the spin structure function g 1 and qcd fits to the g 1 world data
DESCRIPTION
The spin structure function g 1 and QCD fits to the g 1 world data. Lara De Nardo TRIUMF/DESY. Outline. Definition of g 1 Review of recent g 1 data HERMES COMPASS CLAS Review of recent fits to g 1 LSS AAC BB COMPASS Some ideas Conclusions. - PowerPoint PPT PresentationTRANSCRIPT
Lara De Nardo PacSpin2007
The spin structure function gThe spin structure function g11 and and QCD fits to the gQCD fits to the g11 world data world data
Lara De NardoLara De NardoTRIUMF/DESYTRIUMF/DESY
Lara De Nardo PacSpin2007
OutlineOutline
Definition of g1
Review of recent g1 dataHERMESCOMPASSCLAS
Review of recent fits to g1
LSSAACBBCOMPASS
Some ideasConclusions
Lara De Nardo PacSpin2007
Inclusive Inclusive DDeep eep IInelastic nelastic SScatteringcattering
L is exact in QED
npNSNSG qCGCCeg ,2
1
npNSqe ,2
2
1 in LO QCD
'
2
E
WL
Lara De Nardo PacSpin2007
Inclusive Inclusive DDeep eep IInelastic nelastic SScatteringcattering
L is exact in QED
npNSNSG qCGCCeg ,2
1
npNSqe ,2
2
1 in LO QCD
'
2
E
WL
Lara De Nardo PacSpin2007
param.kin.fact.measuredparam.
kinematicfactors
Measured Inclusive AsymetriesMeasured Inclusive Asymetries
measured DIS cross section
inclusive asymmetry:
)2,(
22
2)2,(
||2
2
28
4
24
1
21
1)2,(1
Qxgy
QxAQx
unpol
y
Q
yy
Qxg
Measured at HERMES, withPzz=0.83±0.03Azz~0.01 zzd
d
AF
b
2
3
1
1
Lara De Nardo PacSpin2007
gg11 World Data World Data
D
P,D
Lara De Nardo PacSpin2007
HERMES resultsHERMES results0.0041 < x < 0.9
0.18 GeV2 < Q2 < 20 GeV2
Correction for smearing and radiative effects introduces statistical correlationsStatistical uncertainties are diagonal elements of covariance matrixSystematic unc. are dominted by target and beam polarization
Phys.Rev.D75(2007)012007Phys.Rev.D75(2007)012007
Lara De Nardo PacSpin2007
theory
IntegralsIntegralsSaturation in the deuteron integral is assumed
Q2=5 GeV2, NNLO in MS scheme
from hyperon beta decay (a8=0.586±0.031)
theory
ωD=0.05±0.01
from neutron beta decaya3=1.269±0.003
(use only Q2>1GeV2 data)
Use only deuteron data!
Lara De Nardo PacSpin2007
COMPASS resultsCOMPASS results
Phys.Lett.B647(2007)330Phys.Lett.B647(2007)330
At low Q2 only measurements from SMC and COMPASS10 times lower statistical error than SMC
QQ22<1 GeV<1 GeV22
0.0005<x<0.020.0005<x<0.02
2002-2003 data
Lara De Nardo PacSpin2007
COMPASS resultsCOMPASS results
Phys.Rev.D75(2007)012007Phys.Rev.D75(2007)012007
A1 compatible with zero for x<0.05No tendency towards negative values at low x (as in SMC)
2002-03-04 data89M events
0.78GeV0.78GeV2 2 < <Q< <Q22> < 55.3GeV> < 55.3GeV22
0.003<x<0.70.003<x<0.7
aa00= 0.35 = 0.35 ± 0.03(stat) ± 0.05 (syst)± 0.03(stat) ± 0.05 (syst)
at 3GeVat 3GeV22
Lara De Nardo PacSpin2007
Data on gData on g11nn
g1n negative everywhere except at
very high-x
Recent HERMES results indicate that low-Q2 data tends to zero at low-x
does not support earlier conjecture of strong decrease for 0x
pd
D
n ggg 111
2
31
2
Lara De Nardo PacSpin2007
AA11 World Data World Data
21
121 1 A
F
gA
1
1
F
g
Lara De Nardo PacSpin2007
CLASCLAS
Phys.Lett.B641(2006)11
E155fit
400 points for p and 1654 for d! (633 for Q2>1GeV2 and W>2GeV)Clear decrease of asymmetries with decreasing Q2
CLAS fit at Q2=10GeV2
Lara De Nardo PacSpin2007
gg11 QCD fits QCD fitsg1 QCD fits are models for q(x,Q2) obtained by fitting inclusive world data on g1 :
nqnq
nqn n
pppp ,.....,..,,.........,....., 11
1 1
1get
2
2112 )(
data
datafit
data
gg
minimize
Calculate g1fit at the Q2 of all data points: )),((),( 22
1 iii
fit CQxqQxg
DGLAP: iii Pq
Q
q
2 to go from Q20 to Q2
data
),....,(),( 120
inq
iii ppfQxq
Start from model at initial Q2=Q20:
minimize jdatafit
datai
datafit ggjigg ))(,cov()( 11112
(for HERMES data)
, qpNS, qn
NS, Goruv, dv, q, G (need assumption on the sea)
Lara De Nardo PacSpin2007
Evolution of Statistical UncertaintiesEvolution of Statistical Uncertainties
Statistical uncertainties are given by:
Calculable exactly at Q20 since the functional form of q is known at Q2
0.
