SlideShare a Scribd company logo
Juan Rojo!
VU Amsterdam & Theory group, Nikhef!
!
on behalf of the NNPDF Collaboration!
!
!
PDF4LHC Working Group meeting!
07/03/2017
NNPDF3.1
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
1
2
Why NNPDF3.1?
An update of the NNPDF global analysis was motivated by:!
The availability of a wealth of high-precision PDF-sensitive measurements from the
Tevatron, ATLAS, CMS and LHCb, including processes such as the Z pT and differential
distributions in top-quark production that have never been used before in a PDF fit!
The striking recent progress in NNLO QCD calculations, which allows to include the
majority of PDF-sensitive collider measurements into a fully consistent NNLO global
analysis!
The recent realisation that fitting the charm PDF has several advantages in the global QCD
fit (beyond comparison with non-perturbative models), in particular stabilise the dependence
with mcharm and improve the data/theory agreement for some of the most precise collider
observables.
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
3
NNPDF3.1: fit settings
!
PDF evolution and DIS structure functions up to
NNLO are computed with APFEL in the FONLL GM-
VFN scheme!
Hadronic data included using APPLgrid/FastNLO
interfaced to MCFM/aMC@NLO/NLOjet++,
supplemented by bin-by-bin NNLO/NLO K-factors
obtained separately for each specific process!
The APFELgrid tool is used to combine a priori
PDF evolution with applgrid interpolated coefficient
functions, achieving an speed-up by up to three
orders of magnitude for the evaluation of hadronic
cross-sections during the PDF fit
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
Bertone, Carrazza, Hartland CPC 16
4
Fitted vs Perturbative charm!
The change of scheme between a theory with 3 active quarks and another with 4 active quarks is
determined by the matching conditions:
!
Most global fits (including NNPDF3.0) assume that c(3)(x)=0, in other words, the scale-independent
(intrinsic) charm content of the proton vanishes!
!
Releasing this assumption leads to the modified matching conditions
Scale-independent !
(intrinsic) charm
Scale-dependent!
charm PDF: to be
determined from
data at Q0>mc
Perturbative contribution
from charm-anticharm
radiation off gluons
!
Whether or not c(3)(x)=0 is a good assumption can only be determined from data
NNPDF3.1 fits obtained both for a fitted
and for a perturbative charm PDF
Ball, Bonvini, Rottoli, JHEP 17!
Ball et al, PLB 17
5
Fitted charm recap!
Based on the NNPDF3.0 settings, we produced NLO PDF sets with fitted charm!
Small differences on light quarks and gluons!
For the charm PDF at high scales, differences only for large-x, x < 0.08
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
NNPDF, EPJC 2016
!
Fitting the charm PDF leads to an improved
data/theory agreement, a reduced dependence on
mcharm and allows to compare with non-
perturbative models of the proton structure!
In NNPDF3.1, the new collider data allow a
precise determination of the charm PDF, avoiding
the need to rely on the EMC charm data
NNPDF, EPJC 2016
6
Outline
!
NNPDF3.1: !
Fit quality!
Fitted charm vs perturbative charm!
Comparison with NNPDF3.0 and other recent PDF sets!
A bit of phenomenology!
!
Impact of individual datasets:!
Jets at NNLO!
The Z pT!
top quark distributions!
Gauge boson production!
The strange and charm content of the proton!
!
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
Disclaimer: I will certainly not have enough time for all these results, please see backup for more. !
All these results will be discussing in great detail in the upcoming paper!
7 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
!
NNPDF3.1
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
Fitted charm
Perturbative charm
2
GeV4
=102
NNPDF3.1 NNLO, Q
PRELIMINARY
PRELIMINARY
8
New datasets in NNPDF3.1
Combined HERA inclusive data Run I+II quark singlet and gluon
D0 legacy W asymmetries Run II quark flavor separation
ATLAS inclusive W, Z rap 7 TeV 2011 strangeness
ATLAS inclusive jets 7 TeV 2011 large-x gluon
ATLAS low-mass Drell-Yan 7 TeV 2010+2011 small-x quarks
ATLAS Z pT 7,8 TeV 2011+2012 medium-x gluon and quarks
ATLAS and CMS tt differential 8 TeV 2012 large-x gluon
CMS Z (pT,y) 2D xsecs 8 TeV 2012 medium-x gluon and quarks
CMS Drell-Yan low+high mass 8 TeV 2012 small-x and large-x quarks
CMS W asymmetry 8 TeV 2012 quark flavor separation
CMS 2.76 TeV jets 2012 medium and large-x gluon
LHCb W,Z rapidity dists 7 TeV 2011 large-x quarks
LHCb W,Z rapidity dists 8 TeV 2012 large-x quarks
Measurement Data taking Motivation
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
9
Fit quality: 𝛘2
NNLO FittedCharm NNLO PertCharm NLO FittedCharm NLO PertCharm
HERA 1.16 1.20 1.16 1.16
ATLAS 1.13 1.19 1.45 1.50
CMS 1.04 1.06 1.20 1.20
LHCb 1.46 1.46 1.94 1.93
!
For collider data, NNLO theory leads to a markedly better fit quality that than NLO (since the new
data included has small experimental uncertainties, and NNLO corrections mandatory)!
The global PDF analysis where the charm PDF is fitted leads to a slightly superior fit quality than
assuming a perturbatively generated charm PDF!
In general good description of all the new collider measurements included in NNPDF3.1
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
10
Impact of new data
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/u(x,Q
2
u(x,Q
0.9
0.95
1
1.05
1.1
1.15
3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/u(x,Q
2
u(x,Q
0
0.02
0.04
0.06
0.08
0.1
0.12
3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0
0.02
0.04
0.06
0.08
0.1
0.12
3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
PRELIMINARY
PRELIMINARY
PRELIMINARY
PRELIMINARY
RelativePDFerror
RelativePDFerror
11
Impact of new data
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/d(x,Q
2
d(x,Q
0
0.02
0.04
0.06
0.08
0.1
0.12
3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
(x,Q
+
)/s
2
(x,Q+
s
0
0.02
0.04
0.06
0.08
0.1
0.12
3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
)/d(x,Q2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
(x,Q
+
)/s
2
(x,Q+
s
0.8
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2 3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
PRELIMINARY
PRELIMINARY
PRELIMINARY
PRELIMINARY
RelativePDFerror
RelativePDFerror
12
Impact of new data
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/d(x,Q
2
d(x,Q
0
0.02
0.04
0.06
0.08
0.1
0.12
3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
(x,Q
+
)/s
2
(x,Q+
s
0
0.02
0.04
0.06
0.08
0.1
0.12
3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
)/d(x,Q2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
(x,Q
+
)/s
2
(x,Q+
s
0.8
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2 3.0 dataset
global dataset
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
Significant reduction of PDF uncertainties due to the new data, in particular for the
gluon and the down quark (and the antiquarks as well)!
Shifts induced by the new data typically consistent at the one-sigma level with the 3.0
datasets results, though in some cases bigger effects are seen (i.e. the large-x down quark) !
The new data has decisive impact on PDFs!
PRELIMINARY
PRELIMINARY
13
Comparison with NNPDF3.0
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.0
NNPDF3.1
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
)/u(x,Q2
u(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.0
NNPDF3.1
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
)/d(x,Q2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.0
NNPDF3.1
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
(x,Q
+
)/s2
(x,Q+
s
0.8
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2 NNPDF3.0
NNPDF3.1
2
GeV4
=102
NNLO, Q
PRELIMINARY
PRELIMINARY
PRELIMINARY
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
14
Comparison with NNPDF3.0
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.0
NNPDF3.1
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
)/u(x,Q2
u(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.0
NNPDF3.1
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
)/d(x,Q2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.0
NNPDF3.1
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
(x,Q
+
)/s2
(x,Q+
s
0.8
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2 NNPDF3.0
NNPDF3.1
2
GeV4
=102
NNLO, Q
Agreement between 3.1 and 3.0 at the one-sigma level, with 3.1 exhibiting in most cases
reduced PDF uncertainties!
In general the quark PDFs tend to be harder, specially in the case of strangeness due to
the impact of the ATLAS W,Z 2011 data!
Increase in the gluon for x=0.01 by 0.5-sigma, suppression at large-x from top pair data
PRELIMINARY
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
15
new data vs new methodology
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.0
NNPDF3.1 (NNPDF3.0 dataset)
NNPDF3.1 global
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10)[ref]2
)/d(x,Q2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.0
NNPDF3.1 (NNPDF3.0 dataset)
NNPDF3.1 global
2
GeV4
=102
NNLO, Q
Impact of new data
new methodology (mostly fitting charm)
PRELIMINARY
PRELIMINARY
16
Higgs production cross-sections
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
PRELIMINARY
PRELIMINARY
PRELIMINARY
PRELIMINARY
17
Higgs production cross-sections
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
For gluon-initiated processes, good agreement between 3.1 and 3.0 with reduced PDF
uncertainties in the latter case!
For quark-initiated processes, the new collider data pulls towards higher cross-sections!
The new ABMP16 set is in reasonable agreement with the other sets provided the PDG
value of the strong coupling is used
PRELIMINARY
PRELIMINARY
18
Large-x PDF positivity
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
Ideally, allow PDFs to become negative but ensure that a large number of ``mock’’ observables are positive-
definite (i.e. W’ cross-section at 5 TeV)!
In NNPDF3.0 we already include DIS SFs and DY u*ubar, d*dbar, s*sbar xsecs, and we will include more in
our next release (non-trivial improvement of neural network training algorithm required)!
Adding the many new LHC observables already improves a lot the large-x positivity issues in NNPDF3.1!
See Michelangelo’s talk!
PRELIMINARY
19 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
!
Jet production !
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
)/g(x,Q2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
Global
No jet data
2
GeV4
=102
NNLO, Q
PRELIMINARY
20
Jets at NNLO
J. Currie, Krakow 01/17
!
If the jet pT is used as
central scale, NNLO/NLO
K-factors only a few
percent!
NNLO/NLO shift
within NLO scale
uncertainties!
This trend holds for all
rapidity regions
!
NNLO results available only for then ATLAS 7 TeV 2011 measurement!
In NNPDF3.1, use NLO matrix elements for jets, computed with pT as central scale, and add the
NLO scale uncertainties as additional theory uncertainty
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
21
Inclusive jets in NNPDF3.1!
In NNPDF3.1, we include the central rapidity bin of the ATLAS 7 TeV 2011 inclusive jets, finding
good fit quality: 𝛘2 (NNLO)=1.06 and 𝛘2 (NLO)=1.12!
For CMS we include the inclusive jets at 2.76 TeV, also good data/theory agreement!
Good description of all other jet datasets, already included in NNPDF3.0!
Jet data still quite constraining for the large-x gluon, though impact less dramatic as in previous
NNPDF releases due to the presence of other gluon-sensitive measurements in the fit (more later)
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
Global
No jet data
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
)/d(x,Q2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
Global
No jet data
2
GeV4
=102
NNLO, Q
PRELIMINARY
PRELIMINARY
Impact of jet data in NNPDF3.1
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
22 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
!
The Z transverse momentum
23
Impact of Z pt data
!
For the first time in a global fit, the transverse momentum of the Z boson has been included!
NNLO calculations for K-factors from Boughezal and Petriello, very CPU time intensive!!
All the Z pT measurements from ATLAS and CMS at 8 TeV included
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
Dedicated study: Boughezal, Guffanti, Petriello, Ubiali, in preparation
24
Impact of Z pt data
Juan Rojo ATLAS PDF Fit Forum, 10/02/2017
ATLAS 8 TeV (M,pT) CMS 8 TeV (y,pT)
!
Good fit quality to 8 TeV ATLAS and CMS, though very sensitive to stat fluctuations!
Included 1% of residual stat uncertainty from K-factor calculation, else 𝛘2 (NNLO) worse by factor 4.
Tiny changes in shape of TH prediction worsen significantly fit quality since exp uncorr errors v small !
Despite fitting 8 TeV data, worse description of 7 TeV data (tension between 7 and 8 TeV?)
ATLAS 8 TeV (y,pT) ATLAS 8 TeV (M,pT) CMS 8 TeV (y,pT)
𝛘 0.9 0.9 1.3
𝛘 2.4 1.2 3.6
PRELIMINARY
NNPDF3.1
NNPDF3.1
25
Impact of Z pT data
!
Impact on many PDFs: harder gluon at medium-x (relevant for ggF Higgs) and softer quarks in
the same region.!
The region of intermediate-x is the region where Z pT data is expected to have most sensitivity!
New important addition to the toolbox of global PDF fits!
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.1 no Z pT
NNPDF3.1
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/d(x,Q
2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.1 no Z pT
NNPDF3.1
2
GeV4
=102
NNLO, Q
PRELIMINARY
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
NB the ATLAS Z pt 7 TeV data not included in these fits
26 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
!
The strange and charm!
content of the proton !
27
The strangeness content of the proton
!
xFitter analysis of the ATLAS W,Z 2011 inclusive data prefers a symmetric strange sea with small
uncertainty, at odds with all other PDF fits!
Actually the ATLAS data suggest that there are more strange than up and down sea quarks in the
proton, which is very difficult to understand from non-perturbative QCD arguments !
Can one accommodate the ATLAS W,Z 2011 data in the global fit? What happens to strangeness?
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
28
The strangeness content of the proton
!
Confirmed the strange symmetric fit preferred by the ATLAS W,Z 2011 measurements, though we
find PDF uncertainties larger by a factor 2!
The global fit accommodates both the neutrino data and the ATLAS W,Z 2011 ( 𝛘2
nutev=1.1,
𝛘2
AWZ11=1.8 ) finding a compromise value for RS=0.61+-0.14!
Mild tension in the global fit (1.5-sigma level at most) when simultaneously included neutrino data,
CMS W+charm and ATLAS W,Z 2010+2011
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
29
Charm content of proton revisited!
The new LHC experiments provide additional constraints on non-perturbative charm !
Including the EMC charm data, we find evidence for non-perturbative charm at the 1.5 sigma level.
Even without EMC data, non-perturbative charm bounded < 0.5% at the 68% CL
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
!
Non-perturbative charm is certainly small, but
data exhibit preference for non-zero value
NNPDF3.0 dataset (no EMC): 1.6 +- 1.2%!
NNPDF3.1 dataset (no EMC): 0.3 +- 0.4%
30 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
!
Top-quark pair!
differential distributions!
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
)/g(x,Q2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
Global
no Z pt data
No top data
No jet data
2
GeV4
=102
NNLO, Q
31
!
Top-quark pair production driven by the gluon-
gluon luminosity!
NNLO calculations for stable top quarks
available (with decays in the pipeline)!
Recent precision data from ATLAS and CMS at 8
TeV with full breakdown of statistical and systematic
uncertainties!
For the first time, included ATLAS+CMS 8 TeV
differential top measurements into the global PDF fit
The large-x gluon from top-quark production
Czakon, Hartland, Mitov, Nocera, Rojo 16
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
32
The large-x gluon from top-quark production
!
From CMS we include the
normalised top-quark pair
rapidity at 8 TeV!
In addition we include total
cross-section data at 7,8 and 13 TeV!
Good agreement between NNLO
theory and the LHC data
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
!
From CMS we include the normalised
top-quark pair rapidity at 8 TeV!
From ATLAS we include the
normalised top pair rapidity at 8 TeV
PRELIMINARY
33
!
PDF uncertainties reduced by more than a
factor two for mtt ≳ 500 GeV!
Our choice of fitted distributions, yt and ytt,
