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N3LO P_gg P_gq 5th moment #317

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11 changes: 11 additions & 0 deletions doc/source/refs.bib
Original file line number Diff line number Diff line change
Expand Up @@ -1021,3 +1021,14 @@ @article{Falcioni:2023tzp
month = "10",
year = "2023"
}

@article{Moch:2023tdj,
author = "Moch, S. and Ruijl, B. and Ueda, T. and Vermaseren, J. and Vogt, A.",
title = "{Additional moments and x-space approximations of four-loop splitting functions in QCD}",
eprint = "2310.05744",
archivePrefix = "arXiv",
primaryClass = "hep-ph",
reportNumber = "DESY-23-150, Nikhef 23-016, LTH 1354",
month = "10",
year = "2023"
}
42 changes: 21 additions & 21 deletions doc/source/theory/N3LO_ad.rst
Original file line number Diff line number Diff line change
Expand Up @@ -90,16 +90,16 @@ In |EKO| they are implemented as follows:
- The large-N limit :cite:`Moch:2017uml`, which reads (Eq. 2.17):

.. math ::
\gamma_{ns} \approx A^{(f)}_4 S_1(N) - B_4 + C_4 \frac{S_1(N)}{N} - D_4 \frac{1}{N}
\gamma_{ns} \approx A^{(f)}_4 S_1(N) - B^{(f)}_4 + C^{(f)}_4 \frac{S_1(N)}{N} - D^{(f)}_4 \frac{1}{N}

This limit is common for all :math:`\gamma_{ns,+}^{(3)},\gamma_{ns,-}^{(3)},\gamma_{ns,v}^{(3)}`.
The coefficient :math:`A^{(f)}_4`, being related to the twist-2 spin-N operators,
can be obtained from the |QCD| cusp calculation
:cite:`Henn:2019swt`, while the :math:`B_4` is fixed by the integral of the 4-loop splitting function
:cite:`Henn:2019swt`, while the :math:`B^{(f)}_4` is fixed by the integral of the 4-loop splitting function
and has been firstly computed in :cite:`Moch:2017uml` in the large :math:`n_c` limit.
More recently :cite:`Duhr:2022cob`, it has been determined in the full color expansion
by computing various |N3LO| cross sections in the soft limit.
:math:`C_4,D_4` instead can be computed directly from lower order splitting functions.
:math:`C^{(f)}_4,D^{(f)}_4` instead can be computed directly from lower order splitting functions.
From large-x resummation :cite:`Davies:2016jie`, it is possible to infer further constrains
on sub-leading terms :math:`\frac{\ln^k(N)}{N^2}`, since the non-singlet splitting
functions contain only terms :math:`(1-x)^a\ln^k(1-x)` with :math:`a \ge 1`.
Expand Down Expand Up @@ -234,11 +234,11 @@ The other parts are approximated using some known limits:
It is known that :cite:`Albino:2000cp,Moch:2021qrk` the diagonal terms diverge in N-space as:

.. math ::
\gamma_{kk} \approx A^{(r)}_4 S_1(N) + B^{(r)}_4 + C^{(r)}_4 \frac{S_1(N)}{N} + \mathcal{O}(\frac{1}{N})
\gamma_{kk} \approx A^{(r)}_4 S_1(N) + B^{(r)}_4 + C^{(r)}_4 \frac{S_1(N)}{N} - D^{(r)}_4 \frac{1}{N}

Where again the coefficient :math:`A^{(r)}_4` is the |QCD| cusp anomalous dimension for the adjoint or fundamental representation,
the coefficient :math:`B^{(r)}_4` has been extracted from soft anomalous dimensions :cite:`Duhr:2022cob`.
and :math:`C^{(r)}_4`can be estimate from lower orders :cite:`Dokshitzer:2005bf`.
and :math:`C^{(r)}_4,D^{(r)}_4`can be estimate from lower orders :cite:`Dokshitzer:2005bf`.
However, :math:`\gamma_{qq,ps}^{(3)}` do not constrain any divergence at large-x or constant term so its expansion starts as
:math:`\mathcal{O}(\frac{1}{N^2})`.
The off-diagonal do not contain any +-distributions or delta distributions but can include divergent logarithms
Expand All @@ -257,14 +257,14 @@ The other parts are approximated using some known limits:
\gamma_{qq,ps} \approx (1-x)[c_{4} \ln^4(1-x) + c_{3} \ln^3(1-x)] + \mathcal{O}((1-x)\ln^2(1-x))


* The 4 lowest even N moments provided in :cite:`Moch:2021qrk`, where we can use momentum conservation
to fix:
* The 5 lowest even N moments provided in :cite:`Moch:2021qrk,Moch:2023tdj`,
where momentum conservation fixes:

.. math ::
& \gamma_{qg}(2) + \gamma_{gg}(2) = 0 \\
& \gamma_{qq}(2) + \gamma_{gq}(2) = 0 \\

For :math:`\gamma_{qq,ps}, \gamma_{qg}` other 6 additional moments are available :cite:`Falcioni:2023luc,Falcioni:2023vqq`.
For :math:`\gamma_{qq,ps}, \gamma_{qg}` other 5 additional moments are available :cite:`Falcioni:2023luc,Falcioni:2023vqq`.
making the parametrization of this splitting function much more accurate.

