Higgs boson mass: the quest for precise predictions in SUSY models
Dominik St¨ockinger
TU Dresden
26.1.2017, PSI/Z¨urich, Particle Theory Seminar
based on: [Athron, Park, Steudtner, DS, Voigt ’16] + Kwasnitza
Dominik St¨ockinger 1/32
MhExp= 125.09±0.24GeV
95 100 105 110 115 120 125
-3 -2 -1 0 1 2 3
Mh / GeV
Xt / MSUSY FlexibleEFTHiggs/MSSM
FlexibleSUSY/MSSM FlexibleSUSY/HSSUSY SOFTSUSY 3.6.2 SARAH/SPheno FeynHiggs 2.12.0 SUSYHD 1.0.2
Outline
1 Fixed-order, EFT-type, and new combined approach
2 Numerical results
3 Uncertainty estimates
4 Application to non-minimal models, further improvements
Dominik St¨ockinger Introduction 3/32
Hallmark of SUSY: M
hpredictable!
Standard Model: mh2=λv2
MSSM: λ↔gauge couplings
HHHH ↔ HHH˜H˜
m2h= 1 2 h
mA2 +mZ2 −q
(m2A+mZ2)2−4m2Zm2Ac2β2 i
=v21
4 gY2 +g22
cos22β+O 1
m2A
Extremely large loop corrections
Σleadingh ∝v2yt4 L , Xt2 , Xt4
, whereL≡lnMSUSY
Mweak Compare: RGE forλhas additive term, allows to predict the large log from simple EFT-arguments
βλSM=−12κLyt4+. . .
In contrast, theXt-terms originate from finite loop corrections
Dominik St¨ockinger Introduction 5/32
Plots illustrate qualitative behaviour ∝ X
t2, X
t495 100 105 110 115 120 125
-3 -2 -1 0 1 2 3
Mh / GeV
Xt / MSUSY FlexibleEFTHiggs/MSSM
FlexibleSUSY/MSSM FlexibleSUSY/HSSUSY SOFTSUSY 3.6.2 SARAH/SPheno FeynHiggs 2.12.0 SUSYHD 1.0.2
Plots illustrate qualitative behaviour ∝ L
80 90 100 110 120 130 140
1 10 100
Mh / GeV
MSUSY / TeV 0.2
FlexibleEFTHiggs/MSSM FlexibleSUSY/MSSM FlexibleSUSY/HSSUSY SOFTSUSY 3.6.2 SARAH/SPheno FeynHiggs 2.12.0 SUSYHD 1.0.2
. . . and three types of calculations:
Fixed order (Softsusy [Allanach], SPheno [Porod, Staub],FlexibleSUSY), 2-loop (gaugeless limit)
EFT-type (SUSYHD [Vega,Villadoro],HSSUSY), 2-loop matching/3-loop running
Combined (FeynHiggs [Hahn et al],FlexibleEFTHiggs)
Dominik St¨ockinger Introduction 7/32
80 90 100 110 120 130 140
1 10 100
Mh / GeV
MSUSY / TeV 0.2
FlexibleEFTHiggs/MSSM FlexibleSUSY/MSSM FlexibleSUSY/HSSUSY SOFTSUSY 3.6.2 SARAH/SPheno FeynHiggs 2.12.0
SUSYHD 1.0.2 95
100 105 110 115 120 125
-3 -2 -1 0 1 2 3
Mh / GeV
Xt / MSUSY FlexibleEFTHiggs/MSSM
FlexibleSUSY/MSSM FlexibleSUSY/HSSUSY SOFTSUSY 3.6.2 SARAH/SPheno FeynHiggs 2.12.0 SUSYHD 1.0.2
Aims and questions
How/why do the calculations differ?
What is the theory uncertainty?
