PARTON DISTRIBUTIONS AT THE DAWN OF THE LHC
STEFANO FORTE UNIVERSIT`
A DI MILANO & INFN
CTEQ-MCNET SUMMER SCHOOL LAUTERBAD, JULY 30, 2010
PARTON DISTRIBUTIONS AT THE DAWN OF THE LHC S TEFANO F ORTE U - - PowerPoint PPT Presentation
PARTON DISTRIBUTIONS AT THE DAWN OF THE LHC S TEFANO F ORTE U NIVERSIT ` A DI M ILANO & INFN CTEQ-MC NET SUMMER SCHOOL L AUTERBAD , J ULY 30, 2010 SUMMARY LECTURE II: ISSUES AND RECENT DEVELOPMENTS PDF UNCERTAINTIES { MONTE CARLO VS
CTEQ-MCNET SUMMER SCHOOL LAUTERBAD, JULY 30, 2010
WHAT IS A ONE- UNCERTAINTY?
MSTW/CTEQ: THE SPREAD OF PDFS WITHIN AN ACCEPTABLE TOLERANCE
STANDARDEXPERIMENTS
MINIMUM
VS GLOBAL
WHAT IS A ONE- UNCERTAINTY?
MSTW/CTEQ: THE SPREAD OF PDFS WITHIN AN ACCEPTABLE TOLERANCE CTEQ TOLERANCE CRITERION &
STANDARDEXPERIMENTS
TOLERANCE ) ENVELOPE OF UNCERTAINTIES OF EXPERIMENTSMINIMUM
VS GLOBAL
CTEQ TOLERANCE PLOT FOR 4TH EIGENVEC.
30 20 10 10 20 30 40 distance Eigenvector 4 BCDMSp BCDMSd H1a H1b ZEUS NMCp NMCr CCFR2 CCFR3 E605 CDFw E866 D0jet CDFjet
WHAT IS A ONE- UNCERTAINTY?
MSTW/CTEQ: THE SPREAD OF PDFS WITHIN AN ACCEPTABLE TOLERANCE CTEQ TOLERANCE CRITERION & MSTW DYNAMICAL TOLERANCE
STANDARDEXPERIMENTS
TOLERANCE ) ENVELOPE OF UNCERTAINTIES OF EXPERIMENTS DYNAMICAL ) SEPARATELY DETERMINED FOR EACH HESSIAN EIGENVECTORMINIMUM
VS GLOBAL
CTEQ TOLERANCE PLOT FOR 4TH EIGENVEC.
30 20 10 10 20 30 40 distance Eigenvector 4 BCDMSp BCDMSd H1a H1b ZEUS NMCp NMCr CCFR2 CCFR3 E605 CDFw E866 D0jet CDFjet
MSTW TOLERANCE PLOT FOR 13TH EIGENVEC.
2 p F µ BCDMS 2 d F µ BCDMS 2 p F µ NMC 2 d F µ NMC p µ n/ µ NMC 2 p F µ E665 2 d F µ E665 2 SLAC ep F 2 SLAC ed F L NMC/BCDMS/SLAC F E866/NuSea pp DY E866/NuSea pd/pp DY 2 N F ν NuTeV 2 N F ν CHORUS 3 N xF ν NuTeV 3 N xF ν CHORUS X µ µ → N ν CCFR X µ µ → N ν NuTeV NC r σ H1 ep 97-00 NC r σ ZEUS ep 95-00 CC r σ H1 ep 99-00 CC r σ ZEUS ep 99-00 charm 2 H1/ZEUS ep F H1 ep 99-00 incl. jets ZEUS ep 96-00 incl. jetsglobal 2
χ ∆ Distance =
5 10 15 20
68% C.L. 68% C.L. 90% C.L. 90% C.L.
MSTW 2008 NLO PDF fit
Eigenvector number 13 GLOBAL MSTW TOLERANCE Eigenvector number
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
global 2
χ ∆ Tolerance T =
5 10 15 20
(MRST) 50 + (MRST) 50MSTW 2008 NLO PDF fit
WHAT IS A ONE- UNCERTAINTY?
NNPDF: THE CENTRAL 68% OF THE MC DISTRIBUTION OF PDFS
Example: the gluon distribution in the NNPDF1.0 set1 2 3 4 1e-05 0.0001 0.001 0.01 0.1 1 xg(x,Q0
2)
x
Nrep=25
1 2 3 4 1e-05 0.0001 0.001 0.01 0.1 1 xg(x,Q0
2)
x
Nrep=100
ENSEMBLE OF REPLICAS $ PROBABILITY DISTRIBUTION OF PDFS EXPECTED CENTRAL VALUE $ MEAN; UNCERTAINTY $ STANDARD DEVIATION ANY FEATURES OF DISTRIBUTION CAN BE DETERMINED(C.L. INTERVALS, CORRELATIONS...)
