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Page 1: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsParton Distribution Fun tionsand their appli ationsPavel Nadolsky (slides)Southern Methodist University (Dallas, TX, USA)C.-P. Yuan (presentation)Mi higan State University (E. Lansing, MI, USA)Le ture 1July 2014Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 1

Page 2: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsObje tives of these le tures� introdu e the basi methods for determination of PDFs fromhadroni s attering data� onvey the ri hness of ideas en ountered in the PDF analysis � ontributed by diverse bran hes of theory, experiment, andmathemati s� dis uss how our knowledge of PDFs a�e ts pra ti al appli ationsSele tion of the topi s is far from omplete � omplementary material an be found in ex ellent le tures on PDFs by A. Cooper-Sarkar, W.Giele, J. Owens, A. Martin, W. Melnit houk, D. Stump, A. A ardi atre ent CTEQ s hoolsNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 2

Page 3: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsKey ideas

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 3

Page 4: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsParton distribution fun tions fa/p(x, Q)...... arise as nonperturbative fun tions in QCD fa torization... des ribe probabilities for �nding partons inside parent hadrons... are universal � independent of the hard-s attering pro ess... annot be omputed systemati ally... obey perturbative evolution (DGLAP) equations... are determined from hadroni experimentsNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 4

Page 5: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsParton distribution fun tions fa/p(x, Q)...We will fo us on fa/p(x,Q), unpolarized PDFs in the proton (forunpolarized pro esses at the LHC, et .) Mu h of our dis ussion willapply to polarized PDFs and PDFs in the nu leus.

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 4

Page 6: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsBasi de�nitions� Partons are weakly bound onstituents of hadrons withsmall typi al size

(r ≪ rnucleon ≈ 1 fm)(Feynman; Bjorken, Pas hos - 1969)◮ assumed to be pointlike atpresent

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 5

Page 7: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsBasi de�nitions� Partons are most easilydete ted in in lusive hadroni s attering A+B → C +X atlarge ollision energy√

s≫ 1 GeV, with typi alenergy transfer Q of order √s� Su h s attering is dominatedby rare independent ollisionsa+ b→ 1 + 2 + ...+ n of aparton a from A on a parton bfrom B, pro eeding throughperturbative QCD andele troweak intera tions

s

Q

X

CA

B

3

a

b

1

2

n

A

B

C

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 5

Page 8: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsBasi de�nitions� In the simplest (leading-order)interpretation, the PDFfa/p(x,Q) is a probability for�nding a parton a with4-momentum xpα in a protonwith 4-momentum pα

� fa/p(x,Q) depends onnonperturbative QCDintera tions pα

Q

xpα

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 5

Page 9: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsQCD fa torization in DIS

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 6

Page 10: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsQCD fa torization in the Drell-Yan pro ess

Drell-Yan pro ess pp→ (Z0 → ℓℓ)X at the LHC (ℓℓ = ee or µµ)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 7

Page 11: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsQCD fa torization in the Drell-Yan pro ess

q

p

p

q

Z0µ

µ

+...

pp→ (Z0 → µµ)X: Feynman diagram at the leading order in QCDNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 8

Page 12: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsPDFs and QCD fa torizationq

p

p

q

Z0µ

µ

+...

A ording to QCD fa torization theorems, typi al rossse tions (e.g., for p(k1)p(k2) →[Z(q) → ℓ(k3)ℓ(k4)

]X)take the form

σpp→ℓℓX =∑

a,b=q,q,g

∫ 1

0

dξ1

∫ 1

0

dξ2 σab→Z→ℓℓ

(x1

ξ1,x2

ξ2;Q

µ

)fa/p(ξ1, µ)fb/p(ξ2, µ)

+ O(Λ2

QCD/Q2)

� σab→Z→ℓℓ is the hard-s attering ross se tion� fa/p(ξ, µ) are the PDFs� Q2 = (k3 + k4)

2, x1,2 = (Q/√s) e±yV � measurable quantities

� ξ1, ξ2 are partoni momentum fra tions (integrated over)� µ is a fa torization s ale (=renormalization s ale from now on)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 9

Page 13: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsPDFs and QCD fa torizationq

p

p

q

Z0µ

µ

+...