Present improved method FlexibleEFTHiggs
Outline
1 Fixed-order, EFT-type, and new combined approach
Dominik St¨ockinger Fixed-order, EFT-type, and new combined approach 8/32
Overview of M
hcalculations
Two basic approaches
standard P.T. = tree +O(α) +O(α2) +O(α3) +. . . resummed logs = tree +O(αnLn) +O(αnLn−1) +. . . Resummation via EFT+RGE neglects termsO(1/MSUSY)
[systematic improvement by orders ofMweak/MSUSYpossible with higher-dimensional operators in EFT]
Combined approaches:
resummed logs + full MSUSY-dependence at fixed order
Overview of Higgs mass calculators
Status of Flexible* and other Higgs mass calculations:
MSSM FS-versions of: non-MSSM, generated FS-original (≈Softsusy) fixed 2L FS-original fixed 1L
Spheno “
SUSYHD,HSSUSY EFT, 2L matching+3L running
FEFTHiggs EFT, 1L matching+3L running FEFTHiggs
⇒many verifications; can study differences in detail. Note:≥2-loop only in gaugeless limit!
More Higgs mass calculations in MSSM:
MSSM, fixed order: H3m, FeynHiggs, Softsusy, Spheno,. . . MSSM, EFT: SUSYHD, HSSUSY
MSSM, combined: FeynHiggs, FlexibleEFTHiggs
Dominik St¨ockinger Fixed-order, EFT-type, and new combined approach 10/32
Overview of Higgs mass calculators
Status of Flexible* and other Higgs mass calculations:
MSSM FS-versions of: non-MSSM, generated FS-original (≈Softsusy) fixed 2L FS-original fixed 1L
Spheno “
SUSYHD,HSSUSY EFT, 2L matching+3L running
FEFTHiggs EFT, 1L matching+3L running FEFTHiggs
⇒many verifications; can study differences in detail. Note:≥2-loop only in gaugeless limit!
More Higgs mass calculations in MSSM:
MSSM, fixed order: H3m, FeynHiggs, Softsusy, Spheno,. . . MSSM, EFT: SUSYHD, HSSUSY
MSSM, combined: FeynHiggs, FlexibleEFTHiggs
Fixed order DR calculation in detail
1 Find DR parameters ˜gi, ˜yt, ˜mZ, . . . at the SUSY scale. E.g. ˜yt from mFS,SPht =Mt+ Σ(1)t
MtFS
˜ mtSPh
(FS≈Softsusy)
2 Calculate the Higgs pole mass from the DR parameters.
0 = det h
p2δij −(m2φ)ij + ˜Σφ,ij(p2) i
( ˜Σ includes tadpole term)
Dominik St¨ockinger Fixed-order, EFT-type, and new combined approach 11/32
Example: leading logs in fixed-order calculations
1 Find DR parameters ˜gi, ˜yt, ˜mZ, . . . at the SUSY scale. E.g. ˜yt from
mFSt ,SPh=Mt+ Σ(1)t
MtFS
mtSPh
2 Calculate the Higgs pole mass from the DR parameters.
0 = det h
p2δij −(m2φ)ij + ˜Σφ,ij(p2) i
Mh2 =m2h+ ˆv2yˆt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L
736EFT
736 9923 FS
3 SPh
+· · ·
Hence: not fixed order w.r.t. low-energy parameters, induced 3-loop terms different and wrong!
Example: leading logs in fixed-order calculations
1 Find DR parameters ˜gi, ˜yt, ˜mZ, . . . at the SUSY scale. E.g. ˜yt from
mFSt ,SPh=Mt+ Σ(1)t
MtFS
mtSPh
2 Calculate the Higgs pole mass from the DR parameters.
Mh2 =mh2+ ˜v2y˜t4
12LκL+ 192˜g32L2κ2L
Mh2 =m2h+ ˆv2yˆt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L
736EFT
736 9923 FS
3 SPh
+· · ·
Hence: not fixed order w.r.t. low-energy parameters, induced 3-loop terms different and wrong!
