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Resummation of the D Parameter
Andrew Larkoski Reed College
work in progress with Andrea Banfi, Aja Procita
UCLA, April 5, 2018
2
Legacy of LEP Precision Measurements
Y
XZ
200 . cm.
Cen t r e o f sc r een i s ( 0 . 0000 , 0 . 0000 , 0 . 0000 )
50 GeV2010 5
Run : even t 4093 : 1000 Da t e 930527 T ime 20716 Ebeam 45 . 658 Ev i s 99 . 9 Emi ss - 8 . 6 V t x ( - 0 . 07 , 0 . 06 , - 0 . 80 ) Bz=4 . 350 Th r us t =0 . 9873 Ap l an=0 . 0017 Ob l a t =0 . 0248 Sphe r =0 . 0073
C t r k (N= 39 Sump= 73 . 3 ) Eca l (N= 25 SumE= 32 . 6 ) Hca l (N=22 SumE= 22 . 6 ) Muon (N= 0 ) Sec V t x (N= 3 ) Fde t (N= 0 SumE= 0 . 0 )
Event Display from OPAL
3
Legacy of LEP Precision Measurements
Y
XZ
200 . cm.
Cen t r e o f sc r een i s ( 0 . 0000 , 0 . 0000 , 0 . 0000 )
50 GeV2010 5
Run : even t 4093 : 1000 Da t e 930527 T ime 20716 Ebeam 45 . 658 Ev i s 99 . 9 Emi ss - 8 . 6 V t x ( - 0 . 07 , 0 . 06 , - 0 . 80 ) Bz=4 . 350 Th r us t =0 . 9873 Ap l an=0 . 0017 Ob l a t =0 . 0248 Sphe r =0 . 0073
C t r k (N= 39 Sump= 73 . 3 ) Eca l (N= 25 SumE= 32 . 6 ) Hca l (N=22 SumE= 22 . 6 ) Muon (N= 0 ) Sec V t x (N= 3 ) Fde t (N= 0 SumE= 0 . 0 )
Event Display from OPAL
Event shape variables quantify energy flow distribution
Y
XZ
200 . cm.
Cen t r e o f sc r een i s ( 0 . 0000 , 0 . 0000 , 0 . 0000 )
50 GeV2010 5
Run : even t 4093 : 1000 Da t e 930527 T ime 20716 Ebeam 45 . 658 Ev i s 99 . 9 Emi ss - 8 . 6 V t x ( - 0 . 07 , 0 . 06 , - 0 . 80 ) Bz=4 . 350 Th r us t =0 . 9873 Ap l an=0 . 0017 Ob l a t =0 . 0248 Sphe r =0 . 0073
C t r k (N= 39 Sump= 73 . 3 ) Eca l (N= 25 SumE= 32 . 6 ) Hca l (N=22 SumE= 22 . 6 ) Muon (N= 0 ) Sec V t x (N= 3 ) Fde t (N= 0 SumE= 0 . 0 )
4
τ
σ
dσ
dτ
τ
0.300.10 0.15 0.20 0.250.0
0.4
0.3
0.2
0.1
Fit at N LL3 ’
theory scan error
DELPHI
ALEPH
OPAL
L3
SLD
for & �
Legacy of LEP Precision Measurements
Abbate, Fickinger, Hoang, Mateu, Stewart 2010
Thrust at N3LL + NNLO
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Cpar �
d�
dCpar
ALEPH dataGGGH
LONLONNLO
⇠R 2 [0.5, 2]⇠R 2 [0.5, 2]⇠R 2 [0.5, 2]
pQ2 = 91.2GeV
↵s(Q2) = 0.118
0.951.01.05
GGGH
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0Cpar
GGGH
0.951.01.05
SW
SW
C-parameter at NNLO
Del Duca, Duhr, Kardos, Somogyi, Szőr, Trócsányi, Tulipánt 2016
Precision data/theory comparisons enable 𝛼s extraction
5
Legacy of LEP Precision Measurements
Why thrust and C-parameter?NNLO:
2 → 3 at two-loopsNNLL/N3LL:
Small values restrict radiation
Lots of tools!
e+
e-
q
q
g
𝜏, C, B, first non-zero
EERAD3, CoLoRFulNNLO, etc.