reduces the risk of BSM contamination
(kinematical suppression of resonances), which
might show up instead in mtt and pt
T, where PDF
uncertainties are now much smaller!
Self-consistent program to use top data to
provide better theory predictions
Improved sensitivity to BSM dynamics!
with top-quark final states!
The large-x gluon from top-quark production
mtt data not used in fit
Czakon, Hartland, Mitov, Nocera, Rojo 16
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
34
Impact on the gluon!
In NNPDF3.1 we have three groups of processes that provide direct information on the gluon:
inclusive jets, top pair differential, and the Z transverse momentum!
Are the constraints from each of these groups consistent among them? Yes!
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
Global
no Z pt data
No top data
No jet data
2
GeV4
=102
NNLO, Q
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
35 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
!
Inclusive weak boson production!
36
CMS Drell-Yan 8 TeV
!
Drell-Yan production at 8 TeV updates a previous 7 TeV measurement (already in NNPDF3.0) and is
expected to provide useful information on quark flavour separation!
Intensive NNLO calculation to achieve good enough statistical accuracy. !
Kinematical cuts exclude the first rapidity bin, which vanishes at LO due to lepton acceptance cuts
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
37
CMS Drell-Yan 8 TeV
!
Improved description as compared to NNPDF3.0!
Despite good visual data/theory agreement, the fit description is poor: 𝛘2/Ndat = 3.3!
Difficult to trace the origin of the problem since only full covariance matrix (no breakdown
of systematics) is provided
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
38
CMS Drell-Yan 8 TeV
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/d(x,Q
2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
Global
no CMSDY2D12
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
(x,Qd)/2
(x,Qd
0.9
0.95
1
1.05
1.1
1.15
Global
no CMSDY2D12
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
!
This measurement indeed affects large-x quarks and antiquarks …!
… but only shift in central values, with PDF errors stable or even increasing in some cases!
Tension with other experiments in global fit? Internal tensions?
PRELIMINARY
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
39
Forward W,Z production at LHCb
!
NNPDF3.1 includes the complete 7 TeV and 8 TeV W,Z measurements in the muon channel, as
well as most of the electron channel measurements!
Crucial to account for the cross-correlations between the W and Z data!
Expect improved quark-flavor separation for large-x quarks, thanks to LHCb forward kinematics!
Complementary information to that from W, Z production from ATLAS and CMS
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
40
Forward W,Z production at LHCb
NNPDF3.1
!
Improved agreement as compared to NNPDF3.0, specially in the forward region!
Significant reduction of PDF uncertainties wrt to NNPDF3.0, by almost factor 2!
NNLO QCD does not describe the most central bin of the 8 TeV W data: excluded from fit
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
41
Forward W,Z production at LHCb
!
The reduction of PDF uncertainties from the LHCb
data is more marked for the large-x quarks!
Note shift on central values, in addition to
reducing PDF errors!
For the down quark, PDF errors decrease by almost
a factor 2 for x=0.2
Juan Rojo LHCb EW meeting, 23/02/2017
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/u(x,Q
2
u(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.1, no LHCb data
NNPDF3.1, with LHCb data
2
GeV4
=102
NNLO, Q
x
2−
10 1−
10
)[ref]2
)/d(x,Q2
d(x,Q
0
0.02
0.04
0.06
0.08
0.1
0.12
NNPDF3.1, no LHCb data
NNPDF3.1, with LHCb data
NNLO, Q = 100 GeV
PRELIMINARY
PRELIMINARY
PRELIMINARY
42
NNPDF3.1: summary and outlook
!
Several new datasets included, from the HERA and Tevatron legacy data to precision
LHC electroweak production measurements, the 8 TeV Z pT data, and top quark
production differential distributions!
Good stability with respect to NNPDF3.0, with main differences being a reduction of
the large-x PDF uncertainties and an improved quark flavour separation!
Improved stability of the gluon from the combination of top, Z pT, and jet data!
Increase in strangeness from inclusion of the ATLAS W,Z 2011 data!
Improved fit quality once the charm PDF is fitted, rather than perturbatively generated.
Non-negligible differences at the PDF level. NNPDF3.1 fits for the two options will be
released.!
NNPDF3.1 will be available in LHAPDF very soon!
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
43
NNPDF3.1: summary and outlook
!
Several new datasets included, from the HERA and Tevatron legacy data to precision
LHC electroweak production measurements, the 8 TeV Z pT data, and top quark
production differential distributions!
Good stability with respect to NNPDF3.0, with main differences being a reduction of
the large-x PDF uncertainties and an improved quark flavour separation!
Improved stability of the gluon from the combination of top, Z pT, and jet data!
Increase in strangeness from inclusion of the ATLAS W,Z 2011 data!
Improved fit quality once the charm PDF is fitted, rather than perturbatively generated.
Non-negligible differences at the PDF level. NNPDF3.1 fits for the two options will be
released.!
NNPDF3.1 will be available in LHAPDF very soon!
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
Thanks for your attention!
44 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
!
!
Extra Material !
!
45
Fitting data with sub-percent errors!
In several of the new experiments in NNPDF3.1, uncorrelated uncertainties are very small, at the few
permille level. This implies that is required to get the shape of the theory prediction correct to the same
accuracy, which can be very challenging for CPU-intensive NNLO calculations!
We tackle this by including the MC stat integration error from the theory prediction as an additional
uncorrelated systematic error in the 𝛘2!
This also implies that even very small variations of the correlation model (which ultimately determines
what is correlated and what uncorrelated) can lead to very large variations of the 𝛘2 for same input theory!
To avoid this, measurements should provide an estimate of the uncertainty associated with correlations
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
46
Fitted charm vs perturbative charm
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
Fitted charm
Perturbative charm
2
GeV4
=102
NNPDF3.1 NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/d(x,Q
2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
Fitted charm
Perturbative charm
2
GeV4
=102
NNPDF3.1 NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
(x,Q
+
)/s
2
(x,Q+
s
0.8
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2 Fitted charm
Perturbative charm
2
GeV4
=102
NNPDF3.1 NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/u(x,Q
2
u(x,Q
0.9
0.95
1
1.05
1.1
1.15
Fitted charm
Perturbative charm
2
GeV4
=102
NNPDF3.1 NNLO, Q
PRELIMINARY
PRELIMINARY
PRELIMINARY
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
47
Fitted charm vs perturbative charm
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
Fitted charm
Perturbative charm
2
GeV4
=102
NNPDF3.1 NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/d(x,Q
2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
Fitted charm
Perturbative charm
2
GeV4
=102
NNPDF3.1 NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
(x,Q
+
)/s
2
(x,Q+
s
0.8
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2 Fitted charm
Perturbative charm
2
GeV4
=102
NNPDF3.1 NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/u(x,Q
2
u(x,Q
0.9
0.95
1
1.05
1.1
1.15
Fitted charm
Perturbative charm
2
GeV4
=102
NNPDF3.1 NNLO, Q
Differences between the 3.1NNLO fits with perturbative or fitted charm are moderate, at
the one-sigma level at most, but not negligible for precision physics!
In general the fit quality using fitted charm is better than with perturbative charm!
All the released NNPDF3.1 sets will include variants with both options concerning the
treatment of the charm PDF
PRELIMINARY
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
48
Comparison with MMHT and CT
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/d(x,Q
2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.1 fitted charm
CT14
MMHT14
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.1 fitted charm
CT14
MMHT14
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
(x,Q
+
)/s
2
(x,Q+
s
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.1 fitted charm
CT14
MMHT14
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/u(x,Q
2
u(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.1 fitted charm
CT14
MMHT14
2
GeV4
=102
NNLO, Q
49
Comparison with ABMP16
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2
NNPDF3.0 global
ABMP16 as=0.118
ABMP16 as default
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/d(x,Q
2
d(x,Q
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2
NNPDF3.0 global
ABMP16 as=0.118
ABMP16 as default
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/u(x,Q
2
u(x,Q
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2
NNPDF3.0 global
ABMP16 as=0.118
ABMP16 as default
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]2
(x,Q
+
)/s2
(x,Q+
s
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2
NNPDF3.0 global
ABMP16 as=0.118
ABMP16 as default
2
GeV4
=102
NNLO, Q
50 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
Impact of ATLAS 7 TeV Z pT data
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.1 no Z pT
NNPDF3.1
2
GeV4
=102
NNLO, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/d(x,Q
2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
NNPDF3.1 no Z pT
NNPDF3.1
2
GeV4
=102
NNLO, Q
with 8 TeV Z pt data with 8 TeV Z pt data
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/g(x,Q
2
g(x,Q
0.9
0.95
1
1.05
1.1
1.15
no 7 TeV Z pT data
with 7 TeV Z pT data
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
x
4−
10
3−
10 2−
10 1−
10
)[ref]
2
)/d(x,Q
2
d(x,Q
0.9
0.95
1
1.05
1.1
1.15
no 7 TeV Z pT data
with 7 TeV Z pT data
2
GeV4
=102
NNPDF3.1 NNLO FC, Q
(only 8 TeV Z pt data) (only 8 TeV Z pt data)
51
Forward W,Z production at LHCb
NNPDF3.1
!
For Z production, also improved shape agreement in NNPDF3.1!
Overall fit quality for LHCb experiments: 𝛘2/N = 1.4 (1.9) at NNLO (NLO). Note NNLO crucial!
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
52
Charm content of proton revisited
x
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
)
2
(x,Q+
xc
0.01−
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
NNPDF3.1, no LHCb data
NNPDF3.1, with LHCb data
NNLO, Q = 2 GeV
!
The new collider measurements provide important constraints on the large-x charm PDF, for
instance, the 7 and 8 TeV W,Z measurements from LHCb !
Models where non-perturbative charm can carry much more than 1% of the total proton’s
momentum are strongly disfavoured by the LHCb data
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
53
Impact on the gluon!
The best precision in the large-x gluon is achieved by combining jets with top-pair and Z pt data!
In terms of constraining power at large-x, we find the hierarchy: jets > ttbar differential > Z pt
x
0.1 0.2 0.3 0.4 0.5
)[ref]
2
)/g(x,Q
2
g(x,Q
0
0.05
0.1
0.15
0.2
0.25
Global
no Z pt data
No top data
No jet data
2
GeV4
=102
NNLO, Q
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
RelativePDFerror
54
The strangeness content of the proton
x
4−
10 3−
10 2−
10 1−
10
)2
(x,QSR
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6 NNPDF3.0
NNPDF3.1 global
NNPDF3.1 collider
NNLO, Q=1.65 GeV
!
Collider-only and global fits in agreement within PDF uncertainties!
In NNPDF3.1 strangeness is less suppressed than in NNPDF3.0 (mostly due to the new data) but still
in agreement within PDF uncertainties!
The collider-only fit is becoming competitive with the global fit!
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
55
CMS 8 TeV W rapidity
!
Useful for quark flavour separation !
xFitter analysis has demonstrated usefulness for PDF constraints !
This measurement was already in good agreement with NNPDF3.0
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
56
CMS 8 TeV W rapidity
!
Good agreement data / theory, similar to that in NNPDF3.0, with 𝛘2/Ndat = 1.0 at NNLO!
Note reduction of PDF uncertainties in the cross-section predictions from all the new electroweak
production data included
PRELIMINARY
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
57 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
Good agreement with
experimental data, as was
the case in NNPDF3.0
Looking forward to the 13 TeV data!
Inclusive jets in NNPDF3.1
PRELIMINARY
PRELIMINARY
58
Jets at NNLO
J. Currie, Krakow 01/17
!
If the jet pT is used as
central scale, NNLO/NLO
K-factors only a few
percent!
NNLO/NLO shift
within NLO scale
uncertainties!
This trend holds for all
rapidity regions
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
59
Higgs production !
in gluon fusion
Gluinos, KK gravitons,!
boosted top-quarks….
charm,bottom!
soft QCD, MC tuning,!
High-energy astroparticles
One glue to bind them all
Exploit PDF-sensitive LHC measurements to constrain the gluon at small-x!
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
60
The prompt flux at neutrino telescopes
Observation of Ultra-High Energy (UHE) neutrino events heralds start of Neutrino Astronomy!
New window to the Universe, but interpretation of UHE data requires control over backgrounds
How well do we understand !
this prompt flux?!
Do we really control charm production
in such extreme kinematics?
IceCube/KM3NET/…
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
61
The low-x gluon from charm production
c
c
D+
ν+X
Lab frame Elab = (2mpECR)1/2
ECR = 100 PeV Elab ≈ 14 TeV
Overlap kinematics between charm production
in UHE cosmic rays and at the LHC
Sensitivity to!
small-x gluon
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
62
Strategy: use LHC data to provide state-of-the-art predictions for backgrounds at neutrino telescopes
x
6−
10 5−
10 4−
10 3−
10 2−
10 1−
10
)
2
=4GeV
2
g(x,Q
0
2
4
6
8
10
12
14
16
=0.118sαNNPDF3.0 NLO
data
+-
,D
0
no LHCb D
data (wgt)
+-
,D
0
with LHCb D
data (unw)
+-
,D
0
with LHCb D
=0.118sαNNPDF3.0 NLO
x
6−
10 5−
10 4−
10 3−
10 2−
10 1−
10
PercentagePDFuncertainty
0
20
40
60
80
100
120
140
160
180
200
=0.118sα), NNPDF3.0 NLO,2
g(x,Q
data
+-
,D
0
no LHCb D
data
+-
,D
0
with LHCb D
=0.118sα), NNPDF3.0 NLO,2
g(x,Q
Figure 11: Left plot: The NNPDF3.0 small-x gluon, evaluated at Q = 2 GeV, comparing the baseline
global fit result with with the new gluon obtained after the inclusion in the fit of the LHCb charm
production data. In the latter case, we show both the reweighted results (rwg) and those after the
unweighting procedure. Right plot: comparison of the percentage PDF uncertainties for the NNPDF3.0
We predict that detection of the prompt neutrino flux should be within reach
Include 7 TeV LHCb forward charm production data in the global fit!
Validate perturbative QCD calculations on collider data, and constrain the small-x gluon!
Compute optimised predictions for prompt neutrino fluxes at high energies!
!
The low-x gluon from charm production
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
63
LHCb charm production from 5 to 13 TeV!
Updated analysis based on normalized cross-sections at 5,
7 and 13 TeV and cross-section CoM energy ratios (avoiding
double counting)!
Good description of all datasets, compatible pull on the
small-x gluon except the R13/7 ratio!
The N5+N7+N13 combination leads to a reduction of the
small-x gluon PDF errors by an order of magnitude!!
The most precise D0 data at 5 and 13 TeV cannot be
described by NLO QCD and are excluded from the fit:
NNLO calculation needed?
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
64
UHE neutrino-nucleus cross-sections
Precision studies of extreme QCD with IceCube/KM3NET: the ultimate DIS experiments!
!
High-precision QCD predictions of neutrino-nucleus cross-section up to 106 PeV (low-x sea
quarks driven by gluon through DGLAP evolution)!
Few-percent QCD uncertainties in the UHE cross-sections up to the highest energies: unique
opportunity for BSM searches and precision astrophysical studies
ν
W/Z
q(x ⋍10-7,Q⋍MW)
Juan Rojo PDF4LHC WG Meeting, 07/03/2017
65
The strangeness content of the proton
!
Significant improvement in description of the experimental data in NNPDF3.1 as compared to 3.0
PRELIMINARY
NNPDF3.1
Juan Rojo PDF4LHC WG Meeting, 07/03/2017

