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Juan Rojo
VU Amsterdam & Theory group, Nikhef
on behalf of the NNPDF Collaboration
News from NNPDF:
QED, small-x, and ⍺S fits
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
2
Outline
The NNPDF3.1 global analysis was released in June 2017 (arxiv:1706.00482, EPJC in press).
Since then, most of our efforts have been focused on three spin-offs of the NNPDF3.1 fits:
NNPDF3.1QED and the photon PDF using the LUXqed formalism
NNPDF3.1 fits with small-x (BFKL) resummation
A determination of ⍺S(mZ) based on the NNPDF3.1 analysis
In this talk we report on the progress in these three topics
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
NNPDF3.1QED
3Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
4
Motivation
The NNPDF2.3/3.0QED fits were data-driven determinations of the photon PDF ɣ(x,Q), freely
parametrised in terms of an ANN, and the constrained by LHC Drell-Yan measurements
Data-driven QED fits are not competitive anymore with the semi-analytical calculation of the
photon PDF using the LUXqed formalism in terms of the inclusive structure functions
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
It is clearly more advantageous to perform a QED fit imposing the LUXqed theory constraints
on the photon PDF ɣ(x,Q), rather than extracting it from experimental measurements
NNPDF 13, Bertone and Carrazza 15
Manohar, Nason, Salam, Zanderighi 16, 17
5
Motivation
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Figure 5. Same as Fig. 3 f
x
-1
10
)2
(x,Qγx
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
2
= 10000 GeV2
Q
xFitter_epHMDY
LUXqed
HKR16
NNPDF30qed
Figure 6. Left plot: comparison between the photon x (x,
(xFitter_epHMDY) with the corresponding results from NNPDF
Few-percent PDF uncertainties on ɣ(x,Q)
Agreement within errors with NNPDF3.0QED
Even using one of the most sensitive
processes to photon-initiated contributions,
high-mass DY at 8 TeV, uncertainties in
ɣ(x,Q) still at the 30% level
xFitter Developer’s Team 17
6Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
The NNPDF3.1QED fits will impose the LUXqed formalism as an external theoretical constrain:
Another important update in the NNPDF3.1QED fits is the use of NLO QED theory both in
splitting functions and in the DIS coefficient functions, implemented in the APFEL code
NNPDF3.1QED: strategy
Bertone, Carrazza, Rojo 13
``FiatLUX’’, Carrazza in preparation
i.e. generate Nrep photon PDFs ɣ(k)(x,Q)
from the Nrep NNPDF3.1 quarks and gluons
7Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Preliminary results
=
γ ( , ) = γ ( , ) +
=
δσ N( , )
= .
PDF + LUXqed systematic uncertainties PDF-only uncertainties
Good agreement between NNPDF3.1QED and the LUXqed photon PDF
The LUXqed systematic uncertainties on ɣ(x,Q) are included as extra Gaussian fluctuations
8Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Preliminary results
The iterative procedure converges very
fast (within 2 iterations at most)
At the level of quarks and gluons, the
differences between the NNPDF3.1
QCD and QCD+QED fits are minimal
9Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Fits with photon-initiated contributions
The previous results are based on fits where the PI contributions are added only to the DIS SFs
In principle one needs to add them to all hadronic processes, but this is very cumbersome
We have checked that NNPDF3.1QED results are stable once PI contributions added to the
LHCb Z production data, which are directly sensitive to the photon PDF at large x
The fits are mostly insensitive to the inclusion of PI effects in the LHCb cross-sections
Even smaller effects on ɣ(x,Q) would then arise for the rest of the datasets in NNPDF3.1
Parton Distributions
with Small-x Resummation
10Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
11
Motivation I: beyond fixed-order DGLAP
Perturbative fixed-order QCD calculations have been extremely successful in describing a wealth of
data from proton-proton and electron-proton collisions
However, there are theoretical indications that eventually we might need to go beyond DGLAP:
At very small-x, logarithmically enhanced terms in 1/x become dominant and need to be
resummed to all orders: small-x/high-energy/BFKL resummation formalism.
The steep rise in the small-x gluon will eventually trigger non-linear recombinations: gluon
saturation, BK/JIMWLK equations …..