𝜏, C, B ≪ 1
Cross section factorizesHard, Soft, Collinear functions
6
Legacy of LEP Precision Measurements
LEP measured more than just 𝜏 and C!See: http://hepdata.cedar.ac.uk/review/shapes/
D parameter at DELPHI, L3, OPAL
C → 0: linear event codimension 2
D → 0: planar event codimension 1
7
Legacy of LEP Precision Measurements
Challenges with D parameter: Fixed Order
NNLO: 2 → 4 at two-loops
Just starting to be calculated
State of the art NLO: 2 → 4 at one-loop
Badger, Brønnum-Hansen, Hartanto, Peraro 2017Abreu, Febres Cordero, Ita, Page, Zeng 2017
Nagy, Trócsányi 1997
D parameter
D
xµ = 1
xµ = 0.1
: L3 datalines : NLO QCD
0 0.2 0.4 0.6 0.8 110-4
10-3
10-2
10-1
100
8
Legacy of LEP Precision Measurements
Challenges with D parameter: Resummation
NLL: D → 0 has many regions
State of the art NLL: Restrict to near-planar region
Banfi, Dokshitzer, Marchesini, Zanderighi 2001
Can have the same value of D0.01
0.1
1
10
0 0.2 0.4 0.6 0.8 1
σ-1dσ/dD
D
PTPT+NP
y3 > 0.1Not inclusive over final state
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Legacy of LEP Precision Measurements
Challenges with D parameter: Resummation
Banfi, Dokshitzer, Marchesini, Zanderighi 2001
0.01
0.1
1
10
0 0.2 0.4 0.6 0.8 1
σ-1dσ/dD
D
PTPT+NP
y3 > 0.1Inclusive over everything but D
≠
10
This Talk
Remove all vestigial restrictions on the event
Resum D parameter to NLL as proof-of-concept
Approach inspired by developments in jet substructureReview: AJL, Moult, Nachman 2017
+d�
dD=
11
This Talk
Method: • Identify distinct configurations • Resum Separately • Sum together
+d�
dD=
d�di-jet
dD
d�tri-jet
dD
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Spherocity Tensor
C and D are defined from the eigenvalues of the spherocity tensor
⇥↵� =1
Q
X
i
pi↵pi�Ei
C = 3(�1�2 + �1�3 + �2�3) =3
Q2
X
i<j
EiEj sin2 ✓ij
D = 27�1�2�3 =27
Q3
X
i<j<k
|pi · (pj ⇥ pk)|2
EiEjEk
�1 � �2 � �3 �1 + �2 + �3 = 1
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Spherocity Tensor
C = 3(�1�2 + �1�3 + �2�3) =3
Q2
X
i<j
EiEj sin2 ✓ij
D = 27�1�2�3 =27
Q3
X
i<j<k
|pi · (pj ⇥ pk)|2
EiEjEk
C ≈ (area of triangle)2Ei
Ej
✓ij
D ≈ (volume of parallelpiped)2
pi
pjpk
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Spherocity Tensor
Simultaneous measurement of C and D isolate configurations!
• Region 1: Large Areas, Small Volumes
• Region 2: Small Areas, Smaller Volumes
• Region 3: Small Areas, Small Volumes
Three parametric relations in D → 0 limit:
D ⌧ C2 ⇠ 1
D ⌧ C2 ⌧ 1
�3 ⌧ �2 ⇠ �1 ⇠ 1
�3 ⌧ �2 ⌧ �1 ⇠ 1
�3 ⇠ �2 ⌧ �1 ⇠ 1 D ⇠ C2 ⌧ 1
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Spherocity Tensor
Simultaneous measurement of C and D isolate configurations!
d�
dD=
ZdC
d�I
dC dD+
d�II
dC dD+
d�III
dC dD
�End goal:
Each of these cross sections are easy to calculate!!!