More Related Content

What's hot

Parton Distributions and Standard Model Physics at the LHC
Parton Distributions and Standard Model Physics at the LHCParton Distributions and Standard Model Physics at the LHC
Parton Distributions and Standard Model Physics at the LHC
juanrojochacon
 
NNLO PDF fits with top-quark pair differential distributions
NNLO PDF fits with top-quark pair differential distributionsNNLO PDF fits with top-quark pair differential distributions
NNLO PDF fits with top-quark pair differential distributions
Juan Rojo
 
Guide for visualizing JMA's GSM outputs using GrADS
Guide for visualizing JMA's GSM outputs using GrADSGuide for visualizing JMA's GSM outputs using GrADS
Guide for visualizing JMA's GSM outputs using GrADS
JMA_447
 
Recent progress in proton and nuclear PDFs at small-x
Recent progress in proton and nuclear PDFs at small-xRecent progress in proton and nuclear PDFs at small-x
Recent progress in proton and nuclear PDFs at small-x
juanrojochacon
 
PDFs at the LHC: Lessons from Run I and preparation for Run II
PDFs at the LHC: Lessons from Run I and preparation for Run IIPDFs at the LHC: Lessons from Run I and preparation for Run II
PDFs at the LHC: Lessons from Run I and preparation for Run II
juanrojochacon
 
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
csandit
 
New dynamics in parton distributions at a 100 TeV hadron collider
New dynamics in parton distributions at a 100 TeV hadron colliderNew dynamics in parton distributions at a 100 TeV hadron collider
New dynamics in parton distributions at a 100 TeV hadron collider
juanrojochacon
 
Pilot Optimization and Channel Estimation for Multiuser Massive MIMO Systems
Pilot Optimization and Channel Estimation for Multiuser Massive MIMO SystemsPilot Optimization and Channel Estimation for Multiuser Massive MIMO Systems
Pilot Optimization and Channel Estimation for Multiuser Massive MIMO Systems
T. E. BOGALE
 
Pycon9 dibernado
Pycon9 dibernadoPycon9 dibernado
Pycon9 dibernado
GIUSEPPE DI BERNARDO
 