WHY DOES ONE NEED LARGE TOLERANCES? DATA INCOMPATIBILITY
(Pumplin, 2009) CAN “REDIAGONALIZE”:DIAGONALIZE SIMULTANEOUSLY
TOTAL AND
i–TH EXPT ) COMPATIBILITY OF EACH EXPT WITHGLOBAL FIT
STUDY DISTRIBUTION OF DISCREPANCIES APPROX.GAUSSIAN WITH UNCERTAINTIES RESCALED BY
2
)WHY DOES ONE NEED LARGE TOLERANCES? DATA INCOMPATIBILITY
(Pumplin, 2009) CAN “REDIAGONALIZE”:DIAGONALIZE SIMULTANEOUSLY
TOTAL AND
i–TH EXPT ) COMPATIBILITY OF EACH EXPT WITHGLOBAL FIT
STUDY DISTRIBUTION OF DISCREPANCIES APPROX.GAUSSIAN WITH UNCERTAINTIES RESCALED BY
2
)FUNCTIONAL BIAS
(Pumplin, 2009) IF PARM. NOT GENERAL ENOUGH, GLOBAL MIN.IS NOT TRUE MIN.
ONE- VARIATION ABOUT FAKE MIN CORRESP.TO LARGE
“MOST GENERAL” PARM. WITHIN
CTEQ6.6 PARM.
PARAMETRIZATION UNCERTAINTIES?
NONGAUSSIAN BEHAVIOUR?
LOGNORMAL VS. GAUSSIAN
0.5 1 1.5 2 2.5 3
0.5 1 1.5 2 2.5 3
THE HERALHC BENCHMARK
(F eltesse, Glazo v, Rades u + NNPDF 2008) TRY EXPERIMENTAL SYSTEMATICS GIVEN BY EITHER GAUS-SIAN OR LOGNORMAL DISTRIBUTION
REPEAT(BENCHMARK) HERAPDF,
WITH MONTECARLO LOGNORMAL OR GAUSSIAN, IN EITHER CASE DETERMINE UN- CERTAINTY EITHER WITH HESSIAN OR MONTECARLO
Fit vs H1PDF2000, Q2 = 4. GeV2
1 2 3 4 5 6 7 8 9 10 10
10
10
10
1
x xG(x)
GAUSSIAN: HESS. VS MC Fit vs H1PDF2000, Q2 = 4. GeV2 1 2 3 4 5 6 7 8 9 10 10
10
10
10
1
x xG(x)
NO DIFFERENCE BETWEEN LOGNORMAL, GAUSSIAN, MC, HESSIANPARAMETRIZATION UNCERTAINTIES?
NONGAUSSIAN BEHAVIOUR?
LOGNORMAL VS. GAUSSIAN
0.5 1 1.5 2 2.5 3
0.5 1 1.5 2 2.5 3
THE HERALHC BENCHMARK
(F eltesse, Glazo v, Rades u + NNPDF 2008) TRY EXPERIMENTAL SYSTEMATICS GIVEN BY EITHER GAUS-SIAN OR LOGNORMAL DISTRIBUTION
REPEAT(BENCHMARK) HERAPDF,
WITH MONTECARLO LOGNORMAL OR GAUSSIAN, IN EITHER CASE DETERMINE UN- CERTAINTY EITHER WITH HESSIAN OR MONTECARLO
COMPARE TO NNPDF FIT TO SAME DATALOGNORMAL: HESS. VS MC Fit vs H1PDF2000, Q2 = 4. GeV2 1 2 3 4 5 6 7 8 9 10 10
10
10
10
1
x xG(x)
GAUSSIAN: HESS. VS MC Fit vs H1PDF2000, Q2 = 4. GeV2 1 2 3 4 5 6 7 8 9 10 10
10
10
10
1
x xG(x) NNPDF
x
10
10
10
10 1 )
2
= 4 GeV
2
x g (x, Q 2 4 6 8 10
NO DIFFERENCE BETWEEN LOGNORMAL, GAUSSIAN, MC, HESSIAN SIZABLE DIFFERENCE WR TO FLEXIBLE NNPDF PARAMETRIZATIONPARAMETRIZATION UNCERTAINTIES?