A ording to QCD fa torization theorems, typi al rossse tions (e.g., for p(k1)p(k2) →[Z(q) → ℓ(k3)ℓ(k4)

]X)take the form

σpp→ℓℓX =∑

a,b=q,q,g

∫ 1

0

dξ1

∫ 1

0

dξ2 σab→Z→ℓℓ

(x1

ξ1,x2

ξ2;Q

µ

)fa/p(ξ1, µ)fb/p(ξ2, µ)

+ O(Λ2

QCD/Q2)

� µ is naturally set to be of order Q� Fa torization holds up to terms of order Λ2

QCD/Q2

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 9

Page 14: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsPDFs and QCD fa torizationq

p

p

q

Z0µ

µ

+...

A ording to QCD fa torization theorems, typi al rossse tions (e.g., for p(k1)p(k2) →[Z(q) → ℓ(k3)ℓ(k4)

]X)take the form

σpp→ℓℓX =∑

a,b=q,q,g

∫ 1

0

dξ1

∫ 1

0

dξ2 σab→Z→ℓℓ

(x1

ξ1,x2

ξ2;Q

µ

)fa/p(ξ1, µ)fb/p(ξ2, µ)

+ O(Λ2

QCD/Q2)Purpose of this arrangement:

� Subtra t large ollinear logarithms αns lnk(Q2/m2

q) from σ

� Resum them in fa/p(ξ, µ) to all orders of αsNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 9

Page 15: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsOperator de�nitions for PDFsTo all orders in αs, PDFs are de�ned as matrix elements of ertain orrelator fun tions:fq/p(x, µ) =

∫ ∞

−∞

dy−

4πeiy−p+〈p

∣∣∣ψq(0, y−,~0T )F (y−, 0)γ+ψq(0, 0,~0T )

∣∣∣ p〉, et .Several types of de�nitions, or fa torization s hemes (MS, DIS, et .),existThey all orrespond to the probability density for �nding a in p at LO;they di�er at NLO and beyondTo prove fa torization, one must show that fa/p(x, µ) orre tly aptureshigher-order ontributions for the onsidered observableThis ondition an be violated for multi-s ale observables(e.g., DIS or Drell-Yan pro ess at x ∼ Q/√s≪ 1)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 10

Page 16: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsOperator de�nitions for PDFsTo all orders in αs, PDFs are de�ned as matrix elements of ertain orrelator fun tions:fq/p(x, µ) =

∫ ∞

−∞

dy−

4πeiy−p+〈p

∣∣∣ψq(0, y−,~0T )F (y−, 0)γ+ψq(0, 0,~0T )

∣∣∣ p〉, et .The exa t form of fa/p is not known; but its µ dependen e is des ribedby Dokshitzer-Gribov-Lipatov-Altarelli-Parisi (DGLAP) equations:µdfi/p(x, µ)

dµ=

j=g,u,u,d,d,....

∫ 1

x

dy

yPi/j

(x

y, αs(µ)

)fj/p(y, µ)

Pi/j are probabilities for j → ik ollinear splittings;are known to order α3s (NNLO):

Pi/j (x, αs) = αsP(1)i/j

(x) + α2sP

(2)i/j

(x) + α3sP

(3)i/j

(x) + ...Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 10

Page 17: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExample of DGLAP evolution Compare µ dependen e of uquark PDF and the gluonPDFThe u, d PDFs have a hara teristi bump atx ∼ 1/3 � reminis ent ofearly valen e quark modelsof the proton stru tureThe PDFs rise rapidly atx < 0.1 as a onsequen e ofperturbative evolutionDurham PDF plotter, http://durpdg.dur.a .uk/hepdata/pdf3.htmlNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 11

Page 18: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExample of DGLAP evolutionAs Q in reases, it be omesmore likely that a high-xparton loses somemomentum through QCDradiation⇒ u(x,Q) redu es atx & 0.1, in reases at x . 0.1

Durham PDF plotter, http://durpdg.dur.a .uk/hepdata/pdf3.htmlNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 11