BFKL resummation can be matched to the DGLAP collinear framework, and thus can in principle be
included into a standard PDF analysis
DGLAP
Evolution in Q2
BFKL
Evolution in x
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Altarelli, Ball, Forte 08
Ciafalini, Colferai, Salam, Stasto 07
Thorne and White 07
+ others
Within small-x resummation, the NkLO fixed-order DGLAP splitting functions
are complemented with the NhLLx contributions from BKFL
12
Motivation II: tensions in inclusive HERA data?
Several groups have reported that the fit quality to
the legacy HERA inclusive data gets worse in the
small-x and small-Q region
Typically this trend is more marked at NNLO
Several explanations have been advocated, from
higher twists (i.e. saturation), issues with the heavy
quark schemes, experimental systematics, …
What happens if the PDF fit includes NLLx
resummation?
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Figure 6: Comparison of the up quark (left plot) and total quark singlet (right plot) in a HERA-I only fit
in a PDF fit based on the final HERA-I+II combination.
Figure 7: The value of c2/Ndat for the legacy HERA combination in the variants of the NNPDF3.0 fits w
different values of Q2
cut, for the NLO and NNLO fits.
in the analysis. Such instability, if confirmed by other groups, could have different origins, like
inadequacy of the theory used for the fit, for example if small-x (BFKL) resummation [26] is need
to describe the precise inclusive HERA data at low-x and low-Q2. To verify this observation,
have produced variants of the NNPDF3.0 global fit, including the HERA legacy combination,
different values of Q2
min. The results of this study are summarized in Fig. 7, where we show for
NLO and NNLO fits the value of c2/Ndat as a function of Q2
cut.
From Fig. 7 we see that also in NNPDF3.0 we observe that the c2/Ndat of the HERA d
decreases quite rapidly as Q2
cut is increased, more at NNLO than at NLO. This effect disappe
for Q2
min 10 GeV2, for which the c2 profiles essentially flatten out. Interestingly, for Q2
min
GeV2 we see that the quality of the NNLO fit is essentially the same or better than for the NLO
These results are consistent with the possibility of large unresummed small-x logarithms, thou
6
NNPDF 15
MMHT 15HERAPDF 15
13
PDFs with BFKL resumation
Ultimately, the need for (or lack of) BKFL resummation can only be assessed by performing a global
PDF analysis with (N)NLO+NLLx matched theory
Theoretical tools are now available: HELL for NLLx resummation, interfaced to the public APFEL code
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Bonvini, Marzani, Peraro 16
Bonvini, Marzani, Muselli 17
https://www.ge.infn.it/~bonvini/hell/
14
Ultimately, the need for (or lack of) BKFL resummation can only be assessed by performing a global
PDF analysis with (N)NLO+NLLx matched theory
Theoretical tools are now available: HELL for NLLx resummation, interfaced to the public APFEL code
PDFs with BFKL resumation
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
At small-x, NNLO+NNLx coefficient functions for DIS
structure functions soften the steep rise of the N3LO result
Bonvini, Marzani, Peraro 16
Bonvini, Marzani, Muselli 17
15
Global PDFs with BFKL resummation
Performed a variant of the NNPDF3.1 global fits using NLO+NLLx and NNLO+NLLx theory
Small-x resummation of partonic cross-sections included only for DIS structure functions: remove all
collider data with potential sensitivity to small-x effects
Using NNLO+NLLx theory stabilises small-x gluon, leading to improved agreement with NLO result
Improved perturbative convergence of the small-x gluons
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
16
Fit quality at small-x and Q2
In order to assess the impact of small-x resummation for the description of the small-x and Q2 HERA data,
compute the χ2 removing data points in the region where resummation effects are expected
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Small-x resummation effects
could be important here
Fixed-order theory
should work fine here
17
NNLO+NLLx close to NLO
small x and Q2 large x and Q2
Cut in small-x and Q HERA data
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Using NNLO+NLLx theory, the NNLO instability of the χ2 disappears
Excellent fit quality to inclusive HERA data achieved in the entire (x,Q2) region accessible experimentally
Fit quality at small-x and Q2
18Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Comparison with HERA data
Using NNLO+NLLx theory, improved
description of the small-x NC cross-sections,
in particular of the change of slope
Also improved description of FL, which
moreover remains markedly positive down
to the smallest values of x and Q probed
Provide state-of-the-art predictions for the UHE
neutrino nucleus cross-sections for neutrino telescopes
19
From the LHC to Neutrino Telescopes
Using better theory
Using better data
UHE neutrino
Constraints from LHCb D production
Constraints from BFKL resummation
Gauld, Rojo 16
NNPDF in preparation
The strong coupling constant ⍺S(mZ)
from the NNPDF3.1 analysis
20Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
0.112 0.113 0.114 0.115 0.116 0.117 0.118 0.119 0.120
S (MZ )
Heavy: 68% CL
Light: 95% CL
NNPDF3.1
NNPDF2.1
MMHT
ABMP16
JR
PDG2017
Figure 3.1: INCOMPLETE FIGURE
4 Methodological and theoretical uncertainties
In this section we assess in some detail various methodological and theoretica
a↵ect the ↵s(mZ) determination presented in the previous section. We also s
of our results with respect to the choice of input dataset, by providing deter
collider-only and proton-only datasets.