EXPLORING THE SPACE OF PARAMETERS: HESSIAN APPROACH
IN HESSIAN APPROACH CAN VARY THE FUNCTIONAL FORM,ASSUMPTIONS, STARTING SCALE
DONEIN THE
HERAPDF1.0
FIT: VARIATION OF STRANGENESS FRACTION, LARGE
x BEHAVIOUR, HIGHERORDER POLYNOMIAL TERMS
NO TOLERANCE ( 2 = 1), UNCERTAINTYDOUBLED
ORTHOGONAL POLYNOMIALS
OLD IDEA (PARISI, SOURLAS, 1978; ZOMER 1996):EXPAND PDFS OVER BASIS OF ORTHOGONAL POLYNOMIALS
GLAZOV, RADESCU, 2009: COUPLED TO MONTE CARLO METHOD LENGTH PENALTY TO STABILIZE THE FIT (Glazo v, Rades u, 2009)PARAMETRIZATION UNCERTAINTIES?
EXPLORING THE SPACE OF PARAMETERS: NNPDF APPROACH
CENTRAL VALUES: VARYING PARTITION VS FIXED PARTITION REPLICAS CENTRAL VALUE FIXED PARTITION
1.32 1.32
1.3 h 2 i rep 2:790.039 0.035
0.03 xed partition resultsGLUE
xVALENCE
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, Q T xVTRIPLET
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, Q 3 xT 0.1 0.2 0.3 0.4 0.5 CTEQ6.6 MRST2001E NNPDF1.2 Current fitSTRANGE
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, Q + xs 0.05 0.1 0.15 0.2 0.25 0.3 CTEQ6.6 MRST2001E NNPDF1.2 Current fitPARAMETRIZATION UNCERTAINTIES?
EXPLORING THE SPACE OF PARAMETERS: NNPDF APPROACH
CENTRAL VALUES: VARYING PARTITION VS FIXED PARTITION REPLICAS CENTRAL VALUE FIXED PARTITION
1.32 1.32
1.3 h 2 i rep 2:790.039 0.035
0.03 xed partition resultsFUNCTIONAL UNCERTAINTY
MORE THAN HALF OF UNCERTAINTY DUE TO “FUNCTIONALFORM”:
h dat i = 0:03SMALLER FOR HERA DATA
REMAINING UNCERTAINTY ROUGHLY SCALES WITH DATA UN-CERTAINTY:
h dat i = 0:005 CENT.; h dat i = 0:009 REP.GLUE
xVALENCE
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, Q T xVTRIPLET
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, Q 3 xT 0.1 0.2 0.3 0.4 0.5 CTEQ6.6 MRST2001E NNPDF1.2 Current fitSTRANGE
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, Q + xs 0.05 0.1 0.15 0.2 0.25 0.3 CTEQ6.6 MRST2001E NNPDF1.2 Current fitDIS VS. HADRONIC DATA
A SENSITIVE TEST: IS THE IMPACT OF A DATASET INDEP. OF THE DATA IT IS ADDED TO? ADDING JET DATA. . .
. . . TO DIS DATA
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 xg (x, Q. . . TO DIS+DY DATA
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 xg (x, QADDING DRELL-YAN DATA. . .
. . . TO DIS DATA
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 (x, Q 3 xT 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 NNPDF2.0 DIS NNPDF2.0 DIS+DY x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 xV (x, Q 0.2 0.4 0.6 0.8 1 1.2 NNPDF2.0 DIS NNPDF2.0 DIS+DY x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 (x, Q S ∆ x. . . TO DIS+JET DATA
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, Q 3 xT 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 NNPDF2.0 DIS+JET NNPDF2.0 x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 xV (x, Q 0.2 0.4 0.6 0.8 1 1.2 NNPDF2.0 DIS+JET NNPDF2.0 x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, Q S ∆ x 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 NNPDF2.0 DIS+JET NNPDF2.0 x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, QDIS VS. HADRONIC DATA
A SENSITIVE TEST: IS THE IMPACT OF A DATASET INDEP. OF THE DATA IT IS ADDED TO? ADDING JET DATA. . .
. . . TO DIS DATA
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 xg (x, Q. . . TO DIS+DY DATA
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 xg (x, QADDING DRELL-YAN DATA. . .