Page 19: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExample of DGLAP evolutionAs Q in reases, it be omesmore likely that a high-xparton loses somemomentum through QCDradiation⇒ u(x,Q) redu es atx & 0.1, in reases at x . 0.1

Durham PDF plotter, http://durpdg.dur.a .uk/hepdata/pdf3.htmlNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 11

Page 20: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExample of DGLAP evolutionAs Q in reases, it be omesmore likely that a high-xparton loses somemomentum through QCDradiation⇒ u(x,Q) redu es atx & 0.1, in reases at x . 0.1

Durham PDF plotter, http://durpdg.dur.a .uk/hepdata/pdf3.htmlNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 11

Page 21: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExample of DGLAP evolutionAs Q in reases, it be omesmore likely that a high-xparton loses somemomentum through QCDradiation⇒ u(x,Q) redu es atx & 0.1, in reases at x . 0.1

Durham PDF plotter, http://durpdg.dur.a .uk/hepdata/pdf3.htmlNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 11

Page 22: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExample of DGLAP evolution: u and gluon PDFg(x,Q) an be ome negativeat x < 10−2, Q < 2 GeVmay lead to unphysi alpredi tionsThis is an indi ation thatDGLAP fa torizationexperien es di� ulties atsu h small x and QLarge lnk(1/x) in Pi/j(x)break PQCD expansion atx ∼ Q/

√s≪ 1Linear s aleNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 12

Page 23: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExample of DGLAP evolution: u and gluon PDFg(x,Q) an be ome negativeat x < 10−2, Q < 2 GeVmay lead to unphysi alpredi tionsThis is an indi ation thatDGLAP fa torizationexperien es di� ulties atsu h small x and QLarge lnk(1/x) in Pi/j(x)break PQCD expansion atx ∼ Q/

√s≪ 1Logarithmi s aleNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 12

Page 24: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExample of DGLAP evolution: u and gluon PDFAs Q in reases, g(x,Q)grows rapidly at small xαs(Q) be omes small enoughto suppress lnk(1/x) termssmall-x behavior stabilizes

Logarithmi s aleNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 12

Page 25: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExample of DGLAP evolution: u and gluon PDFAs Q in reases, g(x,Q)grows rapidly at small xαs(Q) be omes small enoughto suppress lnk(1/x) termssmall-x behavior stabilizes

Logarithmi s aleNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 12

Page 26: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExample of DGLAP evolution: u and gluon PDFAs Q in reases, g(x,Q)grows rapidly at small xαs(Q) be omes small enoughto suppress lnk(1/x) termssmall-x behavior stabilizes

Logarithmi s aleNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 12

Page 27: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsUniversality of PDFsTo all orders in αs, PDFs are de�ned as matrix elements of ertain orrelator fun tions:fq/p(x, µ) =

∫ ∞

−∞

dy−

4πeiy−p+〈p

∣∣∣ψq(0, y−,~0T )F (y−, 0)γ+ψq(0, 0,~0T )

∣∣∣ p〉, et .PDFs are universal � depend only on the type of the hadron (p) andparton (q, q, g)... an be parametrized asfi/p(x,Q0) = a0x

a1(1 − x)a2F (a3, a4, ...) at Q0 ∼ 1 GeV... predi ted by solving DGLAP equations at µ > Q0Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 13

Page 28: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsWhere do the PDFs ome from?

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 14

Page 29: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsCT10 NNLO PDFs10-4 0.001 0.01 0.1 1

0.0

0.2

0.4

0.6

0.8

1.0u-vald-val0.1 g0.1 sea

Q = 2 GeV

10-4 0.001 0.01 0.1 10.0

0.2

0.4

0.6

0.8

1.0u-vald-val0.1 g0.1 sea

Q = 3.16 GeV

10-4 0.001 0.01 0.1 10.0

0.2

0.4

0.6

0.8

1.0u-vald-val0.1 g0.1 sea

Q = 8 GeV

10-4 0.001 0.01 0.1 10.0

0.2

0.4

0.6

0.8

1.0u-vald-val0.1 g0.1 sea

Q = 85 GeV

x f Hx , Q L ve rsus x

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 15

Page 30: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical
Page 31: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsThe �ow of the PDF analysisPDFs are not measureddire tly, but some datasets are sensitive tospe i� ombinations ofPDFs. By onstrainingthese ombinations, thePDFs an bedisentangled in a ombined (global) �t.