Design Pattern of HBase Configuration
Design Pattern of HBase ConfigurationDesign Pattern of HBase Configuration
Design Pattern of HBase Configuration
Dan Han
 
Search for Diboson Resonances in CMS
Search for Diboson Resonances in CMSSearch for Diboson Resonances in CMS
Search for Diboson Resonances in CMS
Jose Cupertino Ruiz Vargas
 
C07.heaps
C07.heapsC07.heaps
Parton Distributions: future needs, and the role of the High-Luminosity LHC
Parton Distributions: future needs, and the role of the High-Luminosity LHCParton Distributions: future needs, and the role of the High-Luminosity LHC
Parton Distributions: future needs, and the role of the High-Luminosity LHC
juanrojochacon
 
Internship Report Presentation
Internship Report Presentation Internship Report Presentation
Internship Report Presentation
Devanil Choudhury
 
report_present
report_presentreport_present
report_present
Devanil Choudhury
 

What's hot (15)

Parton Distributions and Standard Model Physics at the LHC
Parton Distributions and Standard Model Physics at the LHCParton Distributions and Standard Model Physics at the LHC
Parton Distributions and Standard Model Physics at the LHC
 
NNLO PDF fits with top-quark pair differential distributions
NNLO PDF fits with top-quark pair differential distributionsNNLO PDF fits with top-quark pair differential distributions
NNLO PDF fits with top-quark pair differential distributions
 
Guide for visualizing JMA's GSM outputs using GrADS
Guide for visualizing JMA's GSM outputs using GrADSGuide for visualizing JMA's GSM outputs using GrADS
Guide for visualizing JMA's GSM outputs using GrADS
 
Recent progress in proton and nuclear PDFs at small-x
Recent progress in proton and nuclear PDFs at small-xRecent progress in proton and nuclear PDFs at small-x
Recent progress in proton and nuclear PDFs at small-x
 
PDFs at the LHC: Lessons from Run I and preparation for Run II
PDFs at the LHC: Lessons from Run I and preparation for Run IIPDFs at the LHC: Lessons from Run I and preparation for Run II
PDFs at the LHC: Lessons from Run I and preparation for Run II
 
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
 
New dynamics in parton distributions at a 100 TeV hadron collider
New dynamics in parton distributions at a 100 TeV hadron colliderNew dynamics in parton distributions at a 100 TeV hadron collider
New dynamics in parton distributions at a 100 TeV hadron collider
 
Pilot Optimization and Channel Estimation for Multiuser Massive MIMO Systems
Pilot Optimization and Channel Estimation for Multiuser Massive MIMO SystemsPilot Optimization and Channel Estimation for Multiuser Massive MIMO Systems
Pilot Optimization and Channel Estimation for Multiuser Massive MIMO Systems
 
Pycon9 dibernado
Pycon9 dibernadoPycon9 dibernado
Pycon9 dibernado
 
Design Pattern of HBase Configuration
Design Pattern of HBase ConfigurationDesign Pattern of HBase Configuration
Design Pattern of HBase Configuration
 
Search for Diboson Resonances in CMS
Search for Diboson Resonances in CMSSearch for Diboson Resonances in CMS
Search for Diboson Resonances in CMS
 
C07.heaps
C07.heapsC07.heaps
C07.heaps
 
Parton Distributions: future needs, and the role of the High-Luminosity LHC
Parton Distributions: future needs, and the role of the High-Luminosity LHCParton Distributions: future needs, and the role of the High-Luminosity LHC
Parton Distributions: future needs, and the role of the High-Luminosity LHC
 
Internship Report Presentation
Internship Report Presentation Internship Report Presentation
Internship Report Presentation
 
report_present
report_presentreport_present
report_present
 

Similar to The NNPDF3.1 global PDF analysis

NNPDF3.0: parton distributions for the LHC Run II
NNPDF3.0: parton distributions for the LHC Run IINNPDF3.0: parton distributions for the LHC Run II
NNPDF3.0: parton distributions for the LHC Run II
juanrojochacon
 
Constraints on the gluon PDF from top quark differential distributions at NNLO
Constraints on the gluon PDF from top quark differential distributions at NNLOConstraints on the gluon PDF from top quark differential distributions at NNLO
Constraints on the gluon PDF from top quark differential distributions at NNLO
juanrojochacon
 
NNPDF3.0: Next generation parton distributions for the LHC Run II
NNPDF3.0: Next generation parton distributions for the LHC Run IINNPDF3.0: Next generation parton distributions for the LHC Run II
NNPDF3.0: Next generation parton distributions for the LHC Run II
juanrojochacon
 
Parton Distributions at a 100 TeV Hadron Collider
Parton Distributions at a 100 TeV Hadron ColliderParton Distributions at a 100 TeV Hadron Collider
Parton Distributions at a 100 TeV Hadron Collider
juanrojochacon
 
News from NNPDF: QED, small-x, and alphas(MZ) fits
News from NNPDF: QED, small-x, and alphas(MZ) fitsNews from NNPDF: QED, small-x, and alphas(MZ) fits
News from NNPDF: QED, small-x, and alphas(MZ) fits
juanrojochacon
 
Parton Distributions at a 100 TeV Hadron Collider
Parton Distributions at a 100 TeV Hadron ColliderParton Distributions at a 100 TeV Hadron Collider
Parton Distributions at a 100 TeV Hadron Collider
juanrojochacon
 
aMCfast: Automation of Fast NLO Computations for PDF fits
aMCfast: Automation of Fast NLO Computations for PDF fitsaMCfast: Automation of Fast NLO Computations for PDF fits
aMCfast: Automation of Fast NLO Computations for PDF fits
juanrojochacon
 
Parton Distributions with Intrinsic Charm
Parton Distributions with Intrinsic CharmParton Distributions with Intrinsic Charm
Parton Distributions with Intrinsic Charm
juanrojochacon
 
PDF uncertainties the LHC made easy: a compression algorithm for the combinat...
PDF uncertainties the LHC made easy: a compression algorithm for the combinat...PDF uncertainties the LHC made easy: a compression algorithm for the combinat...
PDF uncertainties the LHC made easy: a compression algorithm for the combinat...
juanrojochacon
 
Progress in the NNPDF global analysis
Progress in the NNPDF global analysisProgress in the NNPDF global analysis
Progress in the NNPDF global analysis
Juan Rojo
 
Statistical issues in global fits: Lessons from PDF determinations
Statistical issues in global fits: Lessons from PDF determinationsStatistical issues in global fits: Lessons from PDF determinations
Statistical issues in global fits: Lessons from PDF determinations
Juan Rojo
 
Rojo pdf lattice2017-nnpdf
Rojo pdf lattice2017-nnpdfRojo pdf lattice2017-nnpdf
Rojo pdf lattice2017-nnpdf
juanrojochacon
 
News from NNPDF: new data and fits with intrinsic charm
News from NNPDF: new data and fits with intrinsic charmNews from NNPDF: new data and fits with intrinsic charm
News from NNPDF: new data and fits with intrinsic charm
juanrojochacon
 
Tuning Pythia8,1: The Monash 2013 Tune
Tuning Pythia8,1: The Monash 2013 TuneTuning Pythia8,1: The Monash 2013 Tune
Tuning Pythia8,1: The Monash 2013 Tune
juanrojochacon
 
The structure of the proton in the Higgs Boson Era
The structure of the proton in the Higgs Boson EraThe structure of the proton in the Higgs Boson Era
The structure of the proton in the Higgs Boson Era
juanrojochacon
 
W+charm poster
W+charm posterW+charm poster
W+charm poster
Giacomo Snidero
 
Precision determination of the small-x gluon from charm production at LHCb
Precision determination of the small-x gluon from charm production at LHCbPrecision determination of the small-x gluon from charm production at LHCb
Precision determination of the small-x gluon from charm production at LHCb
juanrojochacon
 
Europy17_dibernardo
Europy17_dibernardoEuropy17_dibernardo
Europy17_dibernardo
GIUSEPPE DI BERNARDO
 
Nomads
NomadsNomads
Nomads
SD Paul
 
Improved Timing Estimation Using Iterative Normalization Technique for OFDM S...
Improved Timing Estimation Using Iterative Normalization Technique for OFDM S...Improved Timing Estimation Using Iterative Normalization Technique for OFDM S...
Improved Timing Estimation Using Iterative Normalization Technique for OFDM S...
IJECEIAES
 

Similar to The NNPDF3.1 global PDF analysis (20)

NNPDF3.0: parton distributions for the LHC Run II
NNPDF3.0: parton distributions for the LHC Run IINNPDF3.0: parton distributions for the LHC Run II
NNPDF3.0: parton distributions for the LHC Run II
 
Constraints on the gluon PDF from top quark differential distributions at NNLO
Constraints on the gluon PDF from top quark differential distributions at NNLOConstraints on the gluon PDF from top quark differential distributions at NNLO
Constraints on the gluon PDF from top quark differential distributions at NNLO
 
NNPDF3.0: Next generation parton distributions for the LHC Run II
NNPDF3.0: Next generation parton distributions for the LHC Run IINNPDF3.0: Next generation parton distributions for the LHC Run II
NNPDF3.0: Next generation parton distributions for the LHC Run II
 
Parton Distributions at a 100 TeV Hadron Collider
Parton Distributions at a 100 TeV Hadron ColliderParton Distributions at a 100 TeV Hadron Collider
Parton Distributions at a 100 TeV Hadron Collider
 
News from NNPDF: QED, small-x, and alphas(MZ) fits
News from NNPDF: QED, small-x, and alphas(MZ) fitsNews from NNPDF: QED, small-x, and alphas(MZ) fits
News from NNPDF: QED, small-x, and alphas(MZ) fits
 
Parton Distributions at a 100 TeV Hadron Collider
Parton Distributions at a 100 TeV Hadron ColliderParton Distributions at a 100 TeV Hadron Collider
Parton Distributions at a 100 TeV Hadron Collider
 
aMCfast: Automation of Fast NLO Computations for PDF fits
aMCfast: Automation of Fast NLO Computations for PDF fitsaMCfast: Automation of Fast NLO Computations for PDF fits
aMCfast: Automation of Fast NLO Computations for PDF fits
 
Parton Distributions with Intrinsic Charm
Parton Distributions with Intrinsic CharmParton Distributions with Intrinsic Charm
Parton Distributions with Intrinsic Charm
 
PDF uncertainties the LHC made easy: a compression algorithm for the combinat...
PDF uncertainties the LHC made easy: a compression algorithm for the combinat...PDF uncertainties the LHC made easy: a compression algorithm for the combinat...
PDF uncertainties the LHC made easy: a compression algorithm for the combinat...
 