. . . TO DIS DATA
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 (x, Q 3 xT 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 NNPDF2.0 DIS NNPDF2.0 DIS+DY x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 xV (x, Q 0.2 0.4 0.6 0.8 1 1.2 NNPDF2.0 DIS NNPDF2.0 DIS+DY x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ) 2 (x, Q S ∆ x. . . TO DIS+JET DATA
x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, Q 3 xT 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 NNPDF2.0 DIS+JET NNPDF2.0 x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 xV (x, Q 0.2 0.4 0.6 0.8 1 1.2 NNPDF2.0 DIS+JET NNPDF2.0 x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, Q S ∆ x 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 NNPDF2.0 DIS+JET NNPDF2.0 x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ) 2 (x, QFIT QUALITY: DIS DATA AND HADRONIC DATA
NNPDF2.0
0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
for sets
2
χ Distribution of
N M C
d N M C S L A C p S L A C d B C D M S p B C D M S d H E R A 1
C e p H E R A 1
C e m H E R A 1
C e p H E R A 1
C e m C H O R U S n u C H O R U S n b F L H 1 8 N T V n u D M N N T V n b D M N Z 6 N C Z 6 C C D Y E 6 5 D Y E 8 8 6 p D Y E 8 8 6 r C D F W A S Y C D F Z R A P D Z R A P C D F R 2 K T D R 2 C O N
for sets
2
χ Distribution of
NO OBVIOUS MUTUAL TENSION BETWEEN DIS AND HADRONIC DATA CLEAR SIGN OF INTERNAL DATA INCONSISTENCIES(NMC DIS DATA, CDF
Z AND W RAPIDITY DISTRIBUTIONS)HEAVY QUARKS IN DIS
IN MS SCHEME, n f = 6 IN LOOPS,SUBTRACTED AT ZERO MOMENTUM,
n f = n l INMATCHED SCHEMES: ACOT
(Aiv azis, Collins, Olness, T ung, 1988, 1994) m 6= 0, LO harm radiation m = 0, LO harm radiation m = harm p dfγ∗
c c c
X( )
γ∗
c c
X
G
c
X
γ∗
G
WITH FULL MASS DEP. RETAINED
KEEP ALL FLAVOURS INRUNNING, DGLAP
SUBTRACTDOUBLE COUNTING SIMPLIFIED SACOT: EVEN IN MASSIVE CONTRIBUTION, NEGLECT
m q IN FINAL STATEMATCHED SCHEMES: TR
(Thorne, Rob erts, 1998, 2008) SWITCH OFF HQ FOR Q 2 < m 2 q USE MASSLESS APPROX FOR Q 2 > m 2 q ADD MASSIVE TERMS AND ENFORCE CONTINUITY AT THRESHOLD VIA SUBL. TERMSMATCHED SCHEMES: FONLL
(Ca iari, Gre o, Nason, 1998; for DIS s.f., Laenen, Ro jo, Nason, 2010) USE MS (MASSLESS) PARTONS COMPUTE MASSIVE CONTRIBUTIONS IN THE DECOUPLING SCHEME, BUT EXPRESSEVERYTHING IN TERMS OF
MS PARTONS ADD MASSIVE EXPRESSION TO THE MASSLESS ONE, SUBTRACT DOUBLE COUNTING(TRIVIAL, AS EVERYTHING EXPRESSED IN SAME SCHEME)
F (n l ) (x; Q 2 ) = x R 1 x dy y P i=q ;THE PROBLEM OF DAMPING TERMS
IN ANY SCHEME, DGLAP RESUMMATION PRODUCESTERMS
BUT NOT TO HIGHER ORDERS
THESE TERMS ARE COMPLETELY INACCURATE WHEN Q 2 IS JUST ABOVE m 2 q ANDCAN BE NON–NEGLIGIBLE IN PRACTICE
SOLUTION: KILL THESE TERMS WITH A SUITABLE DAMPING PRESCRIPTIONTHE IMPACT ON PHENOMENOLOGY
MANY FITS (CTEQ<6, NNPDF, ALEKHIN<09) TREAT CHARMAS MASSLESS ABOVE THRESHOLD