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 17

Page 32: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsThe �ow of the PDF analysis Data sets and χ2/d.o.f.in CT10 NNLO andCT10W NLO analyses

CT10 NNLO �t involves 28 experiments, 2640 data points,25 PDF parameters, 100+ orrelated systemati parametersNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 17

Page 33: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsThe �ow of the PDF analysisWe are interested notjust in one best �t, butalso in the un ertainty ofthe resulting PDFparametrizations andtheoreti al predi tionsbased on them. This willbe overed in Le ture 2

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 17

Page 34: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsx,Q overage ofvarious experiments Experiments in luded in theNNPDF2.3 PDF analysis

x-610 -510 -410 -310 -210 -110 1

]2

[ G

eV2 T

/ p

2 /

M2

Q

1

10

210

310

410

510

610

710NMCPD

NMC

SLAC

BCDMS

HERA1AV

CHORUS

FLH108

NTVDMN

ZEUSH2

ZEUSF2C

H1F2C

DYE886

DYE605

CDFWASY

CDFZRAP

D0ZRAP

ATLASWZRAP

D0R2CON

CDFR2KT

ATLASR04JETS

CMSWEASY

LHCBW

NNPDF2.3 Dataset

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 18

Page 35: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsWhi h SM parti les an have a non-zero PDF inthe proton?Should we introdu e fa/p(x,Q) for any of the following parti les?1. light partons u, d, s, g2. heavy quarks c, b, t3. photon γ; leptons e, µ, τ, ν4. massive ele troweak bosons W and ZNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 19

Page 36: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsWhi h SM parti les an have a non-zero PDF inthe proton?Should we introdu e fa/p(x,Q) for any of the following parti les?1. light partons u, d, s, g2. heavy quarks c, b, t3. photon γ; leptons e, µ, τ, ν4. massive ele troweak bosons W and ZAnswerAll of them � the PDF an be de�ned for any parti leHowever, only partons with mass . 1 GeV are expe ted to have anon-negligible fa/p(x,Q0) at the initial s ale Q0 ≈ 1 GeVNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 19

Page 37: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsBoundary onditions at Q0In pra ti e, independent parametrizations fa/p(x,Q0) are introdu ed for� g, u, d, s, u, d, s (always) ontribute > 97% of the proton's energy Ep at Q0

◮ even in this ase, the data are usually insu� ient for onstraining allPDF parameters; some of them an be �xed by hand◮ e.g., u = d = s in outdated �ts

� c and or b (o asionally; in a model allowing nonperturbative�intrinsi heavy-quark produ tion�)� photons γ (in MRST'03 QCD+QED PDFs, in the up oming sets byall groups)

◮ a QCD+QED �t is more ompli ated than one might think: it musta ount for violation of harge symmetry by EM e�e ts,up(x,Q) 6= dn(x,Q); dp(x,Q) 6= un(x,Q)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 20

Page 38: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsPDFs for heavy �avors� PDFs for heavy partons h an be generated via DGLAP evolution atQ ≥ m, using a boundary ondition fh/p(x,Q) = 0 at Q ≤ m

� In pra ti e:◮ perturbative PDFs are usually introdu ed for c and b quarks◮ QCD oupling αs(Q) and PDFs are evaluated with 5 a tive �avorsat all Q ≥ mb

◮ Logarithmi enhan ements may exist in ollinear t, W, Z produ tionat Q & 1 TeV; PDFs for t, W , Z �partons� may be introdu ed atsu h QNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 21

Page 39: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExperimental observables onstraining the PDFs in global �ts

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 22

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Page 41: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical
Page 42: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsSele tion of experimental data for PDF �ts (2014)� In lusive deep-inelasti s attering

◮ At HERA:neutral- urrent e±p→ e±X ; harged- urrent ep→ νX

♦ the largest data set in the �t◮ Fixed-target experiments

♦ eN, µN, νN s atteringNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 25

Page 43: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsSele tion of experimental data for PDF �ts (2014)� In lusive deep-inelasti s attering