)cov(),(),(),()( ,2222
jijij i
q ppQxdp
qdQx
dp
qdQx
kdp
d
Gdt
ddt
d
qdt
dNS NSqP 1
GPP 32
GPP 54
The derivatives of the distributions evolve just like the distributions!One has to take into account the fact that e.g. G does not dependon the parameters only at Q2
0!For details on the unc. calculations in Mellin space see BB paper
iiidp
GdP
dp
dP
dp
Gd
dt
d
54
iiidp
GdP
dp
dP
dp
d
dt
d
32
X-space
Lara De Nardo PacSpin2007
COMPASS’06COMPASS’06
x space x space Mellin spaceMellin space
Positivity imposed to s and g (asym. errors)
Q2=3GeV2
A negative g is needed at low-x in order to represent data
Lara De Nardo PacSpin2007
LSS’06LSS’06
4
4
2
22
1
),(),(
QxhQxg HT
exp2
1
21
21
exp
21
21
),(
),(),(
),(
),(
QxF
QxgQxg
QxF
Qxg HTLT
),(),( 20
20 QxxfxAQxfx MRST
iiii
Initial parameterization:
Higher twist terms included in the fit:
Gsduf vv ,,,
New data:Low Q2 CLAS dataCOMPASS data (large Q2)
4
42
2
22
12
1 ),(),(),(Q
MQxh
Q
MQxgQxg TMCpQCDLT
)(),( in
ip xhxh
i=1,…,5: 10 parameters+6 for PDs (=8-2 for sum rules)
E.Leader et al.,Phys.Rev.D75(2007)074027
Lara De Nardo PacSpin2007
LSS06: Impact of CLAS dataLSS06: Impact of CLAS data
Number of data points: 190 823
Plots from D.Stamenov’s talk at DIS07
Low-Q2 data increases precision in the determination of HTPDF accuracy is also improved(it has to be noted that other groups (BB) have not found such a strong signal for HT)
Lara De Nardo PacSpin2007
CLAS12 expectationsCLAS12 expectations
EG1: 0.05 <Q2<3.5GeV2(2001)
EG12: 0.5<Q2<7 GeV2(2012?)
xG
x(u+u) x(d+d)
xs
CLAS12LSS06(with EG1)
LSS05 Q2=2.5GeV2
EG1 improves u, d, s, G
CLAS12 will particularly improve G
12 GeV upgrade
K.Griffionen, DIS07
Lara De Nardo PacSpin2007
LSS06: Impact of COMPASS dataLSS06: Impact of COMPASS data
Number of data points: 823 826
Effect of new data is negligible
Old:Phys.Lett.B612(2005)154
New:Phys.Lett.B647(2007)8(2.5 times larger statistics) Data at large Q2 does not impact HT
Differently from what found by COMPASS, g1
d is almost insensitive to the sign of g, but depends on the HT terms
Lara De Nardo PacSpin2007
LSS06 vs COMPASS06LSS06 vs COMPASS06Same 2 for the three solutions
The solution with G>0 is pushed to zero at low-x, in order to explain g1d data almost zero
(it would make g1d more negative)
Differences between the two fits interpreted as due to HT terms missing in COMPASS06
LSS’06
G<0
G>0
G<0
G>0
Lara De Nardo PacSpin2007
Impact of HERMES dataImpact of HERMES data
G=0.320.32±±0.47 0.47 0.22 0.22 ±±0.39 (stat)0.39 (stat).
