ C72 (2012) 2187] [Bellm, Gieseke, Plätzer – arXiv:1705.06700]
[Bellm, Nail, Plätzer, Schichtel, Siodmok – EPJ C76 (2016) 665] & work in progress
[Campanario, Figy, Plätzer, Sjödahl – PRL 111 (2013) 211802]
[Plätzer, Rauch –EPJ C77 (2017) 293] & work in progress
[Gieseke, Kirchgaesser, Plätzer – EPJ C78 (2018) 99] & work in progress
[Plätzer, Sjödahl – JHEP 1207 (2012) 042]
[Angeles Martinez, DeAngelis, Forshaw, Plätzer, Seymour – arXiv:1802.xxxx]
Simon Plätzer
Backup Slides
Multipurpose Event Generators
Indispensable tools
for experiments & phenomenology.
Realistic, fully detailed simulation spanning orders of magnitude in relevant energy scales.
Factorization dictates work flow.
Hard process calculation Parton shower algorithms Multiple interaction models Hadronization models
Simon Plätzer
•
Very strong sensitivity to mt•
Low sensitivity to strong coupling•
Take PDF strong coupling as input: αS(MZ) = 0.1181(13)(error irrelevant for mtMSR, mtpole)
•
𝝌2min and δmtstat do not have any physical meaning•
PDF rescaling method:(𝝌2min)rescale = 1
can be used to define an
Peak Fits Parameter Sensitivity
●
●
●
● ● ● ● ● ●
●
●
167 168 169 170 171 172 0
2500 5000 7500 10000 12500 15000 17500
●
● ●
●
●
●
●
●
●
●
●
0.113 0.114 0.115 0.116 0.117 108.5
109.0 109.5 110.0 110.5 111.0
α χ2
Default renormalization scales; Γt=1.4 GeV, tune 7, Ω1,smear=2.5 GeV, mtPythia=171 GeV, Q={700, 1000, 1400} GeV, peak fit (60/80)%
2
2 mMSRt (5 GeV)
↵s(MZ)
𝝌2min ~ O(100)
MSR/MS Parametric Dependence on α S
mMSRt (1 GeV)
mt(mt)
Signal ttbar vs full ee→WWbb
MadGraph 5 study:
Pythia Study: Hemisphere Mass Cuts
Pole Mass Determination
mpolet mMSRt (1 GeV) = 0.173 + 0.138 + 0.159 + 0.23 GeV + 0.53 + 1.43 + 4.54 + 16.6 GeV + 68.6 + 317.7 + 1629 + 9158 GeV
↵
s(M
Z) = 0.118 n
f= 5
•
Calibration in terms of the pole mass involves large higher-order perturbative corrections•
Additional uncertainty on pole mass: (mtpole)NLL = 172.45 ± 0.52 GeV, (added quadratically) (mtpole)NNLL= 172.72 ± 0.41 GeV•
Theoretical ambiguity of the top quark pole mass: 250 MeVPole mass should be abandoned once uncertainties reach 0.5 GeV.
O(↵s) O(↵2s) O(↵3s) O(↵4s)
1) Pole mass implemented in code:
2) Pole mass determined from MSR mass:
Δmtp ≈ 700 MeV Δmtp ≈ 600 MeV
Lepenik, Preisser, AHH; arXiv:1706.08526
Pole mass smaller than MSR mass
Pole mass larger than MSR mass
Conversion to the Top MS Mass
m
pMSRt(1 GeV) m
pMSRt(163.018 GeV) =
= 8.913 + 0.906 + 0.052 0.070 ± 0.035 GeV
= 9.802 ± 0.035 GeV m
pMSRt(1 GeV) = 172.82 ± 0.022, GeV
m
t(m
t) = 163.020 ± 0.230 GeV 1) Approach: m
tMC~ m
tMSR(1 GeV)
2) Approach: m
tMC~ m
tPolem
polet= 172.72 ± 0.410 GeV
m
poletm
nMSRt(163 GeV) = 7.505 + 1.581 + 0.481 + 0.193
+ 0.111 + 0.079 + 0.066 + 0.064 + 0.071 + . . . GeV m
t(m
t)
2loop= 163.634 ± 0.890 GeV
m
t(m
t)
3loop= 163.153 ± 0.475 GeV
No detailed analysis!
No electroweak corrections!
Can be improved by next order
Proper interpretation hard due to renormalon problem.
Preliminary Studies of SoftDrop Effects
AH, Mantry, Pathak, Stewart; arXive:1708.02586
Proposal for VCES Cost Support 2019
A short history :
• First meeting in 1978
• Started as joint Vienna-Bratislava seminars
Walter Thirring (U Vienna), Milan Petráš (Comenius U), Mikuláš Blažek (SAS)
• Approximately covering countries within former Austro- Hungarian Empire
Triangle = (Vienna, Bratislava, Budapest)
GP3 activity !!
Proposal for VCES Cost Support
1) Nov 25-28, 2004:
2) Nov 25-27, 2005:
3) Dec 1-3, 2006:
4) Nov 30-Dec 2, 2007:
5) Nov 28-30, 2008:
6) Nov 27-20, 2009:
7) Nov 26-28, 2010:
8) Nov 25-27, 2011:
9) Nov 30-Dec 2, 2012:
10) Nov 28-29, 2014:
11) Nov 27-28: 2015:
Advances in Quantum Field Theory Frontiers in Astroparticle Physics
Challenges in Particle Physics Phenomenology Commutative and Noncommutative Quantum Fields Highlights in Computational Quantum Field Theory Effective Field Theories
Complex Stochastic Dynamics Particle Physics and the LHC
Dark Matter, Dark Energy, Black Holes – Quantum Aspects of the Universe Inflation and Cosmology
Quantum and Gravity
→ Prior to 2004: Vienna Triangle Seminar
Proposal for VCES Cost Support
• 2-3 day conference
• Approx. 100 participants
• Venue: somewhere in Vienna (likely University Vienna location)
• COST support aimed to support (in particular young) researchers from ITCs:
500 Euros lumpsum per capita → 16 x EUR 500 = EUR 8000
• Talks by invitation, participation bu registration
• 50 Euros registration fee (except for local (→DKPI support) and supported participants)
• Local organizers: Simon Plätzer, Massimiliano Procura, André Hoang
• External organizers welcome, organization starts fall 2018