Progress in the NNPDF global analysis
Progress in the NNPDF global analysisProgress in the NNPDF global analysis
Progress in the NNPDF global analysis
 
Statistical issues in global fits: Lessons from PDF determinations
Statistical issues in global fits: Lessons from PDF determinationsStatistical issues in global fits: Lessons from PDF determinations
Statistical issues in global fits: Lessons from PDF determinations
 
Rojo pdf lattice2017-nnpdf
Rojo pdf lattice2017-nnpdfRojo pdf lattice2017-nnpdf
Rojo pdf lattice2017-nnpdf
 
News from NNPDF: new data and fits with intrinsic charm
News from NNPDF: new data and fits with intrinsic charmNews from NNPDF: new data and fits with intrinsic charm
News from NNPDF: new data and fits with intrinsic charm
 
Tuning Pythia8,1: The Monash 2013 Tune
Tuning Pythia8,1: The Monash 2013 TuneTuning Pythia8,1: The Monash 2013 Tune
Tuning Pythia8,1: The Monash 2013 Tune
 
The structure of the proton in the Higgs Boson Era
The structure of the proton in the Higgs Boson EraThe structure of the proton in the Higgs Boson Era
The structure of the proton in the Higgs Boson Era
 
W+charm poster
W+charm posterW+charm poster
W+charm poster
 
Precision determination of the small-x gluon from charm production at LHCb
Precision determination of the small-x gluon from charm production at LHCbPrecision determination of the small-x gluon from charm production at LHCb
Precision determination of the small-x gluon from charm production at LHCb
 
Europy17_dibernardo
Europy17_dibernardoEuropy17_dibernardo
Europy17_dibernardo
 
Nomads
NomadsNomads
Nomads
 
Improved Timing Estimation Using Iterative Normalization Technique for OFDM S...
Improved Timing Estimation Using Iterative Normalization Technique for OFDM S...Improved Timing Estimation Using Iterative Normalization Technique for OFDM S...
Improved Timing Estimation Using Iterative Normalization Technique for OFDM S...
 

More from juanrojochacon

Higgs Pair Production at the LHC and future colliders
Higgs Pair Production at the LHC and future collidersHiggs Pair Production at the LHC and future colliders
Higgs Pair Production at the LHC and future colliders
juanrojochacon
 
Parton distributions from high-precision collider data
Parton distributions from high-precision collider dataParton distributions from high-precision collider data
Parton distributions from high-precision collider data
juanrojochacon
 
Higgs pair production in vector-boson fusion at the LHC and beyond
Higgs pair production in vector-boson fusion at the LHC and beyondHiggs pair production in vector-boson fusion at the LHC and beyond
Higgs pair production in vector-boson fusion at the LHC and beyond
juanrojochacon
 
Discovery through precision: perturbative QCD at the dawn of the LHC Run II
Discovery through precision: perturbative QCD at the dawn of the LHC Run IIDiscovery through precision: perturbative QCD at the dawn of the LHC Run II
Discovery through precision: perturbative QCD at the dawn of the LHC Run II
juanrojochacon
 
CERN, Particle Physics and the Large Hadron Collider
CERN, Particle Physics and the Large Hadron ColliderCERN, Particle Physics and the Large Hadron Collider
CERN, Particle Physics and the Large Hadron Collider
juanrojochacon
 
The structure of the proton in the Higgs boson era
The structure of the proton in the Higgs boson eraThe structure of the proton in the Higgs boson era
The structure of the proton in the Higgs boson era
juanrojochacon
 
Particle Physics, CERN and the Large Hadron Collider
Particle Physics, CERN and the Large Hadron ColliderParticle Physics, CERN and the Large Hadron Collider
Particle Physics, CERN and the Large Hadron Collider
juanrojochacon
 
PDF uncertainties and the W mass: Report from the Workshop “Parton Distributi...
PDF uncertainties and the W mass: Report from the Workshop “Parton Distributi...PDF uncertainties and the W mass: Report from the Workshop “Parton Distributi...
PDF uncertainties and the W mass: Report from the Workshop “Parton Distributi...
juanrojochacon
 
Characterizing New Physics with Polarized Beams in Hadron Collisions
Characterizing New Physics with Polarized Beams in Hadron CollisionsCharacterizing New Physics with Polarized Beams in Hadron Collisions
Characterizing New Physics with Polarized Beams in Hadron Collisions
juanrojochacon
 
The Standard Model and the LHC in the Higgs Boson Era
The Standard Model and the LHC in the Higgs Boson EraThe Standard Model and the LHC in the Higgs Boson Era
The Standard Model and the LHC in the Higgs Boson Era
juanrojochacon
 
The Structure of the Proton in the Higgs Boson Era
The Structure of the Proton in the Higgs Boson EraThe Structure of the Proton in the Higgs Boson Era
The Structure of the Proton in the Higgs Boson Era
juanrojochacon
 
Boosting Strong Higgs Pair Production at the LHC
Boosting Strong Higgs Pair Production at the LHCBoosting Strong Higgs Pair Production at the LHC
Boosting Strong Higgs Pair Production at the LHC
juanrojochacon
 
Pinning down the hhVV coupling from Higgs boson pair production in vector-b...
Pinning down the hhVV coupling  from Higgs boson pair  production in vector-b...Pinning down the hhVV coupling  from Higgs boson pair  production in vector-b...
Pinning down the hhVV coupling from Higgs boson pair production in vector-b...
juanrojochacon
 

More from juanrojochacon (13)

Higgs Pair Production at the LHC and future colliders
Higgs Pair Production at the LHC and future collidersHiggs Pair Production at the LHC and future colliders
Higgs Pair Production at the LHC and future colliders
 
Parton distributions from high-precision collider data
Parton distributions from high-precision collider dataParton distributions from high-precision collider data
Parton distributions from high-precision collider data
 
Higgs pair production in vector-boson fusion at the LHC and beyond
Higgs pair production in vector-boson fusion at the LHC and beyondHiggs pair production in vector-boson fusion at the LHC and beyond
Higgs pair production in vector-boson fusion at the LHC and beyond
 
Discovery through precision: perturbative QCD at the dawn of the LHC Run II
Discovery through precision: perturbative QCD at the dawn of the LHC Run IIDiscovery through precision: perturbative QCD at the dawn of the LHC Run II
Discovery through precision: perturbative QCD at the dawn of the LHC Run II
 
CERN, Particle Physics and the Large Hadron Collider
CERN, Particle Physics and the Large Hadron ColliderCERN, Particle Physics and the Large Hadron Collider
CERN, Particle Physics and the Large Hadron Collider
 
The structure of the proton in the Higgs boson era
The structure of the proton in the Higgs boson eraThe structure of the proton in the Higgs boson era
The structure of the proton in the Higgs boson era
 
Particle Physics, CERN and the Large Hadron Collider
Particle Physics, CERN and the Large Hadron ColliderParticle Physics, CERN and the Large Hadron Collider
Particle Physics, CERN and the Large Hadron Collider
 
PDF uncertainties and the W mass: Report from the Workshop “Parton Distributi...
PDF uncertainties and the W mass: Report from the Workshop “Parton Distributi...PDF uncertainties and the W mass: Report from the Workshop “Parton Distributi...
PDF uncertainties and the W mass: Report from the Workshop “Parton Distributi...
 
Characterizing New Physics with Polarized Beams in Hadron Collisions
Characterizing New Physics with Polarized Beams in Hadron CollisionsCharacterizing New Physics with Polarized Beams in Hadron Collisions
Characterizing New Physics with Polarized Beams in Hadron Collisions
 
The Standard Model and the LHC in the Higgs Boson Era
The Standard Model and the LHC in the Higgs Boson EraThe Standard Model and the LHC in the Higgs Boson Era
The Standard Model and the LHC in the Higgs Boson Era
 
The Structure of the Proton in the Higgs Boson Era
The Structure of the Proton in the Higgs Boson EraThe Structure of the Proton in the Higgs Boson Era
The Structure of the Proton in the Higgs Boson Era
 
Boosting Strong Higgs Pair Production at the LHC
Boosting Strong Higgs Pair Production at the LHCBoosting Strong Higgs Pair Production at the LHC
Boosting Strong Higgs Pair Production at the LHC
 
Pinning down the hhVV coupling from Higgs boson pair production in vector-b...
Pinning down the hhVV coupling  from Higgs boson pair  production in vector-b...Pinning down the hhVV coupling  from Higgs boson pair  production in vector-b...
Pinning down the hhVV coupling from Higgs boson pair production in vector-b...
 

Recently uploaded

clinical examination of hip joint (1).pdf
clinical examination of hip joint (1).pdfclinical examination of hip joint (1).pdf
clinical examination of hip joint (1).pdf
Priyankaranawat4
 
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
chanes7
 
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
RitikBhardwaj56
 
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityNatural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Akanksha trivedi rama nursing college kanpur.
 
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRMHow to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
Celine George
 
How to Make a Field Mandatory in Odoo 17
How to Make a Field Mandatory in Odoo 17How to Make a Field Mandatory in Odoo 17
How to Make a Field Mandatory in Odoo 17
Celine George
 
Smart-Money for SMC traders good time and ICT
Smart-Money for SMC traders good time and ICTSmart-Money for SMC traders good time and ICT
Smart-Money for SMC traders good time and ICT
simonomuemu
 
Pride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School DistrictPride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School District
David Douglas School District
 
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdfANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
Priyankaranawat4
 
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
Nguyen Thanh Tu Collection
 
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat  Leveraging AI for Diversity, Equity, and InclusionExecutive Directors Chat  Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
TechSoup
 
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptxChapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
tarandeep35
 
The History of Stoke Newington Street Names
The History of Stoke Newington Street NamesThe History of Stoke Newington Street Names
The History of Stoke Newington Street Names
History of Stoke Newington
 
Community pharmacy- Social and preventive pharmacy UNIT 5
Community pharmacy- Social and preventive pharmacy UNIT 5Community pharmacy- Social and preventive pharmacy UNIT 5
Community pharmacy- Social and preventive pharmacy UNIT 5
sayalidalavi006
 
World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024
ak6969907
 
writing about opinions about Australia the movie
writing about opinions about Australia the moviewriting about opinions about Australia the movie
writing about opinions about Australia the movie
Nicholas Montgomery
 
MARY JANE WILSON, A “BOA MÃE” .
MARY JANE WILSON, A “BOA MÃE”           .MARY JANE WILSON, A “BOA MÃE”           .
MARY JANE WILSON, A “BOA MÃE” .
Colégio Santa Teresinha
 
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
GeorgeMilliken2
 
A Independência da América Espanhola LAPBOOK.pdf
A Independência da América Espanhola LAPBOOK.pdfA Independência da América Espanhola LAPBOOK.pdf
A Independência da América Espanhola LAPBOOK.pdf
Jean Carlos Nunes Paixão
 

Recently uploaded (20)

clinical examination of hip joint (1).pdf
clinical examination of hip joint (1).pdfclinical examination of hip joint (1).pdf
clinical examination of hip joint (1).pdf
 
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
 
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
 
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityNatural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
 
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRMHow to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
 
How to Make a Field Mandatory in Odoo 17
How to Make a Field Mandatory in Odoo 17How to Make a Field Mandatory in Odoo 17
How to Make a Field Mandatory in Odoo 17
 
Smart-Money for SMC traders good time and ICT
Smart-Money for SMC traders good time and ICTSmart-Money for SMC traders good time and ICT
Smart-Money for SMC traders good time and ICT
 
Pride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School DistrictPride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School District
 
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdfANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
 
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
 
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat  Leveraging AI for Diversity, Equity, and InclusionExecutive Directors Chat  Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
 
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptxChapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
 
The History of Stoke Newington Street Names
The History of Stoke Newington Street NamesThe History of Stoke Newington Street Names
The History of Stoke Newington Street Names
 
Community pharmacy- Social and preventive pharmacy UNIT 5
Community pharmacy- Social and preventive pharmacy UNIT 5Community pharmacy- Social and preventive pharmacy UNIT 5
Community pharmacy- Social and preventive pharmacy UNIT 5
 
World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024
 
writing about opinions about Australia the movie
writing about opinions about Australia the moviewriting about opinions about Australia the movie
writing about opinions about Australia the movie
 
MARY JANE WILSON, A “BOA MÃE” .
MARY JANE WILSON, A “BOA MÃE”           .MARY JANE WILSON, A “BOA MÃE”           .
MARY JANE WILSON, A “BOA MÃE” .
 