) “ZMVFN” SCHEME TR/TR’ PROCEDURE IMPLEMENTED SINCE ’98 IN MRSTTHE IMPACT ON PHENOMENOLOGY
MANY FITS (CTEQ<6, NNPDF, ALEKHIN<09) TREAT CHARMAS MASSLESS ABOVE THRESHOLD
) “ZMVFN” SCHEME TR/TR’ PROCEDURE IMPLEMENTED SINCE ’98 IN MRST WHEN CTEQ IMPLEMENTED ACOT IN 2008, SURPRISINGCHANGE CTEQ61 !CTEQ6.5 IN
MRST SPOILED (LATER RESTORED)
0.9 1 1.1 1.2 1.3 W+ W- Z0 W+h0H 120L W-h0H 120L tt
171L ggfi h0H 120L h+H 200L s–dsPDF in units of sH CTEQ66ML LHC,NLO CTEQ6.6 CTEQ6.1 IC-Sea
KNNLO
(Nadolsky et al., 2008) (Ro jo et al., 2010)THE IMPACT ON PHENOMENOLOGY
MANY FITS (CTEQ<6, NNPDF, ALEKHIN<09) TREAT CHARMAS MASSLESS ABOVE THRESHOLD
) “ZMVFN” SCHEME TR/TR’ PROCEDURE IMPLEMENTED SINCE ’98 IN MRST WHEN CTEQ IMPLEMENTED ACOT IN 2008, SURPRISINGCHANGE CTEQ61 !CTEQ6.5 IN
MRST SPOILED (LATER RESTORED)
0.9 1 1.1 1.2 1.3 W+ W- Z0 W+h0H 120L W-h0H 120L tt
171L ggfi h0H 120L h+H 200L s–dsPDF in units of sH CTEQ66ML LHC,NLO CTEQ6.6 CTEQ6.1 IC-Sea
KNNLO
(Nadolsky et al., 2008)RECENT PROGRESS: THE LES HOUCHES 2009 BENCHMARKS
(Ro jo et al., 2010) TR, FONLL AND ACOT FOR DIS BENCHMARKED AT NLOAND NNLO
SUBLEADING
O ( 2 s (m )) Q 2–INDEP. TERM DIFFERENCES BETWEEN DAMPING PRESCRIPTIONS SIZABLETHE PROBLEM OF DAMPING TERMS:
PHENOMENOLOGY
IMPACT OF SUBLEADING TERMS SIZABLE CLOSE TO THRESH-OLD
DIFFERENCE BETWEEN DIFFERENT PRESCRIPTIONS (ACOT- –SCALING,FONLL-DAMPING, MSTW-MATCHING)
AS LARGE AS DIFFERENCE BETWEEN FFN (NO DGLAP RESUM- MATION FOR CHARM) AND ZMVFN (NO CHARM MASS)
THE PROBLEM OF DAMPING TERMS:
PHENOMENOLOGY
IMPACT OF SUBLEADING TERMS SIZABLE CLOSE TO THRESH-OLD
DIFFERENCE BETWEEN DIFFERENT PRESCRIPTIONS (ACOT- –SCALING,FONLL-DAMPING, MSTW-MATCHING)
AS LARGE AS DIFFERENCE BETWEEN FFN (NO DGLAP RESUM- MATION FOR CHARM) AND ZMVFN (NO CHARM MASS)
THE SOLUTION: GO UP ONE ORDER
IF EVERYTHING AT ONE EXTRA ORDER INMINOR
IN FONLL, CAN COMBINE O ( 2 s ) TREATMENT OF HQ WITHSTANDARD NLO
O ( s ) TREATMENT OF LIGHT QUARKS )EXCELLENT APPROX TO FULL RESULT
(s.f., Laenen, Nason, Ro jo 2010) RECENT PROGRESS: O ( 3 ) MASSLESS LIMIT OF HQ PRO-DUCTION COEFF. FCTNS. COMPUTED
(Bieren baum, BlNNLO CORRECTIONS: THE W CHARGE ASYMMETRY
Catani, F errera, Grazzini, 2010 NNLO CORRECTIONS VISIBLY IMPROVE AGREEMENT WITH DATA EFFECT ON MATRIX ELEMENT COMPARABLE TO EFFECT ON PDFS,BUT IN DIFFERENT REGIONS
NNLO NEEDED FOR STANDARD CANDLES!
E-605 (Y=0) 0.05 0.1 0.15 0.2 0.25 0.3 0.2 0.25 0.3 0.35 0.4 M5dσ/d(M)/d(Y)/(1-x1)2.5 (nbGeV4) NNLO (±1σ) NLO 0.1 0.2 0.3 0.4 0.5 0.2 0.25 0.3 0.35 0.4 0.45 x2 x1 Q2=9 GeV2 10
10
10
0.1 0.2 0.3 0.4 0.5 0.6 DIS(±1σ) DIS/DY(±1σ) x x(u
LO+ K–FACTORS
HERAPDF+ALEKHIN-SERIES FITS GENUINELY NNLO, BUT SMALLERDATASET
BUT IMPACT NOT NEGLIGIBLE...PROGRESS
Q: WHY IS NNLO NOT INCLUDED IN PARTON FITS?
PROGRESS
Q: WHY IS NNLO NOT INCLUDED IN PARTON FITS? A: CONVOLUTIONS ARE HARD!