The difference between the known moments and the known limits is parametrized
Expand All @@ -281,9 +281,9 @@ we need to account for a possible source of uncertainties arising during the app
This uncertainty is neglected in the non-singlet case.

The procedure is performed in two steps for each different anomalous dimension separately.
First, we solve the system associated to the 4 known moments,
First, we solve the system associated to the 5 (10) known moments,
minus the known limits, using different functional bases.
Any possible candidate contains 4 elements and is obtained with the following prescription:
Any possible candidate contains 5 elements and is obtained with the following prescription:

1. one function is leading small-N unknown contribution, which correspond to the highest power unknown for the pole at :math:`N=1`,

Expand Down Expand Up @@ -317,29 +317,29 @@ final reduced sets of candidates.
:align: center

* - :math:`f_1(N)`
- :math:`\frac{S_2(N-2)}{N}`
- :math:`\frac{1}{(N-1)^2}`
* - :math:`f_2(N)`
- :math:`\frac{1}{N}`
- :math:`\mathcal{M}[(1-x)\ln^3(1-x)]`
* - :math:`f_3(N)`
- :math:`\frac{1}{N-1},\ \frac{S_1(N)}{N^2}`
- :math:`\frac{1}{N-1},`
* - :math:`f_4(N)`
- :math:`\frac{1}{N-1},\ \frac{1}{N^4},\ \frac{1}{N^3},\ \frac{1}{N^2},\ \frac{1}{(N+1)^3},\ \frac{1}{(N+1)^2},\ \frac{1}{N+1},\ \frac{1}{N+2},\ \mathcal{M}[(1-x)\ln(1-x)],\ \frac{S_1(N)}{N^2}, \ \mathcal{M}[(1-x)^2\ln(1-x)],`
- :math:`\frac{1}{N^4},\ \frac{1}{N^3},\ \frac{1}{N^2},\ \frac{1}{(N+1)},\ \frac{1}{(N+2)},\ \mathcal{M}[(1-x)\ln^2(1-x)],\ \mathcal{M}[(1-x)\ln(1-x)]`

.. list-table:: :math:`\gamma_{gq}^{(3)}` parametrization basis
:align: center

* - :math:`f_1(N)`
- :math:`\frac{S_2(N-2)}{N}`
- :math:`\frac{1}{(N-1)^2}`
* - :math:`f_2(N)`
- :math:`\frac{S_1^3(N)}{N}`
- :math:`\mathcal{M}[\ln^3(1-x)]`
* - :math:`f_3(N)`
- :math:`\frac{1}{N-1},\ \frac{1}{N^4}`
- :math:`\frac{1}{N-1}`
* - :math:`f_4(N)`
- :math:`\frac{1}{N-1},\ \frac{1}{N^4},\ \frac{1}{N^3},\ \frac{1}{N^2},\ \frac{1}{N},\ \frac{1}{(N+1)^3},\ \frac{1}{(N+1)^2},\ \frac{1}{N+1},\ \frac{1}{N+2},\ \frac{S_1(N-2)}{N},\ \mathcal{M}[\ln^3(1-x)],\ \mathcal{M}[\ln^2(1-x)], \frac{S_1(N)}{N},\ \frac{S_1^2(N)}{N}`
- :math:`\frac{1}{N^4},\ \frac{1}{N^3},\ \frac{1}{N^2},\ \frac{1}{(N+1)},\ \frac{1}{(N+2)},\ \mathcal{M}[\ln^2(1-x)],\ \mathcal{M}[\ln(1-x)]`

Note that this table refers only to the :math:`n_f^0` part where we assume no violation of the scaling with :math:`\gamma_{gg}`
also for the |NLL| term, to help the convergence. We expect that any possible deviation can be parametrized as a shift in the |NNLL| terms
and in the |NLL| :math:`n_f^1` which are free to vary independently.
Following :cite:`Moch:2023tdj` we have assumed no violation of the scaling with :math:`\gamma_{gg}`
also for the |NLL| small-x term, to help the convergence. We expect that any possible deviation can be parametrized as a shift in the |NNLL| terms
which are free to vary independently.

Slightly different choices are performed for :math:`\gamma_{gq}^{(3)}` and :math:`\gamma_{qq,ps}^{(3)}`
where 10 moments are known. In this case we can select a larger number of functions in group 3
Expand Down
4 changes: 2 additions & 2 deletions extras/n3lo_bench/plot_msht.py
Original file line number Diff line number Diff line change
Expand Up @@ -14,8 +14,8 @@


n3lo_vars_dict = {
"gg": 17,
"gq": 24,
"gg": 19,
"gq": 21,
"qg": 15,
"qq": 6,
}
Expand Down
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