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
 
A Independência da América Espanhola LAPBOOK.pdf
A Independência da América Espanhola LAPBOOK.pdfA Independência da América Espanhola LAPBOOK.pdf
A Independência da América Espanhola LAPBOOK.pdf
 

The NNPDF3.1 global PDF analysis

  • 1. Juan Rojo! VU Amsterdam & Theory group, Nikhef! ! on behalf of the NNPDF Collaboration! ! ! PDF4LHC Working Group meeting! 07/03/2017 NNPDF3.1 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 1
  • 2. 2 Why NNPDF3.1? An update of the NNPDF global analysis was motivated by:! The availability of a wealth of high-precision PDF-sensitive measurements from the Tevatron, ATLAS, CMS and LHCb, including processes such as the Z pT and differential distributions in top-quark production that have never been used before in a PDF fit! The striking recent progress in NNLO QCD calculations, which allows to include the majority of PDF-sensitive collider measurements into a fully consistent NNLO global analysis! The recent realisation that fitting the charm PDF has several advantages in the global QCD fit (beyond comparison with non-perturbative models), in particular stabilise the dependence with mcharm and improve the data/theory agreement for some of the most precise collider observables. Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 3. 3 NNPDF3.1: fit settings ! PDF evolution and DIS structure functions up to NNLO are computed with APFEL in the FONLL GM- VFN scheme! Hadronic data included using APPLgrid/FastNLO interfaced to MCFM/aMC@NLO/NLOjet++, supplemented by bin-by-bin NNLO/NLO K-factors obtained separately for each specific process! The APFELgrid tool is used to combine a priori PDF evolution with applgrid interpolated coefficient functions, achieving an speed-up by up to three orders of magnitude for the evaluation of hadronic cross-sections during the PDF fit Juan Rojo PDF4LHC WG Meeting, 07/03/2017 Bertone, Carrazza, Hartland CPC 16
  • 4. 4 Fitted vs Perturbative charm! The change of scheme between a theory with 3 active quarks and another with 4 active quarks is determined by the matching conditions: ! Most global fits (including NNPDF3.0) assume that c(3)(x)=0, in other words, the scale-independent (intrinsic) charm content of the proton vanishes! ! Releasing this assumption leads to the modified matching conditions Scale-independent ! (intrinsic) charm Scale-dependent! charm PDF: to be determined from data at Q0>mc Perturbative contribution from charm-anticharm radiation off gluons ! Whether or not c(3)(x)=0 is a good assumption can only be determined from data NNPDF3.1 fits obtained both for a fitted and for a perturbative charm PDF Ball, Bonvini, Rottoli, JHEP 17! Ball et al, PLB 17
  • 5. 5 Fitted charm recap! Based on the NNPDF3.0 settings, we produced NLO PDF sets with fitted charm! Small differences on light quarks and gluons! For the charm PDF at high scales, differences only for large-x, x < 0.08 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 NNPDF, EPJC 2016 ! Fitting the charm PDF leads to an improved data/theory agreement, a reduced dependence on mcharm and allows to compare with non- perturbative models of the proton structure! In NNPDF3.1, the new collider data allow a precise determination of the charm PDF, avoiding the need to rely on the EMC charm data NNPDF, EPJC 2016
  • 6. 6 Outline ! NNPDF3.1: ! Fit quality! Fitted charm vs perturbative charm! Comparison with NNPDF3.0 and other recent PDF sets! A bit of phenomenology! ! Impact of individual datasets:! Jets at NNLO! The Z pT! top quark distributions! Gauge boson production! The strange and charm content of the proton! ! Juan Rojo PDF4LHC WG Meeting, 07/03/2017 Disclaimer: I will certainly not have enough time for all these results, please see backup for more. ! All these results will be discussing in great detail in the upcoming paper!
  • 7. 7 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 ! NNPDF3.1 x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 Fitted charm Perturbative charm 2 GeV4 =102 NNPDF3.1 NNLO, Q PRELIMINARY PRELIMINARY
  • 8. 8 New datasets in NNPDF3.1 Combined HERA inclusive data Run I+II quark singlet and gluon D0 legacy W asymmetries Run II quark flavor separation ATLAS inclusive W, Z rap 7 TeV 2011 strangeness ATLAS inclusive jets 7 TeV 2011 large-x gluon ATLAS low-mass Drell-Yan 7 TeV 2010+2011 small-x quarks ATLAS Z pT 7,8 TeV 2011+2012 medium-x gluon and quarks ATLAS and CMS tt differential 8 TeV 2012 large-x gluon CMS Z (pT,y) 2D xsecs 8 TeV 2012 medium-x gluon and quarks CMS Drell-Yan low+high mass 8 TeV 2012 small-x and large-x quarks CMS W asymmetry 8 TeV 2012 quark flavor separation CMS 2.76 TeV jets 2012 medium and large-x gluon LHCb W,Z rapidity dists 7 TeV 2011 large-x quarks LHCb W,Z rapidity dists 8 TeV 2012 large-x quarks Measurement Data taking Motivation Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 9. 9 Fit quality: 𝛘2 NNLO FittedCharm NNLO PertCharm NLO FittedCharm NLO PertCharm HERA 1.16 1.20 1.16 1.16 ATLAS 1.13 1.19 1.45 1.50 CMS 1.04 1.06 1.20 1.20 LHCb 1.46 1.46 1.94 1.93 ! For collider data, NNLO theory leads to a markedly better fit quality that than NLO (since the new data included has small experimental uncertainties, and NNLO corrections mandatory)! The global PDF analysis where the charm PDF is fitted leads to a slightly superior fit quality than assuming a perturbatively generated charm PDF! In general good description of all the new collider measurements included in NNPDF3.1 PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 10. 10 Impact of new data Juan Rojo PDF4LHC WG Meeting, 07/03/2017 x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/u(x,Q 2 u(x,Q 0.9 0.95 1 1.05 1.1 1.15 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/u(x,Q 2 u(x,Q 0 0.02 0.04 0.06 0.08 0.1 0.12 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0 0.02 0.04 0.06 0.08 0.1 0.12 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q PRELIMINARY PRELIMINARY PRELIMINARY PRELIMINARY RelativePDFerror RelativePDFerror
  • 11. 11 Impact of new data Juan Rojo PDF4LHC WG Meeting, 07/03/2017 x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/d(x,Q 2 d(x,Q 0 0.02 0.04 0.06 0.08 0.1 0.12 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 (x,Q + )/s 2 (x,Q+ s 0 0.02 0.04 0.06 0.08 0.1 0.12 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 )/d(x,Q2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 (x,Q + )/s 2 (x,Q+ s 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q PRELIMINARY PRELIMINARY PRELIMINARY PRELIMINARY RelativePDFerror RelativePDFerror
  • 12. 12 Impact of new data Juan Rojo PDF4LHC WG Meeting, 07/03/2017 x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/d(x,Q 2 d(x,Q 0 0.02 0.04 0.06 0.08 0.1 0.12 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 (x,Q + )/s 2 (x,Q+ s 0 0.02 0.04 0.06 0.08 0.1 0.12 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 )/d(x,Q2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 (x,Q + )/s 2 (x,Q+ s 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 3.0 dataset global dataset 2 GeV4 =102 NNPDF3.1 NNLO FC, Q Significant reduction of PDF uncertainties due to the new data, in particular for the gluon and the down quark (and the antiquarks as well)! Shifts induced by the new data typically consistent at the one-sigma level with the 3.0 datasets results, though in some cases bigger effects are seen (i.e. the large-x down quark) ! The new data has decisive impact on PDFs! PRELIMINARY PRELIMINARY
  • 13. 13 Comparison with NNPDF3.0 x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.0 NNPDF3.1 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 )/u(x,Q2 u(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.0 NNPDF3.1 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 )/d(x,Q2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.0 NNPDF3.1 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 (x,Q + )/s2 (x,Q+ s 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 NNPDF3.0 NNPDF3.1 2 GeV4 =102 NNLO, Q PRELIMINARY PRELIMINARY PRELIMINARY PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 14. 14 Comparison with NNPDF3.0 x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.0 NNPDF3.1 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 )/u(x,Q2 u(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.0 NNPDF3.1 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 )/d(x,Q2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.0 NNPDF3.1 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 (x,Q + )/s2 (x,Q+ s 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 NNPDF3.0 NNPDF3.1 2 GeV4 =102 NNLO, Q Agreement between 3.1 and 3.0 at the one-sigma level, with 3.1 exhibiting in most cases reduced PDF uncertainties! In general the quark PDFs tend to be harder, specially in the case of strangeness due to the impact of the ATLAS W,Z 2011 data! Increase in the gluon for x=0.01 by 0.5-sigma, suppression at large-x from top pair data PRELIMINARY PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 15. 15 new data vs new methodology Juan Rojo PDF4LHC WG Meeting, 07/03/2017 x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.0 NNPDF3.1 (NNPDF3.0 dataset) NNPDF3.1 global 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10)[ref]2 )/d(x,Q2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.0 NNPDF3.1 (NNPDF3.0 dataset) NNPDF3.1 global 2 GeV4 =102 NNLO, Q Impact of new data new methodology (mostly fitting charm) PRELIMINARY PRELIMINARY
  • 16. 16 Higgs production cross-sections Juan Rojo PDF4LHC WG Meeting, 07/03/2017 PRELIMINARY PRELIMINARY PRELIMINARY PRELIMINARY
  • 17. 17 Higgs production cross-sections Juan Rojo PDF4LHC WG Meeting, 07/03/2017 For gluon-initiated processes, good agreement between 3.1 and 3.0 with reduced PDF uncertainties in the latter case! For quark-initiated processes, the new collider data pulls towards higher cross-sections! The new ABMP16 set is in reasonable agreement with the other sets provided the PDG value of the strong coupling is used PRELIMINARY PRELIMINARY
  • 18. 18 Large-x PDF positivity Juan Rojo PDF4LHC WG Meeting, 07/03/2017 Ideally, allow PDFs to become negative but ensure that a large number of ``mock’’ observables are positive- definite (i.e. W’ cross-section at 5 TeV)! In NNPDF3.0 we already include DIS SFs and DY u*ubar, d*dbar, s*sbar xsecs, and we will include more in our next release (non-trivial improvement of neural network training algorithm required)! Adding the many new LHC observables already improves a lot the large-x positivity issues in NNPDF3.1! See Michelangelo’s talk! PRELIMINARY
  • 19. 19 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 ! Jet production ! x 4− 10 3− 10 2− 10 1− 10 )[ref]2 )/g(x,Q2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 Global No jet data 2 GeV4 =102 NNLO, Q PRELIMINARY