6
The last determination of ⍺S(mZ) within the NNPDF framework was based on the NNPDF2.1 fit
A large number of MC replicas (between 1000 and 100) generated for a range in ⍺S(mZ), and then a
parabola was fitted to the χ2 results of the best fit for each ⍺S(mZ) value
Theoretical uncertainties from MHOU estimated using the Cacciari-Houdeau method
Result in good agreement with the PDG average and with the MSTW08 determination
21Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Recap: ⍺S(mZ) determination from NNPDF2.1
⍺S(mZ) = 0.1173 ± 0.0007PDF ± 0.0009MHO NNPDF 11
NNPDF 10,11
22Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Motivation for an updated ⍺S(mZ) fit
Several of the new datasets included in NNPDF3.1 provide a direct handle on ⍺S(mZ): inclusive jets,
top quark pair differential distributions, the Z pT distribution, …
Exact NNLO theory is used for the calculations of all collider cross-sections, also for inclusive jet
production (removed the LHC 2.76 TeV jet data from the baseline fit since NNLO calculations not
yet available)
The wide NNPDF3.1 dataset allows the study in detail of the interplay between different classes of
processes that constrain the strong coupling constant
Improved methodology for the ⍺S(mZ) extraction, based on performing parabolic fits replica by
replica, keeping the correlations within the generated pseudo-data: this way, ⍺S(mZ) is determined
on exactly the same footing as the PDFs themselves, keeping all PDF-⍺S(mZ) correlations
This bypasses the need of using the ∆χ2=1 criterion (or any other value for the tolerance), which
might not be adequate in the presence of inconsistent experiments
23Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Fitting strategy
Fully correlated pseudo-data replicas are generated, and then fits with a range of ⍺S(mZ) values are
performed for each MC replica
A parabolic fit determines the preferred value of ⍺S(mZ) for each replica (points that fail to satisfy
quality criteria are removed, i.e., fits that have not converged)
The mean and variance of the preferred ⍺S(mZ) over the replica sample determines the central value
of ⍺S(mZ) and the associated 68% CL PDF uncertainty
24Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Fitting strategy
Some processes (jets, top, FT NC DIS, …) lead to marked parabolas, illustrating sensitivity to ⍺S(mZ)
Other processes, such as LHC Drell-Yan, are less sensitive, except for very small values of ⍺S(mZ)
25Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Preliminary results
Using the correlated replica method, we find that the NNPDF3.1 global analysis leads to:
⍺S(mZ, NNLO) = 0.1190 ± 0.0005PDF ⍺S(mZ, NLO) = 0.1219 ± 0.0007PDF
This is to be compared with the results obtained using the central fits and the ∆χ2=1 criterion:
⍺S(mZ, NNLO) = 0.1183 ± 0.0004PDF ⍺S(mZ, NLO) = 0.1214 ± 0.0004PDF
The best-fit ⍺S(mZ) value is driven by the jet, top, and FT NC DIS data. The higher value of ⍺S(mZ) as
compared to the NNPDF2.1 fit is partly due to the LHC DY and Z pT data.
26Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
Correlated replica method vs “Δχ2=1” method
In general there is reasonable
consistency between the two
methods, highlighting the
robustness of the results
The “∆χ2=1” method can
underestimate the real PDF
uncertainties, by a small amount
in some cases (total dataset, jets,
top) and by a large amount for
those processes with little
sensitivity to ⍺S(mZ), such as
HERA and FT Drell-Yan
Correlated Replica Method
“∆χ2=1” method
27Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
0.112 0.113 0.114 0.115 0.116 0.117 0.118 0.119 0.120
S (MZ )
Heavy: 68% CL
Light: 95% CL
NNPDF3.1
NNPDF2.1
MMHT
ABMP16
JR
PDG2017
Figure 3.1: INCOMPLETE FIGURE
Preliminary results
Good agreement with the PDG17 average, and consistent with the MMHT2014 determination
⍺S(mZ, NNLO, global) = 0.1190 ± 0.0005PDF
⍺S(mZ, NNLO, collider-only) = 0.1229 ± 0.0026PDF
Also repeated the analysis based on a collider-only dataset: not competitive with the global fit,
presumably because the constraints from the fixed-target DIS data still important
Only PDF uncertainties shown
28
Summary and outlook
Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
NNPDF3.1QED and the photon PDF using the LUXqed formalism
Preliminary results presented, final NNPDF3.1QED NLO and NNLO close to
completion. Good agreement with LUXqed, no changes for quarks and gluons
Release of the public library FiatLUX that implements the LUXqed formalism
Study of phenomenological implications at the LHC for PI processes
NNPDF3.1 fits with small-x (BFKL) resummation
Using NNLO+NLLx theory improves the perturbative expansion at small-x, cures the
chi2 instability, and the allows a better description of the inclusive HERA data
Implications for UHE astrophysics, as well as for future colliders (LHeC, FCC-hh/eh)
A determination of ⍺S(mZ) based on the NNPDF3.1 analysis
New approach developed, based on correlated MC replicas
The new fit result, ⍺S(mZ, NNLO) = 0.1190 ± 0.0005PDF, is consistent with the PDG
average but higher than other PDF-based determinations, mostly due to the pull of the
recent high-precision LHC data. Collider-only determinations still not competitive
Ongoing work towards an estimate of the theoretical uncertainties from MHO

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News from NNPDF: QED, small-x, and alphas(MZ) fits

  • 1. Juan Rojo VU Amsterdam & Theory group, Nikhef on behalf of the NNPDF Collaboration News from NNPDF: QED, small-x, and ⍺S fits Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
  • 2. 2 Outline The NNPDF3.1 global analysis was released in June 2017 (arxiv:1706.00482, EPJC in press). Since then, most of our efforts have been focused on three spin-offs of the NNPDF3.1 fits: NNPDF3.1QED and the photon PDF using the LUXqed formalism NNPDF3.1 fits with small-x (BFKL) resummation A determination of ⍺S(mZ) based on the NNPDF3.1 analysis In this talk we report on the progress in these three topics Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
  • 3. NNPDF3.1QED 3Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
  • 4. 4 Motivation The NNPDF2.3/3.0QED fits were data-driven determinations of the photon PDF ɣ(x,Q), freely parametrised in terms of an ANN, and the constrained by LHC Drell-Yan measurements Data-driven QED fits are not competitive anymore with the semi-analytical calculation of the photon PDF using the LUXqed formalism in terms of the inclusive structure functions Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 It is clearly more advantageous to perform a QED fit imposing the LUXqed theory constraints on the photon PDF ɣ(x,Q), rather than extracting it from experimental measurements NNPDF 13, Bertone and Carrazza 15 Manohar, Nason, Salam, Zanderighi 16, 17
  • 5. 5 Motivation Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Figure 5. Same as Fig. 3 f x -1 10 )2 (x,Qγx 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 2 = 10000 GeV2 Q xFitter_epHMDY LUXqed HKR16 NNPDF30qed Figure 6. Left plot: comparison between the photon x (x, (xFitter_epHMDY) with the corresponding results from NNPDF Few-percent PDF uncertainties on ɣ(x,Q) Agreement within errors with NNPDF3.0QED Even using one of the most sensitive processes to photon-initiated contributions, high-mass DY at 8 TeV, uncertainties in ɣ(x,Q) still at the 30% level xFitter Developer’s Team 17