Dominik St¨ockinger Fixed-order, EFT-type, and new combined approach 12/32
Example: leading logs in fixed-order calculations
1 Find DR parameters ˜gi, ˜yt, ˜mZ, . . . at the SUSY scale. E.g. ˜yt from
(in terms of low-energy SM parameters ˆyt, ˆg3:)
˜
ytFS,SPh= ˆyt
1−8ˆg32LκL+
976
10409 FS 9 SPh
ˆ g34L2κ2L
+. . .
2 Calculate the Higgs pole mass from the DR parameters.
Mh2 =mh2+ ˜v2y˜t4
12LκL+ 192˜g32L2κ2L
Mh2 =m2h+ ˆv2yˆt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L
736EFT
736 9923 FS
3 SPh
+· · ·
Hence: not fixed order w.r.t. low-energy parameters, induced 3-loop terms different and wrong!
Example: leading logs in fixed-order calculations
1 Find DR parameters ˜gi, ˜yt, ˜mZ, . . . at the SUSY scale. E.g. ˜yt from
(in terms of low-energy SM parameters ˆyt, ˆg3:)
˜
ytFS,SPh= ˆyt
1−8ˆg32LκL+
976
10409 FS 9 SPh
ˆ g34L2κ2L
+. . .
2 Calculate the Higgs pole mass from the DR parameters.
Mh2 =mh2+ ˜v2y˜t4
12LκL+ 192˜g32L2κ2L
Mh2 =m2h+ ˆv2yˆt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L
736EFT 736 9923 FS
3 SPh
+· · ·
Hence: not fixed order w.r.t. low-energy parameters, induced 3-loop terms different and wrong!
Dominik St¨ockinger Fixed-order, EFT-type, and new combined approach 12/32
EFT-type calculation in detail
assume SUSY masses atMSUSY∼QmatchMweak∼Q assume SM = correct low-energy EFT belowQmatch Then: setup for correct terms of orderαnLn, αnLn−1
1 atµ=Qmatch: integrate out SUSY, match to SM need 1-loop δpi piSM(µ) =pSUSYi (µ) +δpi
2 between Qmatch> µ >Q: run in SM need 2-loopβpSMi dpiSM(µ)
d lnµ =βpSMi (µ)
3 atµ=Q: compute Higgs mass in SM, match toMt,αExps . . . need 1-loop SM ˆΣh Mh2=λSM(Mweak)v2+ ˆΣh
Example: leading logs in EFT-type calculations
1 atµ=Qmatch: integrate out SUSY, match to SM
λ≡λSM(Qmatch) = mhMSSM v2
2 between Qmatch> µ >Q: run in SM
ˆλ=λ+ ˆyt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L(736) +. . .
3 atµ=Q: compute Higgs mass in SM, match toMt,αExps . . .
Mh2 = ˆλˆv2
Mh2 =m2h+ ˆv2yˆt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L
736EFT
736 9923 FS
3 SPh
+· · ·
Dominik St¨ockinger Fixed-order, EFT-type, and new combined approach 14/32
Example: leading logs in EFT-type calculations
1 atµ=Qmatch: integrate out SUSY, match to SM λ≡λSM(Qmatch) = mhMSSM
v2
2 between Qmatch> µ >Q: run in SM
ˆλ=λ+ ˆyt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L(736) +. . .
3 atµ=Q: compute Higgs mass in SM, match toMt,αExps . . .
Mh2 = ˆλˆv2
Mh2 =m2h+ ˆv2yˆt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L
736EFT
736 9923 FS
3 SPh
+· · ·
Example: leading logs in EFT-type calculations
1 atµ=Qmatch: integrate out SUSY, match to SM λ≡λSM(Qmatch) = mhMSSM
v2
2 between Qmatch> µ >Q: run in SM λˆ =λ+ ˆyt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L(736) +. . .
3 atµ=Q: compute Higgs mass in SM, match toMt,αExps . . .