  • 20. 20 Jets at NNLO J. Currie, Krakow 01/17 ! If the jet pT is used as central scale, NNLO/NLO K-factors only a few percent! NNLO/NLO shift within NLO scale uncertainties! This trend holds for all rapidity regions ! NNLO results available only for then ATLAS 7 TeV 2011 measurement! In NNPDF3.1, use NLO matrix elements for jets, computed with pT as central scale, and add the NLO scale uncertainties as additional theory uncertainty Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 21. 21 Inclusive jets in NNPDF3.1! In NNPDF3.1, we include the central rapidity bin of the ATLAS 7 TeV 2011 inclusive jets, finding good fit quality: 𝛘2 (NNLO)=1.06 and 𝛘2 (NLO)=1.12! For CMS we include the inclusive jets at 2.76 TeV, also good data/theory agreement! Good description of all other jet datasets, already included in NNPDF3.0! Jet data still quite constraining for the large-x gluon, though impact less dramatic as in previous NNPDF releases due to the presence of other gluon-sensitive measurements in the fit (more later) x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 Global No jet data 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 )/d(x,Q2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 Global No jet data 2 GeV4 =102 NNLO, Q PRELIMINARY PRELIMINARY Impact of jet data in NNPDF3.1 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 22. 22 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 ! The Z transverse momentum
  • 23. 23 Impact of Z pt data ! For the first time in a global fit, the transverse momentum of the Z boson has been included! NNLO calculations for K-factors from Boughezal and Petriello, very CPU time intensive!! All the Z pT measurements from ATLAS and CMS at 8 TeV included Juan Rojo PDF4LHC WG Meeting, 07/03/2017 Dedicated study: Boughezal, Guffanti, Petriello, Ubiali, in preparation
  • 24. 24 Impact of Z pt data Juan Rojo ATLAS PDF Fit Forum, 10/02/2017 ATLAS 8 TeV (M,pT) CMS 8 TeV (y,pT) ! Good fit quality to 8 TeV ATLAS and CMS, though very sensitive to stat fluctuations! Included 1% of residual stat uncertainty from K-factor calculation, else 𝛘2 (NNLO) worse by factor 4. Tiny changes in shape of TH prediction worsen significantly fit quality since exp uncorr errors v small ! Despite fitting 8 TeV data, worse description of 7 TeV data (tension between 7 and 8 TeV?) ATLAS 8 TeV (y,pT) ATLAS 8 TeV (M,pT) CMS 8 TeV (y,pT) 𝛘 0.9 0.9 1.3 𝛘 2.4 1.2 3.6 PRELIMINARY NNPDF3.1 NNPDF3.1
  • 25. 25 Impact of Z pT data ! Impact on many PDFs: harder gluon at medium-x (relevant for ggF Higgs) and softer quarks in the same region.! The region of intermediate-x is the region where Z pT data is expected to have most sensitivity! New important addition to the toolbox of global PDF fits! x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.1 no Z pT NNPDF3.1 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/d(x,Q 2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.1 no Z pT NNPDF3.1 2 GeV4 =102 NNLO, Q PRELIMINARY PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017 NB the ATLAS Z pt 7 TeV data not included in these fits
  • 26. 26 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 ! The strange and charm! content of the proton !
  • 27. 27 The strangeness content of the proton ! xFitter analysis of the ATLAS W,Z 2011 inclusive data prefers a symmetric strange sea with small uncertainty, at odds with all other PDF fits! Actually the ATLAS data suggest that there are more strange than up and down sea quarks in the proton, which is very difficult to understand from non-perturbative QCD arguments ! Can one accommodate the ATLAS W,Z 2011 data in the global fit? What happens to strangeness? Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 28. 28 The strangeness content of the proton ! Confirmed the strange symmetric fit preferred by the ATLAS W,Z 2011 measurements, though we find PDF uncertainties larger by a factor 2! The global fit accommodates both the neutrino data and the ATLAS W,Z 2011 ( 𝛘2 nutev=1.1, 𝛘2 AWZ11=1.8 ) finding a compromise value for RS=0.61+-0.14! Mild tension in the global fit (1.5-sigma level at most) when simultaneously included neutrino data, CMS W+charm and ATLAS W,Z 2010+2011 PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 29. 29 Charm content of proton revisited! The new LHC experiments provide additional constraints on non-perturbative charm ! Including the EMC charm data, we find evidence for non-perturbative charm at the 1.5 sigma level. Even without EMC data, non-perturbative charm bounded < 0.5% at the 68% CL PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017 ! Non-perturbative charm is certainly small, but data exhibit preference for non-zero value NNPDF3.0 dataset (no EMC): 1.6 +- 1.2%! NNPDF3.1 dataset (no EMC): 0.3 +- 0.4%
  • 30. 30 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 ! Top-quark pair! differential distributions! x 4− 10 3− 10 2− 10 1− 10 )[ref]2 )/g(x,Q2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 Global no Z pt data No top data No jet data 2 GeV4 =102 NNLO, Q
  • 31. 31 ! Top-quark pair production driven by the gluon- gluon luminosity! NNLO calculations for stable top quarks available (with decays in the pipeline)! Recent precision data from ATLAS and CMS at 8 TeV with full breakdown of statistical and systematic uncertainties! For the first time, included ATLAS+CMS 8 TeV differential top measurements into the global PDF fit The large-x gluon from top-quark production Czakon, Hartland, Mitov, Nocera, Rojo 16 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 32. 32 The large-x gluon from top-quark production ! From CMS we include the normalised top-quark pair rapidity at 8 TeV! In addition we include total cross-section data at 7,8 and 13 TeV! Good agreement between NNLO theory and the LHC data PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017 ! From CMS we include the normalised top-quark pair rapidity at 8 TeV! From ATLAS we include the normalised top pair rapidity at 8 TeV PRELIMINARY
  • 33. 33 ! PDF uncertainties reduced by more than a factor two for mtt ≳ 500 GeV! Our choice of fitted distributions, yt and ytt, reduces the risk of BSM contamination (kinematical suppression of resonances), which might show up instead in mtt and pt T, where PDF uncertainties are now much smaller! Self-consistent program to use top data to provide better theory predictions Improved sensitivity to BSM dynamics! with top-quark final states! The large-x gluon from top-quark production mtt data not used in fit Czakon, Hartland, Mitov, Nocera, Rojo 16 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 34. 34 Impact on the gluon! In NNPDF3.1 we have three groups of processes that provide direct information on the gluon: inclusive jets, top pair differential, and the Z transverse momentum! Are the constraints from each of these groups consistent among them? Yes! x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 Global no Z pt data No top data No jet data 2 GeV4 =102 NNLO, Q PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 35. 35 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 ! Inclusive weak boson production!
  • 36. 36 CMS Drell-Yan 8 TeV ! Drell-Yan production at 8 TeV updates a previous 7 TeV measurement (already in NNPDF3.0) and is expected to provide useful information on quark flavour separation! Intensive NNLO calculation to achieve good enough statistical accuracy. ! Kinematical cuts exclude the first rapidity bin, which vanishes at LO due to lepton acceptance cuts Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 37. 37 CMS Drell-Yan 8 TeV ! Improved description as compared to NNPDF3.0! Despite good visual data/theory agreement, the fit description is poor: 𝛘2/Ndat = 3.3! Difficult to trace the origin of the problem since only full covariance matrix (no breakdown of systematics) is provided PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 38. 38 CMS Drell-Yan 8 TeV x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/d(x,Q 2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 Global no CMSDY2D12 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 (x,Qd)/2 (x,Qd 0.9 0.95 1 1.05 1.1 1.15 Global no CMSDY2D12 2 GeV4 =102 NNPDF3.1 NNLO FC, Q ! This measurement indeed affects large-x quarks and antiquarks …! … but only shift in central values, with PDF errors stable or even increasing in some cases! Tension with other experiments in global fit? Internal tensions? PRELIMINARY PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 39. 39 Forward W,Z production at LHCb ! NNPDF3.1 includes the complete 7 TeV and 8 TeV W,Z measurements in the muon channel, as well as most of the electron channel measurements! Crucial to account for the cross-correlations between the W and Z data! Expect improved quark-flavor separation for large-x quarks, thanks to LHCb forward kinematics! Complementary information to that from W, Z production from ATLAS and CMS Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 40. 40 Forward W,Z production at LHCb NNPDF3.1 ! Improved agreement as compared to NNPDF3.0, specially in the forward region! Significant reduction of PDF uncertainties wrt to NNPDF3.0, by almost factor 2! NNLO QCD does not describe the most central bin of the 8 TeV W data: excluded from fit PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 41. 41 Forward W,Z production at LHCb ! The reduction of PDF uncertainties from the LHCb data is more marked for the large-x quarks! Note shift on central values, in addition to reducing PDF errors! For the down quark, PDF errors decrease by almost a factor 2 for x=0.2 Juan Rojo LHCb EW meeting, 23/02/2017 x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/u(x,Q 2 u(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.1, no LHCb data NNPDF3.1, with LHCb data 2 GeV4 =102 NNLO, Q x 2− 10 1− 10 )[ref]2 )/d(x,Q2 d(x,Q 0 0.02 0.04 0.06 0.08 0.1 0.12 NNPDF3.1, no LHCb data NNPDF3.1, with LHCb data NNLO, Q = 100 GeV PRELIMINARY PRELIMINARY PRELIMINARY
  • 42. 42 NNPDF3.1: summary and outlook ! Several new datasets included, from the HERA and Tevatron legacy data to precision LHC electroweak production measurements, the 8 TeV Z pT data, and top quark production differential distributions! Good stability with respect to NNPDF3.0, with main differences being a reduction of the large-x PDF uncertainties and an improved quark flavour separation! Improved stability of the gluon from the combination of top, Z pT, and jet data! Increase in strangeness from inclusion of the ATLAS W,Z 2011 data! Improved fit quality once the charm PDF is fitted, rather than perturbatively generated. Non-negligible differences at the PDF level. NNPDF3.1 fits for the two options will be released.! NNPDF3.1 will be available in LHAPDF very soon! Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 43. 43 NNPDF3.1: summary and outlook ! Several new datasets included, from the HERA and Tevatron legacy data to precision LHC electroweak production measurements, the 8 TeV Z pT data, and top quark production differential distributions! Good stability with respect to NNPDF3.0, with main differences being a reduction of the large-x PDF uncertainties and an improved quark flavour separation! Improved stability of the gluon from the combination of top, Z pT, and jet data! Increase in strangeness from inclusion of the ATLAS W,Z 2011 data! Improved fit quality once the charm PDF is fitted, rather than perturbatively generated. Non-negligible differences at the PDF level. NNPDF3.1 fits for the two options will be released.! NNPDF3.1 will be available in LHAPDF very soon! Juan Rojo PDF4LHC WG Meeting, 07/03/2017 Thanks for your attention!