TOWARDS A SOLUTION: GRID–BASED METHODS
ORIGINAL IDEA
EXPANSION OF PDFS ON BASES OF POLYNOMIALS (PASCAUD, ZOMER, 2001
PRECOMPUTECONVOLUTION WITH BASIS FUNCTIONS
EXPAND PDF OVER BASIS CONVOLUTIONS REDUCED TO LINEAR COM-BINATIONS
! MATRIX MULTIPLICATIONTHE GRID IDEA
(CARLI, SALAM, SIEGERT 2005)
REPRESENT PDFS ON INTERPOLATED GRID BASIS FCTNS $ INTERPOLATING FCTNS DO CONVOLUTIONS OVER BASIS FUNCTIONS(IF MONTE CARLO USED, BASIS FCTNS
!WEIGHTS FOR MC INTEGRAL)
GRID CAN BE OPTIMIZED R 1 x 0;1 dx 1 R 1 x 0;2 dx 2 f a (x 1 )f b (x 2 )C ab (x 1 ; x 2 ) ! P N x ; =1 f a (x 1; )f b (x 2; ) R 1 x 0;1 dx 1 R 1 x 0;2 dx 2 I (; ) (x 1 ; x 2 )C ab (x 1 ; x 2 )GRID–BASED METHODS
SOME RECENT NLO IMPLEMENTATIONS:
FASTNLO: FAST INTERFACE FOR JET CROSS SECTIONS (Kluge, Rabb ertz, WGREEN FUNCTIONS, INTERFACED TO FASTNLO FOR JETS AND TO SUITABLE FAST-DY
(NNPDF, 2010) APPLGRID: OPTIMIZED GRID, POTENTIALLY UNIVERSAL INTERFACE, IMPLEMENTEDFOR JETS, W AND Z PRODUCTION
(Carli et al., 2010)FASTKERNEL PERC. ACCURACY
0.5 1 1.5 2 2.5
y
0.00001 10ˉ⁴ 10ˉ³ 10ˉ² 0.1
E605 E886p E886r Wasy Zrap
!"#$%&'(&)*+,-./0
APPLGRID REL. ACCURACY
(GeV)
positron T
p 50 100 150 200 250 300 350 400 450 500
standard
σ /
grid
σ 0.9988 0.999 0.9992 0.9994 0.9996 0.9998 1 1.0002 1.0004 1.0006
= 0
=25, Int.: (5, 5, 0); a = 2; W
bins
N = 0
=25, Int.: (5, 5, 0); a = 3; W
bins
N = 0
=25, Int.: (5, 5, 0); a = 4; W
bins
N = 0
=25, Int.: (5, 5, 0); a = 5; W
bins
N |<0.5
positron
η |
THE HIGGS CROSS SECTION
FIRST PDFS WITH UNCERTAINTIES
Alekhin CTEQ MRST
√s = 14 TeV
σ(gg → H) [pb]
MH [GeV] 1000 100 100 10 1 0.1 1000 100 1.1 1.05 1 0.95 0.9
(Djouadi, F errag, 2004)PDFS WITH ERROR (2002-2003)
CTEQ, MRST (global); Alekhin (DIS) WIDELYDIFFERENT UNCERTAINTY ESTIMATES
UNSATISFACTORYAGREEMENT WITHIN UNCERTAINTIES
CURRENT GLOBAL PDF SETS
gluon luminosities0.9 0.95 1 1.05 1.1 100 150 200 250 300 350 400 450 500 PDF uncertainty - Ratio to MSTW08 MH [GeV] GG luminosity S = (7 TeV)2 MSTW08 NNPDF2.0 CTEQ6.6 0.9 0.95 1 1.05 1.1 100 150 200 250 300 350 400 450 500 PDF uncertainty - Ratio to MSTW08 MH [GeV] GG luminosity S = (14 TeV)2 MSTW08 NNPDF2.0 CTEQ6.6
gg!H ross se tion (Demartin et al., 2010) THREEGLOBAL (DIS+HADRONIC)
PDF SETS AVAILABLE
REASONABLE AGREEMENT OF CEN-TRAL VALUES & UNCERTAINTIES
HERA TO THE LHC COMMUNITY
{ t wHEP-PH/0601012-HEP-PH/0601013
; ARXIV:0903.3861. PDF4LHC (2008 - ONGOING): A PERMANENT WORKING GROUP TO PROVIDEGUIDANCE ON PDF TO LHC EXPERIMENTS AND PHENOMENOLOGY
{ quarterly meetings, 10 sin e in eption in F ebruary 2008 { w ebsite http://www.hep.u l.a .uk/pdf4lh / and wiki https://wiki.teras ale.de/index.php?title=PDF4LHC WIKI resour es a v ailable { fruitful in tera tions with the LHC Higgs Cross Se tion W Gx