Mh2 = ˆλˆv2
Mh2 =m2h+ ˆv2yˆt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L
736EFT
736 9923 FS
3 SPh
+· · ·
Dominik St¨ockinger Fixed-order, EFT-type, and new combined approach 14/32
Example: leading logs in EFT-type calculations
1 atµ=Qmatch: integrate out SUSY, match to SM λ≡λSM(Qmatch) = mhMSSM
v2
2 between Qmatch> µ >Q: run in SM λˆ =λ+ ˆyt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L(736) +. . .
3 atµ=Q: compute Higgs mass in SM, match toMt,αExps . . . Mh2 = ˆλˆv2
Mh2 =m2h+ ˆv2yˆt4
12LκL−192ˆg32L2κ2L+ 4ˆg34L3κ3L
736EFT
736 9923 FS
3 SPh
+· · ·
EFT-type calculation in detail: matching at SUSY scale
“pure EFT” (SUSYHD, HSSUSY):
require Γfull(p = 0) = ΓEFT(p = 0) in limitMSUSY → ∞ λ= 1
4 gY2 +g22
cos22β+ ∆λ(1)+ ∆λ(2) Pro: clean expansion in well-defined orders
Con: neglects 1/MSUSY-terms already at tree-level!
Possible improvements: EFT+non-renormalizable operators
FeynHiggs: combined approach, add resummed logs onto fixed-order calculation without double counting
Dominik St¨ockinger Fixed-order, EFT-type, and new combined approach 15/32
EFT-type calculation in detail: matching at SUSY scale
FlexibleEFTHiggs: pole mass matching:
requireMhpole,full=Mhpole,EFT λ= 1
v2 h
(MhMSSM)2+ ˜ΣSMh ((MhSM)2) i
yt,mZ, . . .similar
Pro: exact at tree-level and 1-loop (2-loop can/will be included)
Pro: easier to automate for non-minimal SUSY
Con: can contain superfluous 2-loop terms, e.g. ∝∆yt4∗L
Further details and discussion
“pure EFT”
λ= 1 4
gY2+g22
cos22β+ 1 (4π)2
3(ytSM)4
ln mQ2
3 Q2
+
6(ytSM)4Xt2ln m2
Q3 m2
U3 m2Q
3−m2U 3
+. . .
pole mass matching
λ= 1 v2 h
(mMSSMh )2−Σ˜MSSMh ((MhMSSM)2,ytMSSM, . . .) + ˜ΣSMh ((MhSM)2,ytSM, . . .)i
Equivalence at one-loop up toO(Mweak2 /MSUSY2 ) [Athron,Park,Steudtner,DS,Voigt]
Equivalence at two-loop [Kwasnitza, Voigt]
“superfluous” 2-loop terms in one-loop matching
form of terms: lnQ2-dependent/independent! How to estimate missing higher-order terms?
Dominik St¨ockinger Fixed-order, EFT-type, and new combined approach 17/32
Outline
2 Numerical results
Verify expected similarities, differences between calculations
Verification: step-by-step comparison to SUSYHD
Xt= 0, so ∆λ(2)≈0
80 90 100 110 120 130
1 10 100
Mh / GeV
MSUSY / TeV 0.2
SUSYHD λ(2), yt NNNLO SUSYHD λ(1), yt NNNLO SUSYHD λ(1), yt NNLO FlexibleEFTHiggs/MSSM λ(2), yt NNNLO FlexibleEFTHiggs/MSSM λ(1), yt NNNLO FlexibleEFTHiggs/MSSM w/ yt(0), yt NNNLO FlexibleEFTHiggs/MSSM w/ yt(0), yt NNLO FlexibleEFTHiggs/MSSM w/ yt(1), yt NNLO
agreement with replica of SUSYHD, two-loop matching here unimportant (commonMSUSY,Xt= 0) FlexibleEFTHiggs-like matching: drastic change at lowMSUSY uncertainty of SUSYHD changes ofytat matching/low scales higher-order effect, numerically sizeable
Dominik St¨ockinger Numerical results 18/32
Verification: step-by-step comparison to SUSYHD
Xt= 0, so ∆λ(2)≈0
-2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5
1 10 100
(Mh - MhFlexibleEFTHiggs/MSSM) / GeV
MSUSY / TeV 0.2
