jet production in the colorful nnlo frameworkadam kardos ! university of debrecen, mta-de particle...

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Adam Kardos University of Debrecen, MTA-DE Particle Physics Research Group and NCSR “Demokritos", Athens Jet production in the colorful NNLO framework

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  • Adam Kardos !

    University of Debrecen, MTA-DE Particle Physics Research Group

    and NCSR “Demokritos", Athens

    !

    Jet production in the colorful NNLO framework

  • QCD matters

    •Relatively large coupling ⇒ final state is QCD dominated. •Key processes have irreducible QCD background and/or QCD corrections.

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    3.0

    d�2j

    d|⌘1|[M

    eV]

    0.0 0.5 1.0 1.5 2.0 2.5 3.0

    |⌘1|

    Durham clustering at ycut = 0.05

    µ 2 [0.5, 2]mHLONLONNLO

    Del Duca et al. arXiv:1501.07226H bb decay @ NNLO-

    •High precision experiments demand high precision predictions.

    •Large scale uncertaint(y)(ies).

  • Road to high precision predictions

    How to increase precision?

    Go one step further in the perturbative expansion:

    � = �LO + �NLO + �NNLO + . . .

    The aim: numerical calculation kinematical singularities due to soft/collinear parton emissions are treated with local subtractions.@NLO:

    �NLO =

    Z

    m+1

    hd�RmJm+1 � d�

    R,Am+1Jm

    i+

    Z

    m

    d�Vm +

    Z

    1d�R,Am+1

    �Jm

    Singly unresolved

  • The Colorful NNLO framework

  • The Colorful NNLO framework

    @NNLO:�NNLO =

    =

    Z

    m+2

    n

    d�RRm+2Jm+2 � d�RR,A2m+2 Jm �

    h

    d�RR,A1m+2 Jm+1 � d�RR,A12m+2 Jm

    io

    "=0

    +

    Z

    m+1

    (

    d�RVm+1 +

    Z

    1d�RR,A1m+2

    Jm+1 �"

    d�RV,A1m+1 +

    Z

    1d�RR,A1m+2

    ◆A1#

    Jm

    )

    "=0

    +

    Z

    m

    (

    d�VVm +

    Z

    2

    h

    d�RR,A2m+2 � d�RR,A12m+2

    i

    +

    Z

    1

    "

    d�RV,A1m+1 +

    Z

    1d�RR,A1m+2

    ◆A1#)

    "=0

    Jm

    The Colorful NNLO framework was worked out for colorless initial states by Del Duca, Somogyi, Trocsanyi et al., for detailed information see Gabor’s talk…

  • The Colorful NNLO framework

    @NNLO:

    Z

    m

    (d�VVm +

    Z

    2

    hd�RR,A2m+2 � d�

    RR,A12m+2

    i+

    Z

    1

    "d�RV,A1m+1 +

    ✓Z

    1d�RR,A1m+2

    ◆A1#)

    "=0

    Jm

    m-parton line:

    •Free of kinematical singularities (jet-function!). •Contains the integrals of the subtraction terms ( see the talk of Gabor on thursday afternoon, too).

    •State of the art: Two-loop amplitude ( & integration of subtraction terms).

  • The Colorful NNLO framework

    @NNLO:m+1-parton line:

    •Only singly unresolved regions present. •But RV has different factorization properties (one-loop amplitude is involved).

    •State of the art: fast and precise evaluation of the involved one-loop amplitude (even in the singly unresolved region!).

    Z

    m+1

    (✓d�RVm+1 +

    Z

    1d�RR,A1m+2

    ◆Jm+1 �

    "d�RV,A1m+1 +

    ✓Z

    1d�RR,A1m+2

    ◆A1#Jm

    )

    "=0

  • The Colorful NNLO framework

    @NNLO:

    m+2-parton line:

    •Both singly and doubly unresolved regions present. •Also spurious ones! e.g.: kinematical singularities of A2 in singly and kinematical singularities of A1 in doubly unresolved regions.

    Z

    m+2

    n

    d�RRm+2Jm+2 � d�RR,A2m+2 Jm �

    h

    d�RR,A1m+2 Jm+1 � d�RR,A12m+2 Jm

    io

    "=0

  • The Colorful NNLO framework

    m+2-parton line:

    •RR SME still tree-level, but contains two partons more compared to the Born one.

    •Several subtraction terms. For O(100). •Generation of UB PS points (momentum mappings) and the corresponding UB SMEs.

    •Application of physical cuts. •Filling histograms.

    Bottleneck(s):

    e+ e� ! u ū g g g

  • The Colorful NNLO framework

    •Several subprocesses contribute. •Various subtraction terms have to be calculated. •Subtraction terms present a twofold problem: heavy bookkeeping due to the immense number of terms, a clever grouping is needed to ease up (a bit) the computational burden.

    Bottom line:

    ⇒More profitable to automatize subtractions!

  • A numerical implementation of the Colorful NNLO framework

  • A numerical implementation

    For demonstration we take e+ e- to 3-jet production.

    The code is organized directory-wise, for a new process a new folder has to be created:

  • A numerical implementation

    The generation of all subprocesses is automatic:

  • A numerical implementation

    Investigating for possible numerical relations between SMES:

  • A numerical implementation

    Automatic detection of all singular regions:

  • A numerical implementation

    An NNLO calculation is extremely complex. Due to this complexity it is good practice to make as much checks as possible.

