report on fitting final new data: e- cc (175pb -1 : p=0.30, 71pb -1, p=-0.27, 104pb -1...
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•Report on fitting FINAL new data:
• e- CC (175pb-1: P=0.30, 71pb-1, P=-0.27, 104pb-1)(DESY-08-177)
• e- NC (169pb-1, P=+0.29, P=-0.27)(DESY-08-202)
•Now add CCe+ (134pb-1: P=0.32, 78pb-1, P=-0.36, 56pb-1)(R Ciesielski)
•Then add NCe+ ( 113pb-1 : P=0.32, 71pb-1, P=-0.36, 42pb-1) (M Wlasenko)
•Improvement to PDF uncertainties
•Electroweak parameter fits: MW , MW/ GF ,MW/ g
•Electroweak NC couplings: au ad vu vd
ZEUS fits-report -High Q2 sessionApril 2009
A.M.Cooper-Sarkar and C. Gwenlan
PDFs from the new fit compared to published
ZEUS-JETS fit – central values of the PDFs do not change much…..
Adding New NC and CCe- data to ZEUS-JETS fit → ZEUS-pol fit
(NEW)
This takes 577 data points up to 828 data points
(NEW)
Dataset 2/ndp ndp
CC-ve poln. 1.33 37
CC+ve poln. 0.96 34
NC-ve poln. 0.99 90
NC+ve poln. 0.96 90
Quadratic 2
Remember we have shown this before with preliminary e- data- this is now final
The xuv PDF uncertainties are reduced at high-x ….. as expected since NC and CC e- cross-sections are both u dominated
However some other uncertainties increase marginally- this can always happen when OFFSETing correlated errors
(NEW)
The d-flavour sector is less well known- NOTE the scale difference-
hence we look forward to CCe+ data
PDFs from the new fit compared to
ZEUS-pol fit – central values of d-valence shift a little…..
Adding New CCe+ data to ZEUS-pol fit
This takes 828 data points up to 893 data points
Dataset 2/ndp ndp
CC e-p P=-. 1.33 37
CC e-p P=+. 0.96 34
NC e-p P=-. 0.99 90
NC e-p P=+. 0.96 90
CC e+p P=-. 1.00 32
CC e+p P=+. 1.75 33
Quadratic 2
Note only statistical errors so far on CCe+p
The xdv PDF uncertainties are reduced at high-x ….. as expected since CC e+ cross-sections are d dominated
Very marginal improvement in high-x Sea as well
The d-flavour sector is improved with the addition of CCe+ data
PDFs from the new fit compared to
All that came before – central values shift very little
Adding New NCe+ data to ZEUS-pol +Cce+p
This takes 893 data points up to 1073 data points
Dataset 2/ndp ndp
CC e-p P=-. 1.33 37
CC e-p P=+. 0.96 34
NC e-p P=-. 0.99 90
NC e-p P=+. 0.96 90
CC e+p P=-. 1.00 32
CC e+p P=+. 1.75 33
NC e+p P=-. 1.53 90
NC e+p P=+. 1.68 90
Quadratic 2
Note only statistical errors so far on CCe+p
And only stat. +uncorreated sys. On NCe+p
The xuv PDF uncertainties are reduced at high-x ….. as expected since NC e+ cross-sections are u dominated
The u-flavour sector is further improved with the addition of NCe+ data
ALL New NC/CC e- and e+ compared to
ZEUS -JETS
Electroweak parameter fitsNow let MW be a free parameter of the fit, together with the PDF parameters
How does MW enter the fit?In the factor GF
2 MW4/(Q2+MW
2)2
77.3 ± 0.7 ± 1.0
78.06 ± 0.66 ± 0.95