SUSYHD λ(2), yt NNNLO SUSYHD λ(1), yt NNNLO SUSYHD λ(1), yt NNLO FlexibleEFTHiggs/MSSM λ(2), yt NNNLO FlexibleEFTHiggs/MSSM λ(1), yt NNNLO FlexibleEFTHiggs/MSSM w/ yt(0), yt NNNLO FlexibleEFTHiggs/MSSM w/ yt(0), yt NNLO FlexibleEFTHiggs/MSSM w/ yt(1), yt NNLO
agreement with replica of SUSYHD, two-loop matching here unimportant (commonMSUSY,Xt= 0) FlexibleEFTHiggs-like matching: drastic change at lowMSUSY uncertainty of SUSYHD changes ofytat matching/low scales higher-order effect, numerically sizeable
Comparison fixed-order and EFT results
Xt= 0, ∆λ(2)≈0
80 90 100 110 120 130 140
1 10 100
Mh / GeV
MSUSY / TeV 0.2
FlexibleEFTHiggs/MSSM FlexibleSUSY/MSSM FlexibleSUSY/HSSUSY SOFTSUSY 3.6.2 SARAH/SPheno FeynHiggs 2.12.0 SUSYHD 1.0.2
FEFTHiggs agrees with pure EFT for large masses
and agrees with fixed-order calculations for masses “interpolates”
fixed-order calculations differ strongly at highMSUSY theory uncertainty
Dominik St¨ockinger Numerical results 19/32
Comparison fixed-order and EFT results
Xt6= 0, ∆λ(2)6= 0
95 100 105 110 115 120 125 130 135 140
1 10 100
Mh / GeV
MSUSY / TeV 0.3
FlexibleEFTHiggs/MSSM FlexibleSUSY/MSSM FlexibleSUSY/HSSUSY SOFTSUSY 3.6.2 SARAH/SPheno FeynHiggs 2.12.0 SUSYHD 1.0.2
95 100 105 110 115 120 125
-3 -2 -1 0 1 2 3
Mh / GeV
Xt / MSUSY FlexibleEFTHiggs/MSSM
FlexibleSUSY/MSSM FlexibleSUSY/HSSUSY SOFTSUSY 3.6.2 SARAH/SPheno FeynHiggs 2.12.0 SUSYHD 1.0.2
non-log shift between FEFTHiggs and SUSYHD from missing 2-loop matching fixed-order calculations differ strongly at highMSUSY theory uncertainty
Outline
3 Uncertainty estimates
Find comprehensive estimates for fixed-order and EFT
Dominik St¨ockinger Uncertainty estimates 20/32
Uncertainties of fixed-order calculations
Source:
missing ≥3 loop terms (∝L3,L2,L,1) Estimates:
1 Estimate using known MSSM higher-order results
2 Estimate from generating motivated higher-order terms
1 top-mass definition (sensitive toL3)
2 renormalization scale (sensitive to≤L2)
Illustrate fixed-order uncertainty estimates
80 90 100 110 120 130 140
1 10 100
Mh / GeV
MSUSY / TeV 0.2
FlexibleSUSY/MSSM yt(MZ) SARAH/SPheno yt(MZ) FlexibleSUSY/MSSM yt(MS) SARAH/SPheno yt(MS) uncertainty from varying C1 ΔMh(Q)
Estimate using known MSSM higher-order results: change mFSt ,SPh =Mt+ Σ(1)t (. . .)±∆mt(2),known induces leading 3-loop change inMh
Dominik St¨ockinger Uncertainty estimates 22/32
Illustrate fixed-order uncertainty estimates
80 90 100 110 120 130 140
1 10 100
Mh / GeV
MSUSY / TeV 0.2
FlexibleSUSY/MSSM yt(MZ) SARAH/SPheno yt(MZ) FlexibleSUSY/MSSM yt(MS) SARAH/SPheno yt(MS) uncertainty from varying C1 ΔMh(Q)
Estimate from generating motivated higher-order terms:
mFSt ,SPh=Mt+ Σ(1)t
MtFS
mtSPh
at
MSUSY or Mweak
four options also induce leading 3-loop changes in Mh
Illustrate fixed-order uncertainty estimates
80 90 100 110 120 130 140
1 10 100
Mh / GeV
MSUSY / TeV 0.2
FlexibleSUSY/MSSM yt(MZ) SARAH/SPheno yt(MZ) FlexibleSUSY/MSSM yt(MS) SARAH/SPheno yt(MS) uncertainty from varying C1 ΔMh(Q)
renormalization scale Q varied by factor 2 induces change in Mh of
O(3-loop×L2×ln(2)) andO(2-loop, non-gaugeless×L×ln(2)) scale variation by itselfnot sufficient!