10
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2
[ GeV
2 T
/ p
2
/ M
2
Q 1 10
2
10
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NMC-pd NMC SLAC BCDMS HERAI-AV CHORUS FLH108 NTVDMN ZEUS-H2 DYE605 DYE886 CDFWASY CDFZRAP D0ZRAP CDFR2KT D0R2CON
NNPDF2.0 dataset
LHC kinemati s10
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10 10 10
1
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fixed target HERA
x1,2 = (M/14 TeV) exp(±y) Q = M
LHC parton kinematics
M = 10 GeV M = 100 GeV M = 1 TeV M = 10 TeV 6 6 y = 4 2 2 4
Q
2 (GeV 2)
x
CTEQ6.6: GLOBAL, NLO, VFN WITH HQ MASS, SEVERALDATA; ABKM, GJR GLOBAL DIS+ FIXET-TARGET DY; HERAPDF: HERA ONLY
STATISTICAL TREATMENT: CTEQ HESSIAN WITH TOLERANCE; MSTW HESSIANWITH DYNAMICAL TOLERANCE; HERAPDF, ABKM, GJR, STANDARD HESSIAN;
NNPDF MONTE CARLO (ALSO STUDIED BY HERAPDF)
PARTON PARAMETRIZATION:CTEQ, MSTW, HERAPDF xCHEBYSHEV POLYNOMIALS STUDIED BY HERAPDF;
HEAVY QUARKS:CTEQ: GM-VFN (SACOT- SCHEME); MSTW: GM-VFN(ACOT+TR’ SCHEME); NNPDF: ZM-VFN, ORELIM: GM-VFN (FONLL-A
SCHEME); ABKM: FFN (N
f = 3; 4 MATCHED WITH BMSN SCHEME); GJR: FFN( N
f = 3) PERTURBATIVE ORDER:CTEQ: NLO, BUT DY LO WITH K-FACTORS; MSTW:NNLO, BUT DY LO WITH K-FACTORS; NNPDF FULL NLO; ABKM, GJR: FULL NNLO
MSTW: FITTED, BUT ALSO VARIABLE AS EXT.PARAMETER; ABKM, GJR: FITTED,
NOT VARIABLE AS EXT. PARAMETER
THE PDF4LHC RECOMMENDATION
AT NLO, ENVELOPE OF CTEQ, MSTW, NNPDF AT NNLO, MSTW WITH UNCERTAINTY RESCALED MY MSTWNLO/NLO ENVELOPELHC STANDARD CANDLES
W + WPARTON LUMINOSITIES
GLUON-GLUON QUARK-QUARK
THE HIGGS CROSS SECTION
m H = 120 GEV: DIFFERENT GROUPSTHE PDF4LHC RECIPE
0.85 0.9 0.95 1 1.05 1.1 100 150 200 250 300 350 400 450 500 R mH (GeV) LHC 7 TeV normalized to MSTW2008 pdf+αs 68% C.L. different values of αs(mZ) exact pdf+αs uncertainties NNPDF2.0 CTEQ6.6 MSTW2008nlo PDF4LHC recipe
(G. W att, 2010)ENVELOPE TAKES CARE OF POORLY UNDERSTOOD DISAGREEMENTS
THEORETICAL UNCERTAINTIES
IN PROGRESS: DEPENDENCE ON
& b MASS m : MSTW08x
10
10
10
10
Ratio to MSTW 2008 NLO
0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2
2
GeV
4
= 10
2
Charm quark distribution at Q
MSTW 2008 NLO (90% C.L.) = 1.30 GeV
c
m = 1.50 GeV
c
m
x
10
10
10
10
Ratio to MSTW 2008 NLO
0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2
m b: NNPDF, CTEQNEEDED:
ORDERS: RENORMALIZATION AND FACTORIZATION SCALE VARIATION HEAVY QUARKS: MATCHING SCHEME VARIATION RESUMMATION: SMALL x REGION AT HERA, LARGE REGION FORFIXED-TARGET DY
CONCLUSION
THIS IS JUST THE BEGINNING!