◮ At HERA:neutral- urrent e±p→ e±X ; harged- urrent ep→ νX

♦ the largest data set in the �t◮ Fixed-target experiments

♦ eN, µN, νN s atteringNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 25

Page 44: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsNeutral- urrent ep DIS: kinemati s� s = (pe + pp)

2 �total energy� Q2 = −q2 = −(pe − p′e)

2� momentumtransfer� x = Q2/(2pp · q) � Bjorken s aling variable� y = Q2/(xs) � inelasti ity� W 2 = Q2(1 − x)/x � energy of the hadroni �nal state

d2σ(e±p)

dQ2dx=

2πα2

Q4xY+

(F2 −

y2

Y+FL ± Y−

Y+xF3

),with Y± ≡ 1 ± (1 − y)2The data is �tted either in the form of F2(x,Q

2) or d2σ/(dQ2dx)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 26

Page 45: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsCombined data from HERA DIS experiments41 data sets on NC and CC DIS from H1 and ZEUS are ombined into 1 set.2927 data points are ombined into 1307 data points. 165 orrelatedsystemati errors are reanalyzed and alibrated.

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 27

Page 46: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsPDF ombinations in DIS at the lowest order� Neutral urrent ℓ±p:

F ℓ±p2 (x,Q2) =

4

9(u+ u+ c+ c) +

1

9

(d+ d+ s+ s+ b+ b

)

◮ PDFs are weighted by the fra tional EM quark ouplinge2i = 4/9 or 1/9

◮ 4 times more sensitivity to u and c than to d, s, and b◮ No sensitivity to the gluon at this order

� Neutral urrent (ℓ±N) DIS on isos alar nu lei (N = (p + n)/2):F ℓ±N

2 (x,Q2) =5

9

(u+ u+ d+ d+ smaller s, c, b ontributions)

� Charged urrent (νN) DIS :F νN

2 (x,Q2) = x∑

i=u,d,s...

(qi + qi)

xF νN3 (x,Q2) = x

i=u,d,s

(qi − qi)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 28

Page 47: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsDIS at next-to-leading order (NLO) and beyondLogarithmi orre tions to Bjorken s aling (Q dependen e of F2(x,Q2))are sensitive to the gluon PDF through DGLAP equations,

µdfi/p(x, µ)

dµ=

j=g,u,u,d,d,....

∫ 1

x

dy

yPi/j

(x

y, αs(µ)

)fj/p(y, µ)Thus, when examined at NLO, the DIS data onstrains

�∑

i e2i (qi + qi) in an amazingly large range 10−5 < x < 0.5

� u and d at 10−2 < x < 0.3

� g(x,Q) at x < 0.1DIS annot fully separate quarks from antiquarks, or s, c, b ontributionsfrom u and d ontributions; more so be ause of systemati e�e ts in�xed-target DIS experiments (higher-order terms, nu lear orre tions,...)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 29

Page 48: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsSele tion of experimental data for PDF �ts (2014)The modern PDF �ts in ludeIn lusive deep-inelasti s attering...

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 30

Page 49: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsSele tion of experimental data for PDF �ts (2014)The modern PDF �ts in ludeIn lusive deep-inelasti s attering...+ Semi-in lusive DIS:� harm produ tion ep → ecX (HERA)� µµ produ tion νN → µ(c→ µ)X(NuTeV, not shown)Hard ross se tions are known at NNLO (two QCD loops) for in lusiveDIS and ep→ ecX; partly at NNLO for νN → µµXNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 30

Page 50: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsSele tion of experimental data for PDF �ts (2014)The modern PDF �ts in ludeIn lusive deep-inelasti s attering...+ Semi-in lusive DIS:� harm produ tion ep → ecX (HERA)� µµ produ tion νN → µ(c→ µ)X(NuTeV, not shown)+ Lepton pair produ tion pN γ∗,W,Z−→ ℓℓ′X(Tevatron, �xed-target experiments)