Dominik St¨ockinger Uncertainty estimates 22/32
Uncertainties of fixed-order calculations
Source:
missing ≥3 loop terms (∝L3,L2,L,1) Estimates:
1 Estimate using known MSSM higher-order results
2 Estimate from generating motivated higher-order terms
1 top-mass definition (sensitive toL3)
2 renormalization scale (sensitive to≤L2)
Comments: method can be applied to non-minimal models. Could be an underestimate of the uncertainty: missing estimates for 3LL terms governed by not yt, non-divergent 3NLL terms.
Summary of fixed-order uncertainty estimates
-6 -4 -2 0 2 4 6
1 10 100
ΔMh / GeV
MSUSY / TeV 0.3
ΔMh(4 x yt) ΔMh(Q)
-4 -2 0 2 4
-3 -2 -1 0 1 2 3
ΔMh / GeV
Xt / MSUSY ΔMh(4 x yt)
ΔMh(Q)
Dominik St¨ockinger Uncertainty estimates 24/32
Uncertainties of new EFT calculation
Sources:
high-scale uncertainty: missing≥2 loop matching corrections
low-scale uncertainty: missing ≥2 loop terms in low-scale Higgs pole mass calculation
EFT-uncertainty (in SUSYHD/HSSUSY): from missing 1/MSUSY-suppressed terms
Estimate high-scale uncertainty:
1 Estimate using known MSSM higher-order results
2 Estimate from generating motivated higher-order terms
1 top-mass matching either at tree-level or 1-loop (∆yt1L∼Xt,mgluino)
2 matching scale (sensitive to divergent terms, not toXt)
Illustrate FlexibleEFTHiggs uncertainty estimates
-4 -2 0 2 4
-3 -2 -1 0 1 2 3
ΔMh / GeV
Xt / MSUSY uncertainty from varying C2 and C3
ΔMh(yt 0L vs. 1L) ΔMh(Qmatch) ΔMh(Q)
Estimate using known MSSM higher-order results: change λ→λ±∆λ(2),known
Dominik St¨ockinger Uncertainty estimates 26/32
Illustrate FlexibleEFTHiggs uncertainty estimates
-4 -2 0 2 4
-3 -2 -1 0 1 2 3
ΔMh / GeV
Xt / MSUSY uncertainty from varying C2 and C3
ΔMh(yt 0L vs. 1L) ΔMh(Qmatch) ΔMh(Q)
Estimate from generating motivated higher-order terms yt-matching either at tree-level or 1-loop
matching-scale variation
induce 2-loop changes in λ-matching
Illustrate FlexibleEFTHiggs uncertainty estimates
-4 -2 0 2 4
-3 -2 -1 0 1 2 3
ΔMh / GeV
Xt / MSUSY uncertainty from varying C2 and C3
ΔMh(yt 0L vs. 1L) ΔMh(Qmatch) ΔMh(Q)
Low-scale uncertainty: missing SM higher orders
However: non-linear behaviour, different definitions possible 109.5 109