PDF DEPENDENCE ON
THE GLUON DISTRIBUTION
Q = 2 GEVMSTW08
0.5 1 1.5 2 1e-05 0.0001 0.001 0.01 0.1 1 g(x)/gbest(x) x MSTW Q0 = 2 GeV pdf unc. αs = 0.120 αs = 0.110 αs = 0.113 αs = 0.116 αs = 0.119 αs = 0.121 αs = 0.123 αs = 0.125 αs = 0.128 αs = 0.130
CTEQ6.6
0.6 0.8 1 1.2 1.4 1.6 1.8 2 1e-05 0.0001 0.001 0.01 0.1 1 g(x)/gbest(x) x CTEQ6.6alphas Q0 = 2 GeV pdf unc. αs = 0.118 αs = 0.116 αs = 0.117 αs = 0.118 αs = 0.119 αs = 0.120
NNPDF1.2
0.5 1 1.5 2 1e-05 0.0001 0.001 0.01 0.1 1 g(x)/gbest(x) x NNPDF1.2 Q0 = 2 GeV pdf unc. αs = 0.119 αs = 0.110 αs = 0.113 αs = 0.116 αs = 0.119 αs = 0.121 αs = 0.123 αs = 0.125 αs = 0.128 αs = 0.130
Q = 100 GEVMSTW08
0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3 1e-05 0.0001 0.001 0.01 0.1 1 g(x)/gbest(x) x MSTW Q0 = 100 GeV pdf unc. αs = 0.120 αs = 0.110 αs = 0.113 αs = 0.116 αs = 0.119 αs = 0.121 αs = 0.123 αs = 0.125 αs = 0.128 αs = 0.130
CTEQ6.6
0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1e-05 0.0001 0.001 0.01 0.1 1 g(x)/gbest(x) x CTEQ6.6alphas Q0 = 100 GeV pdf unc. αs = 0.118 αs = 0.116 αs = 0.117 αs = 0.118 αs = 0.119 αs = 0.120
NNPDF1.2
0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3 1e-05 0.0001 0.001 0.01 0.1 1 g(x)/gbest(x) x NNPDF1.2 Q0 = 100 GeV pdf unc. αs = 0.119 αs = 0.110 αs = 0.113 αs = 0.116 αs = 0.119 αs = 0.121 αs = 0.123 αs = 0.125 αs = 0.128 αs = 0.130
FIT TO REPLICAS VS RANDOM SUBSET OF CENTRAL VAL.S
REPLICAS CENTRAL V.
1.32 1.32
h 2 i rep 2:790.039 0.035
GLUE
repli as . v als.LIGHT QUARKS STRANGE
QUALITY OF FIT &PDFS UNCHANGED REDUCTION OF h 2 i rep BY FACTOROR UNDERLYING INCOMPRESSIBLE UNCERTAINTY
WHAT DETERMINES PDF UNCERTAINTIES?
UNCERTAINTIES IN MSTW/CTEQ FITS OFTEN GO UP WHEN DATA ARE ADDED, BECAUSE OF THE NEED TO ADD PARAMETERS Smaller high-x gluon (and slightly smaller αS) results in larger small-x gluon – now shown at NNLO.
x
10
10
10
10
10 1
Ratio to MSTW 2008 NNLO
0.9 0.92 0.94 0.96 0.98 1 1.02 1.04 1.06 1.08 1.1
2
GeV
4
= 10
2
Gluon at Q
MSTW 2008 NNLO MRST 2006 NNLO
Larger small-x uncertainty due to extrat free parameter.
PDF4LHCMSTW 24
WHAT DETERMINES PDF UNCERTAINTIES?
THE PROBLEM OF BENCHMARK FITS (HERALHC 2005-2008)
PERFORM A MRST (MRSTBENCH) FIT TO A CONSISTENT SUBSET OF DATA, USEWHAT DETERMINES PDF UNCERTAINTIES?
THE PROBLEM OF BENCHMARK FITS (HERALHC 2005-2008)
PERFORM A MRST (MRSTBENCH) FIT TO A CONSISTENT SUBSET OF DATA, USE(MSTW08BENCH)
IMPROVEMENT, BUT PROBLEM NOT SOLVED ) MUST TUNE PARAMETRIZATION AND STATISTICAL TREATMENT TO DATASETx
10
10
10
10
)
2
= 20 GeV
2
(x, Q
v
xu
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
Up valence distribution
MSTW08 bench MRST01 global MSTW08 global
x
10
10
10
10
)
2
= 20 GeV
2
(x, Q
v
xu
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
WHAT DETERMINES PDF UNCERTAINTIES?
THE NNPDF SOLUTION (HERALHC 2008) MRST/MSTW: BENCH VS REF
x
10
10
10
10
)
2
= 20 GeV
2
(x, Q
v
xu
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
Up valence distribution
MSTW08 bench MRST01 global MSTW08 global
x
10
10
10
10
)
2
= 20 GeV
2
(x, Q
v
xu
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
NNPDF: BENCH VS REF
x
10
10
10
10 1
)
2
= 20 GeV
2
(x, Q
V
x u
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
NNPDF_bench_H-L NNPDF1.0
NNPDF BENCH VS MRST/MSTW
BENCH
x
10
10
10
10
)
2
= 20 GeV
2
(x, Q
v
xu
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
Up valence distribution
HERA-LHC bench NNPDF MRST01 MSTW08
x
10
10
10
10
)
2
= 20 GeV
2
(x, Q
v
xu
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
SINGLE PARAMETRIZATION AND STAT. TREATMENT CAN ACCOMMODATE DIFFERENTDATASETS
IMPACT OF DATA CAN BE STUDIED INDEPENDENT OF THEORETICAL FRAMEWORK