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Region 1 Resummation
C = 3(�1�2 + �1�3 + �2�3) ! 3�1�2
D = 27�1�2�3 = 27�21�
22
�3
�1�2⌧ C2
�3 ⌧ �2 ⇠ �1 ⇠ 1
D ⇠ ⇠ C ⇠ 1
Region considered by Banfi, et al., 2001
Only large logs are of D/C2 ~ D
Additional soft/collinear emissions do not affect event plane
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Region 1 Resummation�3 ⌧ �2 ⇠ �1 ⇠ 1
D ⇠ ⇠ C ⇠ 1
Factorization:d�I
dx1 dx2 dD= H(x1, x2)J1(D)⌦ J2(D)⌦ J3(D)⌦ S123(D)
Ji(D)
H(x1, x2)
S123(D)
Resummation by RG evolution from hard scale to
soft and jet scales
C = 6(1� x1)(1� x2)(1� x3)
x1x2x3
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Region 2 Resummation
D ⇠
Novel configuration
Large logs of both C and D/C2
Additional soft/collinear emissions do not affect event plane
�3 ⌧ �2 ⌧ �1 ⇠ 1
C = 3(�1�2 + �1�3 + �2�3) ! 3�2
D = 27�1�2�3 ! 27�22�3
�2⌧ C2
⇠ C ⌧ 1
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Region 2 Resummation
D ⇠
Just a re-factorization of the hard function from region 1
Now, there is the 2 → 2 hard function H and the splitting
function H2→3
�3 ⌧ �2 ⌧ �1 ⇠ 1
⇠ C ⌧ 1
Factorization:d�II
dx1 dx2 dD= H(Q2)H2!3(x1, x2)J1(D)⌦ J2(D)⌦ J3(D)⌦ S123(D)
S123(D)Ji(D)
H(Q2)H2!3(x1, x2)
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Combining Regions 1 and 2
Option 1: Just additively match
d�
I&II
dx1 dx2 dD=
d�
I
dx1 dx2 dD+
d�
II
dx1 dx2 dD� d�
I!II
dx1 dx2 dD
Exact to any logarithmic accuracy
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Combining Regions 1 and 2
Option 2: Set scales to smoothly interpolate
d�I&II
dx1 dx2 dD= H(Q2)H2!3(x1, x2)J1(D)⌦ J2(D)⌦ J3(D)⌦ S123(D)
When C ~ 1, H(Q2) → 1
When C ≪1, H2→3 → region 2 value
22
Combining Regions 1 and 2
Option 2: Set scales to smoothly interpolate
d�I&II
dx1 dx2 dD= H(Q2)H2!3(x1, x2)J1(D)⌦ J2(D)⌦ J3(D)⌦ S123(D)
µH2!3 =
8><
>:
✓A1
(2�x1�x2)C6
1+⇣A1� 6
(2�x1�x2)C1
⌘(2�x1�x2)C
6
◆1/2
Q , C < C1 ,
Q , C > C1 .
Exact to NLL accuracy
May not hold at higher orders
23
Region 3 Resummation
D ⇠
Novel configuration
Additional soft/collinear emissions can affect event plane
�3 ⇠ �2 ⌧ �1 ⇠ 1
C = 3(�1�2 + �1�3 + �2�3) ! 3(�2 + �3)
D = 27�1�2�3 ! 27�2�3 ⇠ C2
Only large logs are of C2 ~ D
⇠ C2
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Region 3 Resummation
Issues:
D is not additive; convolution doesn’t work
Want for Factorization:�3 ⇠ �2 ⌧ �1 ⇠ 1
d�III
dC dD= H(Q2)J1(C,D)⌦ J2(C,D)⌦ S12(C,D)
Because emissions that set D contribute to C, need to keep track of all emissions
May be related to recent work on non-global logarithmsCaron-Huot 2015; AJL, Moult, Nachman 2015; Becher, Neubert, Shao 2016; Ángeles Martínez, De Angelis, Forshaw, Plätzer, Seymour 2018
25
Region 3 Resummation Redux
Throw out factorization!�3 ⇠ �2 ⌧ �1 ⇠ 1
p(C,D) = p(C)p(D|C)
d�
dC dD=
d�
dC
d�(C)
dD
Exploit conditional probabilities to make progress
d�
dCCalculable to high fixed
and resummed order
d�(C)
dDHas all of the subtleties
of this region
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Region 3 Resummation Redux
To make progress, we calculate what we can�3 ⇠ �2 ⌧ �1 ⇠ 1
Exact to NLL:
Misses some logs at NLL
d�NLL
dC dD=
d�NLL
dC
d�(C)NLL
dD
Approximate NLL: d�NLL
dC dD⇡ d�NLL
dC
d�(C)↵2s
dD
Think it gets all logs to 𝛼sn logn+1
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Region 3 Resummation Redux
Need to restrict to D ~ C2�3 ⇠ �2 ⌧ �1 ⇠ 1
Then, can additively match with regions 1 and 2
Advantages
d�III
dC dD⇡ d�NLL
dC
"d�(C)↵
2s
dD� d�(C)↵
2s,D⌧C2
dD
#
DownsidesGets a result
Systematically improvableNo formal logarithmic accuracy
Requires new definition of formal accuracy?
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Complete Result
Now just combine and integrate over C!
d�
dD=
Z 3/4
p43D
dC
d�I&II
dC dD+
d�III
dC dD
�
Maximum value of C when D → 0
From constraint in region 3 C ≈ 3(λ2+λ3) D ≈ 27 λ2λ3
All overlaps have been subtracted
Accomplishes fully inclusive resummation of the D parameter!
29
Conclusions
The D parameter is one of the legacy precision measurements from LEP
Expect comparisons to LEP data soon!
Due to its complicated event selection, only near-planar region had been resummed
Inclusive resummation accomplished secondary measurement that simplifies event configuration