110 110.5 111 111.5 112 112.5 113 113.5
100 150 200 250 300
Mh / GeV
Q / GeV ΔMh(Q) Mh(Q)
Mh = 111.22 GeV
Dominik St¨ockinger Uncertainty estimates 26/32
Summary of fixed-order and FlexibleEFTHiggs uncertainty estimates
-6 -4 -2 0 2 4 6
1 10 100
ΔMh / GeV
MSUSY / TeV 0.3
ΔMh(4 x yt) ΔMh(Q)
-6 -4 -2 0 2 4 6
1 10 100
ΔMh / GeV
MSUSY / TeV 0.3
uncertainty from varying C2 and C3 ΔMh(yt 0L vs. 1L) ΔMh(Qmatch) ΔMh(Q)
-4 -2 0 2 4
-3 -2 -1 0 1 2 3
ΔMh / GeV
Xt / MSUSY ΔMh(4 x yt)
ΔMh(Q) -4
-2 0 2 4
-3 -2 -1 0 1 2 3
ΔMh / GeV
Xt / MSUSY uncertainty from varying C2 and C3
ΔMh(yt 0L vs. 1L) ΔMh(Qmatch) ΔMh(Q)
Combined uncertainty estimates
fixed-order: combine quadratically
∆Mh(4×yt),∆Mh(Q) (1) EFT: combine quadratically
maxh
∆Mh(yt 0L vs. 1L),∆Mh(Qmatch)i
,∆Mh(Q) (2)
Dominik St¨ockinger Uncertainty estimates 28/32
80 85 90 95 100 105 110 115 120 125 130 135
1 10 100
Mh / GeV
MSUSY / TeV Xt = 0
0.2
FlexibleEFTHiggs/MSSM FlexibleSUSY/MSSM ΔMhFlexibleSUSY ΔMhFlexibleEFTHiggs
95 100 105 110 115 120 125 130
-3 -2 -1 0 1 2 3
Mh / GeV
Xt / MSUSY MSUSY = 2 TeV
FlexibleEFTHiggs/MSSM FlexibleSUSY/MSSM ΔMhFlexibleSUSY ΔMhFlexibleEFTHiggs
110 115 120 125 130 135 140
-3 -2 -1 0 1 2 3
Mh / GeV
Xt / MSUSY MSUSY = 30 TeV
FlexibleEFTHiggs/MSSM FlexibleSUSY/MSSM ΔMhFlexibleSUSY ΔMhFlexibleEFTHiggs
FlexibleEFTHiggs more precise than fixed order above∼2 TeV reliable at low and highMSUSY
uncertainty estimates are conservative and overlap consistently
Outline
4 Application to non-minimal models, further improvements
Dominik St¨ockinger Application to non-minimal models, further improvements 29/32
NMSSM
λ=κ= 0.2 λ=κ= 0.4
80 90 100 110 120 130
1 10
Mh / GeV
MSUSY / TeV 0.2
FlexibleEFTHiggs/NMSSM FlexibleSUSY/NMSSM SOFTSUSY 3.6.2 SARAH/SPheno NMSSMTools 4.8.2 SARAH/SPheno FS-like ΔMhFlexibleSUSY ΔMhFlexibleEFTHiggs
60 70 80 90 100 110 120 130 140 150
1 10
Mh / GeV
MSUSY / TeV 0.2
FlexibleEFTHiggs/NMSSM FlexibleSUSY/NMSSM SOFTSUSY 3.6.2 SARAH/SPheno NMSSMTools 4.8.2 SARAH/SPheno FS-like ΔMhFlexibleSUSY ΔMhFlexibleEFTHiggs
-8 -6 -4 -2 0 2 4 6 8
1 10
ΔMh / GeV
MSUSY / TeV λ = 0.4
0.2 ΔMh(4 x yt)
ΔMh(Q)
-8 -6 -4 -2 0 2 4 6 8
1 10
ΔMh / GeV
MSUSY / TeV
λ = 0.4
0.2
ΔMh(Q) ΔMh(Qmatch) ΔMh(yt 0L vs. 1L)