  • 6. 6Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 The NNPDF3.1QED fits will impose the LUXqed formalism as an external theoretical constrain: Another important update in the NNPDF3.1QED fits is the use of NLO QED theory both in splitting functions and in the DIS coefficient functions, implemented in the APFEL code NNPDF3.1QED: strategy Bertone, Carrazza, Rojo 13 ``FiatLUX’’, Carrazza in preparation i.e. generate Nrep photon PDFs ɣ(k)(x,Q) from the Nrep NNPDF3.1 quarks and gluons
  • 7. 7Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Preliminary results = γ ( , ) = γ ( , ) + = δσ N( , ) = . PDF + LUXqed systematic uncertainties PDF-only uncertainties Good agreement between NNPDF3.1QED and the LUXqed photon PDF The LUXqed systematic uncertainties on ɣ(x,Q) are included as extra Gaussian fluctuations
  • 8. 8Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Preliminary results The iterative procedure converges very fast (within 2 iterations at most) At the level of quarks and gluons, the differences between the NNPDF3.1 QCD and QCD+QED fits are minimal
  • 9. 9Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Fits with photon-initiated contributions The previous results are based on fits where the PI contributions are added only to the DIS SFs In principle one needs to add them to all hadronic processes, but this is very cumbersome We have checked that NNPDF3.1QED results are stable once PI contributions added to the LHCb Z production data, which are directly sensitive to the photon PDF at large x The fits are mostly insensitive to the inclusion of PI effects in the LHCb cross-sections Even smaller effects on ɣ(x,Q) would then arise for the rest of the datasets in NNPDF3.1
  • 10. Parton Distributions with Small-x Resummation 10Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
  • 11. 11 Motivation I: beyond fixed-order DGLAP Perturbative fixed-order QCD calculations have been extremely successful in describing a wealth of data from proton-proton and electron-proton collisions However, there are theoretical indications that eventually we might need to go beyond DGLAP: At very small-x, logarithmically enhanced terms in 1/x become dominant and need to be resummed to all orders: small-x/high-energy/BFKL resummation formalism. The steep rise in the small-x gluon will eventually trigger non-linear recombinations: gluon saturation, BK/JIMWLK equations ….. BFKL resummation can be matched to the DGLAP collinear framework, and thus can in principle be included into a standard PDF analysis DGLAP Evolution in Q2 BFKL Evolution in x Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Altarelli, Ball, Forte 08 Ciafalini, Colferai, Salam, Stasto 07 Thorne and White 07 + others Within small-x resummation, the NkLO fixed-order DGLAP splitting functions are complemented with the NhLLx contributions from BKFL
  • 12. 12 Motivation II: tensions in inclusive HERA data? Several groups have reported that the fit quality to the legacy HERA inclusive data gets worse in the small-x and small-Q region Typically this trend is more marked at NNLO Several explanations have been advocated, from higher twists (i.e. saturation), issues with the heavy quark schemes, experimental systematics, … What happens if the PDF fit includes NLLx resummation? Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Figure 6: Comparison of the up quark (left plot) and total quark singlet (right plot) in a HERA-I only fit in a PDF fit based on the final HERA-I+II combination. Figure 7: The value of c2/Ndat for the legacy HERA combination in the variants of the NNPDF3.0 fits w different values of Q2 cut, for the NLO and NNLO fits. in the analysis. Such instability, if confirmed by other groups, could have different origins, like inadequacy of the theory used for the fit, for example if small-x (BFKL) resummation [26] is need to describe the precise inclusive HERA data at low-x and low-Q2. To verify this observation, have produced variants of the NNPDF3.0 global fit, including the HERA legacy combination, different values of Q2 min. The results of this study are summarized in Fig. 7, where we show for NLO and NNLO fits the value of c2/Ndat as a function of Q2 cut. From Fig. 7 we see that also in NNPDF3.0 we observe that the c2/Ndat of the HERA d decreases quite rapidly as Q2 cut is increased, more at NNLO than at NLO. This effect disappe for Q2 min 10 GeV2, for which the c2 profiles essentially flatten out. Interestingly, for Q2 min GeV2 we see that the quality of the NNLO fit is essentially the same or better than for the NLO These results are consistent with the possibility of large unresummed small-x logarithms, thou 6 NNPDF 15 MMHT 15HERAPDF 15