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 30

Page 51: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsSele tion of experimental data for PDF �ts (2014)The modern PDF �ts in ludeIn lusive deep-inelasti s attering...+ Semi-in lusive DIS:� harm produ tion ep → ecX (HERA)� µµ produ tion νN → µ(c→ µ)X(NuTeV, not shown)+ Lepton pair produ tion pN γ∗,W,Z−→ ℓℓ′X(Tevatron, �xed-target experiments)+ In lusive jet produ tion: pp → jX(Tevatron), ep→ j(j)X (HERA)Hard ross se tions are known at NNLO (two loops) for lepton pair pro-du tion, partial NNLO for jet produ tionNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 30

Page 52: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsSele tion of experimental data for PDF �ts (2014)LHC revolutionizes the PDF analysis

� Multiple data sets from γ∗,W,Z, jet,Wc, tt,photon,... produ tion at highluminosity

� to be in luded in the PDF �ts verysoon� �ts to � ollider-only� data willbe ome ompetitiveNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 30

Page 53: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsZooming in on quark sea PDFsVarious QCD e�e ts produ e non-trivial sea PDFs� breaking of SU(2) symmetry(d(x) 6= u(x)) and hargesymmetry (q(x) 6= q(x))� non-trivial shape of seaPDFs, f. the �gure1% a ura y an distinguishbetween these e�e ts.Unpolarized integrated PDFs must be known to ∼1% to determinepolarized and TMD PDFs, fragmentation fun tions, and for LHC physi sNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 31

Page 54: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsConstraints on quark sea from pN → ℓ+ℓ−X(N = p, d, Fe, Cu, ..)dσpp

dQ2dy∼ (2

3)2 [uAuB + uAuB ] + (−13 )2

[dAdB + dAdB

]+ smaller terms

⇒ sensitivity to q(x,Q)Assuming harge symmetry between protons and neutrons(up = dn, un = dp):dσpn

dQ2dy ∼ (23)2

[uAdB + uAdB

]+ (−1

3 )2[dAuB + dAuB

]+ smaller termsIf deuterium binding orre tions are negle ted: qd(x) ≈ qp(x) + qn(x)At xA ≫ xB (large y): q(xA) ∼ 0 and 4u(xA) ≫ d(xA)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 32

Page 55: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsConstraints on quark sea from pN → ℓ+ℓ−X(N = p, d, Fe, Cu, ..)dσpp

dQ2dy∼ (2

3)2 [uAuB + uAuB ] + (−13 )2

[dAdB + dAdB

]+ smaller terms

⇒ sensitivity to q(x,Q)Assuming harge symmetry between protons and neutrons(up = dn, un = dp):dσpn

dQ2dy ∼ (23)2

[uAdB + uAdB

]+ (−1

3 )2[dAuB + dAuB

]+ smaller termsIf deuterium binding orre tions are negle ted: qd(x) ≈ qp(x) + qn(x)At xA ≫ xB (large y): q(xA) ∼ 0 and 4u(xA) ≫ d(xA)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 32

Page 56: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsConstraints on quark sea from pN → ℓ+ℓ−X(N = p, d, Fe, Cu, ..)dσpp

dQ2dy∼ (2

3)2 [uAuB + uAuB ] + (−13 )2

[dAdB + dAdB

]+ smaller terms

⇒ sensitivity to q(x,Q)Assuming harge symmetry between protons and neutrons(up = dn, un = dp):dσpn

dQ2dy ∼ (23)2

[uAdB + uAdB

]+ (−1

3 )2[dAuB + dAuB

]+ smaller termsIf deuterium binding orre tions are negle ted: qd(x) ≈ qp(x) + qn(x)At xA ≫ xB (large y): q(xA) ∼ 0 and 4u(xA) ≫ d(xA)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 32

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsConstraints on quark sea from pN → ℓ+ℓ−X(N = p, d, Fe, Cu, ..)At large xA ≫ xB (large y):σpd

2σpp≈ 1

2

(1 + dA4uA

)[1 + r]

(1 + dA4uA

r)≈ 1

2(1 + r), where r ≡ d(xB)/u(xB)