The effect on the other parton distributions is much less visible
∆∆ =0.22 =0.22 ± ± 0.11 0.11 ± ± 0.05(exp) 0.05(exp) ± ± 0.06(theo)0.06(theo)
(test done with BB code,Nucl.Phys.B636(2002)225)
Thanks to H.Böttcher
Without HERMES g1d
With HERMES g1d
Lara De Nardo PacSpin2007
AAC06AAC06
M.Hirai et al., Phys.Rev.D74(2006)014015
Fit A: DIS A1 + PHENIX dataFit B: DIS A1
0LLA
Positivity imposed11 free parametersError bands with
NPAR 2qsdu
),()]([),( 20
9820 QxfxxkxQxf GRV
iiiiii
Gqduf vv ,,,
Hermes data is described better (red) when G is included in g1 G should be positive in the region 0.033<x<0.065Remaining discrepancies described by LSS with HT:
dzzCz
xG
z
xg G
G
)(1
Lara De Nardo PacSpin2007
AAC06AAC06
Resulting distributions compared to previous analyses
Lara De Nardo PacSpin2007
AAC-low-xAAC-low-x0LLA is dominated by gg scattering at small pT
It depends on no sign dependence!
2
g
g
Fit 3: allow for negative g in the low-x region
To explain the negative at pT=2.38GeV a negative gluon is needed for 0.06<x<0.2 No change is observed in the quark distributionsThe negative g does not reside in the Fit-1 error band!
The uncertainties depend on the error band!!Error due to functional form not included in uncertainties
0LLA
Lara De Nardo PacSpin2007
Comparisons with existing Comparisons with existing G measurementsG measurements
AAC06 LSS06
The precision of the data is not yet able to discriminate among various functions
New HERMES analysis that supercedes the old one will be presented by N.Bianchi
COMPASS06
Lara De Nardo PacSpin2007
(Not so) Random (Not so) Random issuesissues
on QCD fits on QCD fits
Lara De Nardo PacSpin2007
Results Stability Results Stability Up to three minima have recently been seen with similar values of 2.
Test the stability and accuracy of the methods using MonteCarlo pseudo-data generated from a chosen set of polarised parton distributions compare then with the fit results.
LSS’06
Lara De Nardo PacSpin2007
Statistical UncertaintiesStatistical UncertaintiesAt least two groups (BB and AAC) report statistical uncertainties inflated by They cannot be directly compared to those of other groups.
NPAR
(These inflated uncertainties do not correspond to what is normally understood as statistical uncertainty, obtained as the standard deviation of the distribution of results derived by fitting a large number of MC data sets resembling the experimental data sets, but with each data point fluctuating independently according to the experimental statistical uncertainty)
2
pi
pj
22=1 defines the 1 uncertainty for single parameters
2~NPAR is the 1 uncertainty for the NPAR parameters to be simultaneously located inside the hypercontour(normally used for unknown systematics, see CTEQ, MRST….)
NPAR=number of parameters
Lara De Nardo PacSpin2007
Normalization UncertaintiesNormalization UncertaintiesSome groups attempt to account for the (substantial) syst. unc. common to an entire data set for one experiment by adding it incoherently in quadrature to the uncertainty in each data point.It can be accounted for correctly with a 2 penalty term, see BB:
Norm. unc. quoted by expt.
Fitted normalization
02
iN
2,11
2
,1
21
2
,1,1,1,1
/1
/
datak
n
j
theorj
i
n
k
datak
datak
theork
theork
i
ggN
ggggN
data
data
The normalizations can also be calculated analytically at each step, without increasing the number of parameters in the fit:
exp
1 12
,1
2
,1,1
2
22 1n
i
n
jdataji
theorj
dataji
i
i
data
gN
ggN
N
N
One can get even more fancy and consider the experimental systematic uncertainties:
Si can also be calculated analytically at each step
dataksysi
datak
datak gSgg ,1,1,1
Lara De Nardo PacSpin2007
Symmetric Sea Symmetric Sea Assumption: new results Assumption: new results
from COMPASSfrom COMPASS
The estimated v is 2.5stat away from the symmetric sea scenario
HERMES, Q2=2.5GeV2
Lara De Nardo PacSpin2007
The new g1 data from HERMES, COMPASS and CLAS provide new insights into the polarised quark distributions.
At the moment still other data (like for AAC or semi-inclusive asymmetries for De Florian et al.) has to come in aid of QCD fits in order to pin down the gluon distribution
For more precise data on G from scaling violations of g1, proposed e-p colliders e-LIC and eRHIC
The latest QCD fits look at various aspects of q (AAC:gluon, LSS:HT…)It would be nice to have one comprehensive analysis with all these features:
HT calculationStatistical error band calculation
explicitely state which 2 choice was made and possibly provide results with the two choices
Propagation of systematic uncertaintiesFit NS to test the Bjorken Sum Rule
Fit s
……
And last by not the least, I’d like to thank all the people that knowingly or not provided me with their plots!
ConclusionsConclusions
0LLA
Lara De Nardo PacSpin2007
ss
J.Blümlein et al.,Nucl.Phys.B774(2007)182
QCD fits are a powerful way to extract s(M2Z ).
While a variety of results exist in unpolarised DIS (up to N3LO), only sparse information is available from fits to g1 data, with large errors