Only SPheno has complete 2-loop IR catastrophe, result unreliable for highMSUSY
MRSSM
40 50 60 70 80 90 100 110 120 130 140
1 10 100
Mh / GeV
MSUSY / TeV 0.2
FlexibleEFTHiggs/MRSSM FlexibleSUSY/MRSSM 1L SARAH/SPheno 2L SARAH/SPheno 2L FS-like ΔMhFlexibleSUSY ΔMhFlexibleEFTHiggs
Point SPheno SPheno SPheno SPheno FlexibleSUSY FlexibleEFT-
1L 2L 1L, (5) 2L, (5) 1L Higgs 1L
BM10 120.4 125.6±1.3 120.0 125.1±1.3 120.6 122.1±1.7 BM20 120.8 126.0±1.1 120.4 125.6±1.1 120.2 121.7±1.8 BM30 121.0 125.7±1.3 120.5 125.2±1.3 120.4 121.9±1.9
points from Diessner, Kalinowski, Kotlarski, DS
-10 -5 0 5 10
1 10 100
ΔMh / GeV
MSUSY / TeV 0.2
ΔMh(4 x yt) ΔMh(Q)
-10 -5 0 5 10
1 10 100
ΔMh / GeV
MSUSY / TeV 0.2
ΔMh(yt 0L vs. 1L) ΔMh(Qmatch) ΔMh(Q)
Complementary to/more precise than Sarah/SPheno (FO 2-loop), but uncertainty probably still underestimated
Dominik St¨ockinger Application to non-minimal models, further improvements 31/32
Improvements
1 1-loop matching → 2-loop matching
2 remove superfluous 2-loop terms induced in 1-loop matching
-4 -2 0 2 4 6 8 10
1 10 100
0.2 (Mh - MhFlexibleEFTHiggs/MSSM 2L) / GeV
MS / TeV
FlexibleEFTHiggs/MSSM 2L FlexibleEFTHiggs/MSSM 1L FlexibleSUSY/MSSM 2L FlexibleSUSY/HSSUSY 2L FlexibleSUSY/HSSUSY 1L SOFTSUSY 3.6.2 SARAH/SPheno FeynHiggs 2.12.2 SUSYHD 1.0.3 FlexibleEFTHiggs/MSSM 1L*
Alexander Voigt + Thomas Kwasnitza, preliminary
Conclusions
New approach combines FO + EFT
I understand differences, pros and cons
80 90 100 110 120 130 140
1 10 100
Mh / GeV
MSUSY / TeV 0.2
FlexibleEFTHiggs/MSSM FlexibleSUSY/MSSM FlexibleSUSY/HSSUSY SOFTSUSY 3.6.2 SARAH/SPheno FeynHiggs 2.12.0 SUSYHD 1.0.2
Comprehensive uncertainty estimates
I for fixed-order and EFT
I yt-change and scale variation
-6 -4 -2 0 2 4 6
1 10 100
ΔMh / GeV
MSUSY / TeV 0.3
ΔMh(4 x yt) ΔMh(Q)
-6 -4 -2 0 2 4 6
1 10 100
ΔMh / GeV
MSUSY / TeV 0.3
uncertainty from varying CΔMh(yt2 0L vs. 1L) and C3 ΔMh(Qmatch) ΔMh(Q)
Applicable to non-minimal models
I NMSSM, MRSSM, . . .
I complementary to Sarah/SPheno
40 50 60 70 80 90 100 110 120 130 140
1 10 100
Mh / GeV
MSUSY / TeV 0.2
FlexibleEFTHiggs/MRSSM FlexibleSUSY/MRSSM 1L SARAH/SPheno 2L SARAH/SPheno 2L FS-like ΔMhFlexibleSUSY ΔMhFlexibleEFTHiggs
Dominik St¨ockinger Conclusions 33/32