∴ σpd/(2σpp) onstrains d(xB , Q)/u(xB , Q) at moderate xB

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 32

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsExperimental eviden e for SU(2) symmetrybreakingE866 Drell-Yan pair produ tion:d(x) − u(x) 6= 0 at x > 0.1(large di�eren e)LHC W/Z produ tion:d(x) − u(x) 6= 0 at x < 0.1(a few per ent, see next slides)

σpd/(2σpp) at largexF = xA − xB

0.7

0.8

0.9

1

1.1

1.2

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35

CTEQ4M

MRS(R2)

“CTEQ4M (d_ - u

_ = 0)”

x2

σpd/2

σpp

FNAL-E866/NuSea

PRL, 80, 3715 (1998)

CTEQ5M

Theory urves re�e t di�erent assumptions about d/uPDF �ts (e.g., CTEQ5M) quantitatively a ount for the violation ofSU(2) symmetry in the quark seaNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 33

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsCharged lepton asymmetry in AB → (W → eνe)X(A, B = p or p)ye and η ≈ ye are rapidity and pseudorapidity of an ele tronfrom W de ay

Ach(ye) ≡dσW+

dye− dσW−

dye

dσW+

dye+ dσW−

dye

Ach(ye) relates to the boson asymmetry Ach(y) = (dσW+/dy)−(dσW−

/dy)

(dσW+/dy)+−(dσW− /dy),where

(dσW+

/dy)∝ uA(xA,MW )dB(xB ,MW ) + dA(xA,MW )uB(xB,MW ) + ...

(dσW−

/dy)∝ uA(xA,MW )dB(xB ,MW ) + dA(xA,MW )uB(xB ,MW ) + ...Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 34

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsCharged lepton asymmetry in AB → (W → eνe)X(A, B = p or p)ye and η ≈ ye are rapidity and pseudorapidity of an ele tronfrom W de ay

Ach(ye) ≡dσW+

dye− dσW−

dye

dσW+

dye+ dσW−

dye

∴Ach(ye) onstrains PDF ratios at Q ≈MW :� d/u at x→ 1 at the Tevatron 1.96 TeV (pp);� d/u at x > 0.1 and u/d at x ∼ 0.01 at the LHC 7 TeV (pp)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 34

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsImpa t of the D0 Run-2 Ach data on PDFs

η0 0.5 1 1.5 2 2.5 3

)ηA

(

-0.8

-0.6

-0.4

-0.2

0

0.2NNPDF20

CT10

MSTW08

>25GeV)T

D0el(E

R. Ball et al., arXiv:1012.0836

H.-L. Lai et al., arXiv:1007.2241

No D0 Run-2 A(ye) data

With D0 Run-2 A(ye) data

Solid band: CTEQ6.6 uncertaintyHatched band: CT10W uncertainty

10-5 10-4 10-3 0.01 0.02 0.05 0.1 0.2 0.5 0.70.7

0.8

0.9

1.0

1.1

1.2

1.3

x

Rat

ioto

CTE

Q6.

6M

d/u at µ = 85 GeV

� The Ach data from the Tevatron D0 ollaboration distinguish betweenthe PDF models, redu e the PDF un ertaintyNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 35

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsCharge asymmetry at the Tevatron and LHC

|ηElectron Pseudorapidity |0 1 2

Ele

ctro

n C

harg

e A

sym

met

ry

0.05

0.1

0.15

0.2

0.25

CMS = 7 TeVs at -1840 pb

ν e→W

MCFM:

theory bands: 68% CL

CT10 HERAPDF1.5 MSTW2008NLO NNPDF2.2 (NLO)

(e) > 35 GeVT

p

Ach(η) ≡dσW+

dη − dσW−

dσW+

dη + dσW−

CMS Ach(η) data disfavor some d/u parametrizations, motivated anupdate in MSTW'2008 PDFsNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 36

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsd/u and d/u: CT1X NNLO vs. CT10 NNLO andCJ 12 analysis of large-x DIS