ZEUS-jets RTVFN including NEW CC/NC e-data ZEUS-jets RTVFN including NEW CC/NC e-data and NEW CC/NC e+ data
77.6 ± 1.4 ± 2.5
78.9± 2.0 ±1.8+2.2-1.8(PDF)
82.87 ± 1.82(exp) +0.32 0.16(model)
ZEUS HERA-I data done by this method
ZEUS DESY-03-093 fit to dσ/dQ2 data
H1 HERA-I data done by this method
Value of MW (=80.4 SM) Specifications of the fit
Little correlation between EW and QCD sector of fit
Now consider fits to electroweak NC couplings as well as PDF parameters
F20 = Σi Ai
0(Q2) [xqi(x,Q2) + xqi(x,Q2)]
xF30= Σi Bi
0(Q2) [xqi(x,Q2) - xqi(x,Q2)]
Ai0(Q2) = ei
2 – 2 ei vi ve PZ + (ve2+ae
2)(vi2+ai
2) PZ2
Bi0(Q2) = – 2 ei ai ae PZ + 4ai ae vi ve PZ
2
The unpolarised cross-section is given by σ0 = Y+ F20 + Y- xF3
0
The polarised cross-section is given by σP = Y+ F2P + Y- xF3
P
PZ >> PZ2 (γZ interference is dominant)
ve is very small (~0.04).unpolarized xF3 ai,polarized F2 vi
The total cross-section : σ = σ0 + P σP
)(2sin
122
2
2 QM
QP
ZZ
F2P = Σi Ai
P(Q2) [xqi(x,Q2) + xqi(x,Q2)]
xF3P= Σi Bi
P(Q2) [xqi(x,Q2) - xqi(x,Q2)]
AiP(Q2) = 2 ei vi ae PZ - 2 ve ae (vi
2+ai2) PZ
2
BiP(Q2) = 2 ei ai ve PZ - 2 ai vi (ve
2+ae2) PZ
2
SM formalism ai = T3i , vi = T3i – 2ei sin2ƏW
Let ai and vi be free as well as PDF parameters. Perform fits with 4 NC EW parameters free
NC and CCe+p data now included. Improvement is NOT due to extra statistics but due to NOT trying to compromise between two close by mimina anymore. Contours show that errors are now much less asymmetric wrt central values of the fit.
au ad vu vdSM value 0.5 -0.5 0.196 -0.346
4 EW param 0.50±0.13±0.22 -0.46±0.45±0.75 0.10±0.12±0.13 -0.53±0.28±0.39
4 EW param 0.60±0.06±0.06 -0.28±0.20±0.17 0.24±0.07±0.03 -0.24±0.15±0.11
au/vu ad/vd au/ad vu/vd contours: Final HERA-II e-
We look forward to NC e+
polarised data to improve
this.
au/vu ad/vd au/ad vu/vd contours: Final HERA-II e- plus Prel CC and NCe+
NC e+ polarised data do
improve this - it is not
just statistical it is
resolving a double
minimum problem
–hopefully the
systematics will cover
the SM!
Comparison with other experiments
Summary
• We have now repeated our preliminary work of Summer 2007 using the FINAL e- CC and NC data
• CCe+ improves the d-valence• And MW• NCe+ improves the u-valence further• And the NC EW couplings• For DIS re-do with just the CCe+ latest version and don’t
include NC EW contour update (and probably not MW update either at this stage.
Can also fit BOTH GF and MW remember GF SM= 1.11639×10-5
Or we can fit a more general formalism: fit g and MW in g2 / (Q2 + MW2)2
such that g2=GF2 MW
4 = 0.07542 for standard model
GF=1.141 ± 0.012 ± 0.022 ×10-5
GF=1.175 ± 0.010 ± 0.016 ×10-5
MW=79.5 ± 1.3 ± 2.6 MW=77.2 ± 1.1 ± 2.0
g= 0.0722 ± 0.0018 ± 0.0035 g= 0.0701 ± 0.0016 ± 0.0020
MW=79.5 ± 1.3 ± 2.6 MW=77.2 ± 1.1 ± 2.0
This is the most general way to present our data
Purple is with new NC/CC e- Red adds prel.NC/CCe+