  • 13. 13 PDFs with BFKL resumation Ultimately, the need for (or lack of) BKFL resummation can only be assessed by performing a global PDF analysis with (N)NLO+NLLx matched theory Theoretical tools are now available: HELL for NLLx resummation, interfaced to the public APFEL code Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Bonvini, Marzani, Peraro 16 Bonvini, Marzani, Muselli 17 https://www.ge.infn.it/~bonvini/hell/
  • 14. 14 Ultimately, the need for (or lack of) BKFL resummation can only be assessed by performing a global PDF analysis with (N)NLO+NLLx matched theory Theoretical tools are now available: HELL for NLLx resummation, interfaced to the public APFEL code PDFs with BFKL resumation Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 At small-x, NNLO+NNLx coefficient functions for DIS structure functions soften the steep rise of the N3LO result Bonvini, Marzani, Peraro 16 Bonvini, Marzani, Muselli 17
  • 15. 15 Global PDFs with BFKL resummation Performed a variant of the NNPDF3.1 global fits using NLO+NLLx and NNLO+NLLx theory Small-x resummation of partonic cross-sections included only for DIS structure functions: remove all collider data with potential sensitivity to small-x effects Using NNLO+NLLx theory stabilises small-x gluon, leading to improved agreement with NLO result Improved perturbative convergence of the small-x gluons Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017
  • 16. 16 Fit quality at small-x and Q2 In order to assess the impact of small-x resummation for the description of the small-x and Q2 HERA data, compute the χ2 removing data points in the region where resummation effects are expected Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Small-x resummation effects could be important here Fixed-order theory should work fine here
  • 17. 17 NNLO+NLLx close to NLO small x and Q2 large x and Q2 Cut in small-x and Q HERA data Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Using NNLO+NLLx theory, the NNLO instability of the χ2 disappears Excellent fit quality to inclusive HERA data achieved in the entire (x,Q2) region accessible experimentally Fit quality at small-x and Q2
  • 18. 18Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Comparison with HERA data Using NNLO+NLLx theory, improved description of the small-x NC cross-sections, in particular of the change of slope Also improved description of FL, which moreover remains markedly positive down to the smallest values of x and Q probed
  • 19. Provide state-of-the-art predictions for the UHE neutrino nucleus cross-sections for neutrino telescopes 19 From the LHC to Neutrino Telescopes Using better theory Using better data UHE neutrino Constraints from LHCb D production Constraints from BFKL resummation Gauld, Rojo 16 NNPDF in preparation
  • 20. The strong coupling constant ⍺S(mZ) from the NNPDF3.1 analysis 20Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 0.112 0.113 0.114 0.115 0.116 0.117 0.118 0.119 0.120 S (MZ ) Heavy: 68% CL Light: 95% CL NNPDF3.1 NNPDF2.1 MMHT ABMP16 JR PDG2017 Figure 3.1: INCOMPLETE FIGURE 4 Methodological and theoretical uncertainties In this section we assess in some detail various methodological and theoretica a↵ect the ↵s(mZ) determination presented in the previous section. We also s of our results with respect to the choice of input dataset, by providing deter collider-only and proton-only datasets. 6
  • 21. The last determination of ⍺S(mZ) within the NNPDF framework was based on the NNPDF2.1 fit A large number of MC replicas (between 1000 and 100) generated for a range in ⍺S(mZ), and then a parabola was fitted to the χ2 results of the best fit for each ⍺S(mZ) value Theoretical uncertainties from MHOU estimated using the Cacciari-Houdeau method Result in good agreement with the PDG average and with the MSTW08 determination 21Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Recap: ⍺S(mZ) determination from NNPDF2.1 ⍺S(mZ) = 0.1173 ± 0.0007PDF ± 0.0009MHO NNPDF 11 NNPDF 10,11