  • 44. 44 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 ! ! Extra Material ! !
  • 45. 45 Fitting data with sub-percent errors! In several of the new experiments in NNPDF3.1, uncorrelated uncertainties are very small, at the few permille level. This implies that is required to get the shape of the theory prediction correct to the same accuracy, which can be very challenging for CPU-intensive NNLO calculations! We tackle this by including the MC stat integration error from the theory prediction as an additional uncorrelated systematic error in the 𝛘2! This also implies that even very small variations of the correlation model (which ultimately determines what is correlated and what uncorrelated) can lead to very large variations of the 𝛘2 for same input theory! To avoid this, measurements should provide an estimate of the uncertainty associated with correlations PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 46. 46 Fitted charm vs perturbative charm x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 Fitted charm Perturbative charm 2 GeV4 =102 NNPDF3.1 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/d(x,Q 2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 Fitted charm Perturbative charm 2 GeV4 =102 NNPDF3.1 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 (x,Q + )/s 2 (x,Q+ s 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 Fitted charm Perturbative charm 2 GeV4 =102 NNPDF3.1 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/u(x,Q 2 u(x,Q 0.9 0.95 1 1.05 1.1 1.15 Fitted charm Perturbative charm 2 GeV4 =102 NNPDF3.1 NNLO, Q PRELIMINARY PRELIMINARY PRELIMINARY PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 47. 47 Fitted charm vs perturbative charm x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 Fitted charm Perturbative charm 2 GeV4 =102 NNPDF3.1 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/d(x,Q 2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 Fitted charm Perturbative charm 2 GeV4 =102 NNPDF3.1 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 (x,Q + )/s 2 (x,Q+ s 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 Fitted charm Perturbative charm 2 GeV4 =102 NNPDF3.1 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/u(x,Q 2 u(x,Q 0.9 0.95 1 1.05 1.1 1.15 Fitted charm Perturbative charm 2 GeV4 =102 NNPDF3.1 NNLO, Q Differences between the 3.1NNLO fits with perturbative or fitted charm are moderate, at the one-sigma level at most, but not negligible for precision physics! In general the fit quality using fitted charm is better than with perturbative charm! All the released NNPDF3.1 sets will include variants with both options concerning the treatment of the charm PDF PRELIMINARY PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 48. 48 Comparison with MMHT and CT Juan Rojo PDF4LHC WG Meeting, 07/03/2017 x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/d(x,Q 2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.1 fitted charm CT14 MMHT14 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.1 fitted charm CT14 MMHT14 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 (x,Q + )/s 2 (x,Q+ s 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.1 fitted charm CT14 MMHT14 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/u(x,Q 2 u(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.1 fitted charm CT14 MMHT14 2 GeV4 =102 NNLO, Q
  • 49. 49 Comparison with ABMP16 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 NNPDF3.0 global ABMP16 as=0.118 ABMP16 as default 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/d(x,Q 2 d(x,Q 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 NNPDF3.0 global ABMP16 as=0.118 ABMP16 as default 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/u(x,Q 2 u(x,Q 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 NNPDF3.0 global ABMP16 as=0.118 ABMP16 as default 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref]2 (x,Q + )/s2 (x,Q+ s 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 NNPDF3.0 global ABMP16 as=0.118 ABMP16 as default 2 GeV4 =102 NNLO, Q
  • 50. 50 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 Impact of ATLAS 7 TeV Z pT data x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.1 no Z pT NNPDF3.1 2 GeV4 =102 NNLO, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/d(x,Q 2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 NNPDF3.1 no Z pT NNPDF3.1 2 GeV4 =102 NNLO, Q with 8 TeV Z pt data with 8 TeV Z pt data x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/g(x,Q 2 g(x,Q 0.9 0.95 1 1.05 1.1 1.15 no 7 TeV Z pT data with 7 TeV Z pT data 2 GeV4 =102 NNPDF3.1 NNLO FC, Q x 4− 10 3− 10 2− 10 1− 10 )[ref] 2 )/d(x,Q 2 d(x,Q 0.9 0.95 1 1.05 1.1 1.15 no 7 TeV Z pT data with 7 TeV Z pT data 2 GeV4 =102 NNPDF3.1 NNLO FC, Q (only 8 TeV Z pt data) (only 8 TeV Z pt data)
  • 51. 51 Forward W,Z production at LHCb NNPDF3.1 ! For Z production, also improved shape agreement in NNPDF3.1! Overall fit quality for LHCb experiments: 𝛘2/N = 1.4 (1.9) at NNLO (NLO). Note NNLO crucial! PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 52. 52 Charm content of proton revisited x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 (x,Q+ xc 0.01− 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 NNPDF3.1, no LHCb data NNPDF3.1, with LHCb data NNLO, Q = 2 GeV ! The new collider measurements provide important constraints on the large-x charm PDF, for instance, the 7 and 8 TeV W,Z measurements from LHCb ! Models where non-perturbative charm can carry much more than 1% of the total proton’s momentum are strongly disfavoured by the LHCb data PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 53. 53 Impact on the gluon! The best precision in the large-x gluon is achieved by combining jets with top-pair and Z pt data! In terms of constraining power at large-x, we find the hierarchy: jets > ttbar differential > Z pt x 0.1 0.2 0.3 0.4 0.5 )[ref] 2 )/g(x,Q 2 g(x,Q 0 0.05 0.1 0.15 0.2 0.25 Global no Z pt data No top data No jet data 2 GeV4 =102 NNLO, Q PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017 RelativePDFerror
  • 54. 54 The strangeness content of the proton x 4− 10 3− 10 2− 10 1− 10 )2 (x,QSR 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 NNPDF3.0 NNPDF3.1 global NNPDF3.1 collider NNLO, Q=1.65 GeV ! Collider-only and global fits in agreement within PDF uncertainties! In NNPDF3.1 strangeness is less suppressed than in NNPDF3.0 (mostly due to the new data) but still in agreement within PDF uncertainties! The collider-only fit is becoming competitive with the global fit! PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 55. 55 CMS 8 TeV W rapidity ! Useful for quark flavour separation ! xFitter analysis has demonstrated usefulness for PDF constraints ! This measurement was already in good agreement with NNPDF3.0 Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 56. 56 CMS 8 TeV W rapidity ! Good agreement data / theory, similar to that in NNPDF3.0, with 𝛘2/Ndat = 1.0 at NNLO! Note reduction of PDF uncertainties in the cross-section predictions from all the new electroweak production data included PRELIMINARY Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 57. 57 Juan Rojo PDF4LHC WG Meeting, 07/03/2017 Good agreement with experimental data, as was the case in NNPDF3.0 Looking forward to the 13 TeV data! Inclusive jets in NNPDF3.1 PRELIMINARY PRELIMINARY
  • 58. 58 Jets at NNLO J. Currie, Krakow 01/17 ! If the jet pT is used as central scale, NNLO/NLO K-factors only a few percent! NNLO/NLO shift within NLO scale uncertainties! This trend holds for all rapidity regions Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 59. 59 Higgs production ! in gluon fusion Gluinos, KK gravitons,! boosted top-quarks…. charm,bottom! soft QCD, MC tuning,! High-energy astroparticles One glue to bind them all Exploit PDF-sensitive LHC measurements to constrain the gluon at small-x! Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 60. 60 The prompt flux at neutrino telescopes Observation of Ultra-High Energy (UHE) neutrino events heralds start of Neutrino Astronomy! New window to the Universe, but interpretation of UHE data requires control over backgrounds How well do we understand ! this prompt flux?! Do we really control charm production in such extreme kinematics? IceCube/KM3NET/… Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 61. 61 The low-x gluon from charm production c c D+ ν+X Lab frame Elab = (2mpECR)1/2 ECR = 100 PeV Elab ≈ 14 TeV Overlap kinematics between charm production in UHE cosmic rays and at the LHC Sensitivity to! small-x gluon Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 62. 62 Strategy: use LHC data to provide state-of-the-art predictions for backgrounds at neutrino telescopes x 6− 10 5− 10 4− 10 3− 10 2− 10 1− 10 ) 2 =4GeV 2 g(x,Q 0 2 4 6 8 10 12 14 16 =0.118sαNNPDF3.0 NLO data +- ,D 0 no LHCb D data (wgt) +- ,D 0 with LHCb D data (unw) +- ,D 0 with LHCb D =0.118sαNNPDF3.0 NLO x 6− 10 5− 10 4− 10 3− 10 2− 10 1− 10 PercentagePDFuncertainty 0 20 40 60 80 100 120 140 160 180 200 =0.118sα), NNPDF3.0 NLO,2 g(x,Q data +- ,D 0 no LHCb D data +- ,D 0 with LHCb D =0.118sα), NNPDF3.0 NLO,2 g(x,Q Figure 11: Left plot: The NNPDF3.0 small-x gluon, evaluated at Q = 2 GeV, comparing the baseline global fit result with with the new gluon obtained after the inclusion in the fit of the LHCb charm production data. In the latter case, we show both the reweighted results (rwg) and those after the unweighting procedure. Right plot: comparison of the percentage PDF uncertainties for the NNPDF3.0 We predict that detection of the prompt neutrino flux should be within reach Include 7 TeV LHCb forward charm production data in the global fit! Validate perturbative QCD calculations on collider data, and constrain the small-x gluon! Compute optimised predictions for prompt neutrino fluxes at high energies! ! The low-x gluon from charm production Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 63. 63 LHCb charm production from 5 to 13 TeV! Updated analysis based on normalized cross-sections at 5, 7 and 13 TeV and cross-section CoM energy ratios (avoiding double counting)! Good description of all datasets, compatible pull on the small-x gluon except the R13/7 ratio! The N5+N7+N13 combination leads to a reduction of the small-x gluon PDF errors by an order of magnitude!! The most precise D0 data at 5 and 13 TeV cannot be described by NLO QCD and are excluded from the fit: NNLO calculation needed? Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 64. 64 UHE neutrino-nucleus cross-sections Precision studies of extreme QCD with IceCube/KM3NET: the ultimate DIS experiments! ! High-precision QCD predictions of neutrino-nucleus cross-section up to 106 PeV (low-x sea quarks driven by gluon through DGLAP evolution)! Few-percent QCD uncertainties in the UHE cross-sections up to the highest energies: unique opportunity for BSM searches and precision astrophysical studies ν W/Z q(x ⋍10-7,Q⋍MW) Juan Rojo PDF4LHC WG Meeting, 07/03/2017
  • 65. 65 The strangeness content of the proton ! Significant improvement in description of the experimental data in NNPDF3.1 as compared to 3.0 PRELIMINARY NNPDF3.1 Juan Rojo PDF4LHC WG Meeting, 07/03/2017