10-410-3 0.01 0.02 0.05 0.1 0.2 0.5 0.70.0

0.2

0.4

0.6

0.8

1.0

x

dHx,

QL�

uHx,

QL

PRELIMINARY; Q=10 GeVCT10 NNLO HblueL, CT1X NNLO HredL; CJ12 HgreenL

10-410-3 0.01 0.02 0.05 0.1 0.2 0.5 0.7

0.6

0.8

1.0

1.2

1.4

x

Ratio

toCT

10NN

LO

PRELIMINARY; dHx,QL�uHx,QL; Q=10 GeVCT10 NNLO HblueL, CT1X NNLO HredL; CJ12 HgreenL

10-4 10-3 0.01 0.02 0.05 0.1 0.2 0.5 0.7

0.6

0.8

1.0

1.2

1.4

x

Ratio

toCT

10NN

LO

PRELIMINARY; dbar(x,Q)/ubar(x,Q) at Q= 10 GeVCT10 NNLO HblueL, CT1X NNLO HredL; CJ12 HgreenL

CT1X PDF un ertainty is larger atx→ 0 and 1, is ompatible with thed/u band from the CJ12 analysis(Owens et al., 1212.1702) of large-xDIS for PDFs+nu lear+higher-twist orre tionsNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 37

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsIn lusive jet produ tion, pp(−) → jet+ X

50 100 150 200 250 300 350 400 450 500ET (GeV)

0

0.5

1

Sub

proc

ess

frac

tion

p− p −−> jet +X

√s = 1800 GeV CTEQ6M µ = ET /2 0< |η| <.5

CTEQ6MCTEQ5M

qq

qg

gg

High-ET jets are mostly produ ed inqq s attering; yet most of the PDFun ertainty arises from qg and gg ontributionsHere typi al x is of order2ET /

√s & 0.1;e.g., x ≈ 0.2 for ET = 200 GeV,√

s = 1.8 TeVAt su h x, u(x,Q) and d(x,Q) areknown very well; un ertainty arisesmostly from g(x,Q)Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 38

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsIn lusive jet produ tion in pp → jet +X (7 TeV)� The ross se tions span 12orders of magnitude� (Almost) negligible statisti alerror� Sensitive to g(x,Q) atx & 0.001, f. Le ture 2

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 39

Page 66: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsIn lusive jet produ tion in pp → jet +X (7 TeV)� The ross se tions span 12orders of magnitude� (Almost) negligible statisti alerror� Sensitive to g(x,Q) atx & 0.001, f. Le ture 2

� Systemati un ertainties dominate, both from the experiment (up to90 orrelated sour es of un ertainty) and NLO theoreti al rossse tion (QCD s ale dependen e)� The PDF un ertainty would be strongly underestimated if thesesystemati errors are not in ludedNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 39

Page 67: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsIn lusive jet produ tion in pp → jet +X (7 TeV)� The ross se tions span 12orders of magnitude� (Almost) negligible statisti alerror� Sensitive to g(x,Q) atx & 0.001, f. Le ture 2

� Le ture 2 will dis uss how to in lude the orrelated systemati errors into the PDF analysisNadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 39

Page 68: Objectives - physics.smu.edu › scalise › cteq › schools › summer14 › talks2 › … · Lecture 1, 07/2014 1. Key ideas Exp erimental observables PDF rametrizations pa Statistical

Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsHomework assignmentAn exoti boson Z ′ with mass Q = 2 TeV isprodu ed similarly to SM Z bosons, but only viathe ss→ Z ′ vertex [Z ′ does not intera t withnon-strange (anti-)quarks℄. s

p

p

s

Z ′

Z ′couples only to s,sYou need to ompute σ(pp → Z ′X) at the LHC √s = 13000 GeV, butfor that you need to pre isely know the strange (anti-)quark PDFs,

s(x,Q) and s(x,Q). Propose one or two s attering pro esses to onstrain s(x,Q) and s(x,Q) at the relevant {x,Q}. Spe ify √s andother kinemati parameters of these pro esses. Can you use non-LHCmeasurements to onstrain s(x,Q) at the LHC? Why or why not?Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 40

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsChoi e of PDF parametrization

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 41

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsStatisti al aspe ts

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 42

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Key ideas Experimental observables PDF parametrizations Statisti al aspe ts Pra ti al appli ationsPra ti al appli ations

Nadolsky (SMU)/Yuan (MSU) 2014 CTEQ s hool Le ture 1, 07/2014 43


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