    In our code the following ones are built in:

    •Check upon individual subtraction terms, e.g.:

    limpi||pr||ps

    Cirs|MRR|2

    = 1

    •Checking bookkeeping and overall consistency by checking complete lines, e.g.:

    limpi||pr, ps!0

    A1 +A2 �A12|MRR|2

    = 1

  • A numerical implementation

    Testing the subtraction terms in all limits (even in quad precision):

  • A numerical implementationTesting the whole m+2 parton line:

    Doubly unresolved

    Singly unresolved:

  • A numerical implementation

    Behavior of the m+2 parton line in a triple and double collinear limit.

    2

    5

    10

    2

    5

    10

    2

    2

    5

    10

    3

    2

    5

    10

    4

    #ofevents

    0.999 0.9995 1.0 1.0005 1.001

    ratio

    y567 = 10�6

    y567 = 10�8

    y567 = 10�10

    e+ e� ! q q̄ g g gA1+A2�A12

    |MRR|2, p5||p6||p7

    2

    5

    10

    2

    5

    10

    2

    2

    5

    10

    3

    2

    5

    10

    4

    #ofevents

    0.999 0.9995 1.0 1.0005 1.001

    ratio

    y56 = y47 = 10�4

    y56 = y47 = 10�5

    y56 = y47 = 10�6

    e+ e� ! q q̄ g g gA1+A2�A12

    |MRR|2

    p5||p6, p4||p7

  • A numerical implementation

    Behavior of the m+2 parton line in a collinear and a soft limit.

    2

    5

    10

    2

    5

    10

    2

    2

    5

    10

    3

    2

    5

    10

    4

    #ofevents

    0.999 0.9995 1.0 1.0005 1.001

    ratio

    y56 = 10�6

    y56 = 10�8

    y56 = 10�10

    e+ e� ! q q̄ g g gA1+A2�A12

    |MRR|2, p5||p6

    2

    5

    10

    2

    5

    10

    2

    2

    5

    10

    3

    2

    5

    10

    4

    #ofevents

    0.999 0.9995 1.0 1.0005 1.001

    ratio

    y6 = 10�4

    y6 = 10�5

    y6 = 10�6

    e+ e� ! q q̄ g g gA1+A2�A12

    |MRR|2

    p6 ! 0

  • Towards phenomenology

  • e+ e- ➞3 jets

    Considering only e+ + e�!�⇤!3 jets

    NNLO* : no VV and I operators, hence non-physical, though still informative.ps = 90GeV

    µR = mZmZ = 91.1876GeV , mW = 80.385GeV↵s(mZ) = 0.118, 1/↵EM = 132.23

    Calculating key event shape variables. For a precise definition, see: Gehrmann-De Ridder et al., arXiv:0711.4711 and also Kunszt et al. QCD at LEP, ETH-PT-89-39.

    The whole calculation took 4+4 hours on 300 cores.

  • e+ e- ➞3 jets

    0

    5

    10

    15

    20

    25

    BT

    d�

    dBT[pb]

    0.0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4

    BT

    NNLO⇤

    e+ e� ! �⇤ ! 3jetps = 90GeV

    µR = mZ

    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    20

    BW

    d�

    dBW[pb]

    0.0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4

    BW

    NNLO⇤

    e+ e� ! �⇤ ! 3jetps = 90GeV

    µR = mZ

    Total and wide jet broadening:

    Preliminary

  • e+ e- ➞3 jets

    The jet transition variable and large hemisphere invariant mass:

    Preliminary

    0

    2

    4

    6

    8

    10

    12

    ⇢d� d⇢[pb]

    0.0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4⇢

    NNLO⇤

    e+ e� ! �⇤ ! 3jetps = 90GeV

    µR = mZ

    0.0

    0.05

    0.1

    0.15

    0.2

    0.25

    0.3

    0.35

    0.4

    Y3d�

    dY3[pb]

    0 1 2 3 4 5 6 7 8 9 10

    � log Y3

    NNLO⇤

    e+ e� ! �⇤ ! 3jetps = 90GeV

    µR = mZ

  • e+ e- ➞3 jets

    The jet transition variable and large hemisphere invariant mass:

    Preliminary

    0

    2

    4

    6

    8

    10

    12

    14

    16

    (1�

    T)d

    �dT[pb]

    0.0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4

    1-T

    NNLO⇤

    e+ e� ! �⇤ ! 3jetps = 90GeV

    µR = mZ

    0

    2

    4

    6

    8

    10

    12

    14

    16

    Cd�

    dC[pb]

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    C

    NNLO⇤

    e+ e� ! �⇤ ! 3jetps = 90GeV

    µR = mZ

  • e+ e- ➞3 jets

    … and even a completely new one, never appeared in the literature before:

    Prel

    imin

    ary

    0

    1

    2

    3

    4

    5

    6

    7

    sin

    2�d⌃EEC

    dcos�[pb]

    -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0

    cos�

    NNLO⇤

    e+ e� ! �⇤ ! 3jetps = 90GeV

    µR = mZ

    Energy-energy correlation:

    Calculation cost: 7 hours @ 300 cores.

  • Conclusions

  • Conclusions

    •A general numerical NNLO framework is introduced to manage subtractions for the case of e+ e- annihilation.

    •It contains all subtraction terms, the user only has to provide his/her matrix elements (the I operators will also be included).

    •The framework was applied to 3-jet production to obtain some key distributions.

    •The inclusion of the I operators and the VV part for 3-jet production is in progress.

  • Thank you for your attention!