  • 22. 22Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Motivation for an updated ⍺S(mZ) fit Several of the new datasets included in NNPDF3.1 provide a direct handle on ⍺S(mZ): inclusive jets, top quark pair differential distributions, the Z pT distribution, … Exact NNLO theory is used for the calculations of all collider cross-sections, also for inclusive jet production (removed the LHC 2.76 TeV jet data from the baseline fit since NNLO calculations not yet available) The wide NNPDF3.1 dataset allows the study in detail of the interplay between different classes of processes that constrain the strong coupling constant Improved methodology for the ⍺S(mZ) extraction, based on performing parabolic fits replica by replica, keeping the correlations within the generated pseudo-data: this way, ⍺S(mZ) is determined on exactly the same footing as the PDFs themselves, keeping all PDF-⍺S(mZ) correlations This bypasses the need of using the ∆χ2=1 criterion (or any other value for the tolerance), which might not be adequate in the presence of inconsistent experiments
  • 23. 23Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Fitting strategy Fully correlated pseudo-data replicas are generated, and then fits with a range of ⍺S(mZ) values are performed for each MC replica A parabolic fit determines the preferred value of ⍺S(mZ) for each replica (points that fail to satisfy quality criteria are removed, i.e., fits that have not converged) The mean and variance of the preferred ⍺S(mZ) over the replica sample determines the central value of ⍺S(mZ) and the associated 68% CL PDF uncertainty
  • 24. 24Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Fitting strategy Some processes (jets, top, FT NC DIS, …) lead to marked parabolas, illustrating sensitivity to ⍺S(mZ) Other processes, such as LHC Drell-Yan, are less sensitive, except for very small values of ⍺S(mZ)
  • 25. 25Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Preliminary results Using the correlated replica method, we find that the NNPDF3.1 global analysis leads to: ⍺S(mZ, NNLO) = 0.1190 ± 0.0005PDF ⍺S(mZ, NLO) = 0.1219 ± 0.0007PDF This is to be compared with the results obtained using the central fits and the ∆χ2=1 criterion: ⍺S(mZ, NNLO) = 0.1183 ± 0.0004PDF ⍺S(mZ, NLO) = 0.1214 ± 0.0004PDF The best-fit ⍺S(mZ) value is driven by the jet, top, and FT NC DIS data. The higher value of ⍺S(mZ) as compared to the NNPDF2.1 fit is partly due to the LHC DY and Z pT data.
  • 26. 26Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 Correlated replica method vs “Δχ2=1” method In general there is reasonable consistency between the two methods, highlighting the robustness of the results The “∆χ2=1” method can underestimate the real PDF uncertainties, by a small amount in some cases (total dataset, jets, top) and by a large amount for those processes with little sensitivity to ⍺S(mZ), such as HERA and FT Drell-Yan Correlated Replica Method “∆χ2=1” method
  • 27. 27Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 0.112 0.113 0.114 0.115 0.116 0.117 0.118 0.119 0.120 S (MZ ) Heavy: 68% CL Light: 95% CL NNPDF3.1 NNPDF2.1 MMHT ABMP16 JR PDG2017 Figure 3.1: INCOMPLETE FIGURE Preliminary results Good agreement with the PDG17 average, and consistent with the MMHT2014 determination ⍺S(mZ, NNLO, global) = 0.1190 ± 0.0005PDF ⍺S(mZ, NNLO, collider-only) = 0.1229 ± 0.0026PDF Also repeated the analysis based on a collider-only dataset: not competitive with the global fit, presumably because the constraints from the fixed-target DIS data still important Only PDF uncertainties shown
  • 28. 28 Summary and outlook Juan Rojo PDF4LHC WG meeting, CERN, 06/08/2017 NNPDF3.1QED and the photon PDF using the LUXqed formalism Preliminary results presented, final NNPDF3.1QED NLO and NNLO close to completion. Good agreement with LUXqed, no changes for quarks and gluons Release of the public library FiatLUX that implements the LUXqed formalism Study of phenomenological implications at the LHC for PI processes NNPDF3.1 fits with small-x (BFKL) resummation Using NNLO+NLLx theory improves the perturbative expansion at small-x, cures the chi2 instability, and the allows a better description of the inclusive HERA data Implications for UHE astrophysics, as well as for future colliders (LHeC, FCC-hh/eh) A determination of ⍺S(mZ) based on the NNPDF3.1 analysis New approach developed, based on correlated MC replicas The new fit result, ⍺S(mZ, NNLO) = 0.1190 ± 0.0005PDF, is consistent with the PDG average but higher than other PDF-based determinations, mostly due to the pull of the recent high-precision LHC data. Collider-only determinations still not competitive Ongoing work towards an estimate of the theoretical uncertainties from MHO