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Measurement of Flavor Separated Quark Polarizations at HERMES: Past, Present, and Future

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Past The Published HERMES 5-Flavor Dq Extraction. Present ... and DIS Kinematics at HERMES ... Analysis (SMC, SLAC, previous HERMES) ... – PowerPoint PPT presentation

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Title: Measurement of Flavor Separated Quark Polarizations at HERMES: Past, Present, and Future


1
Measurement of Flavor Separated Quark
Polarizations at HERMESPast, Present, and Future
Joshua G. Rubin University of Illinois For the
HERMES Collaboration WWND 2006 - San Diego March
17
2
Overview
  • Introduction DIS and Dq(x)
  • Past The Published HERMES 5-Flavor Dq
    Extraction
  • Present Isoscalar extraction of Ds
  • Future An Improved 5-Flavor Dq Extraction
  • Remarks

3
Deep-Inelastic Scattering and DIS Kinematics at
HERMES
4
Dq(x) and How to Measure it
Experimental Asymmetry
(A and A1 are related by depolarization and
kinematic factors)
LO expression
How can we get at Dq(x) then?!
  • Method 1 NLO Inclusive Analysis (SMC, SLAC,
    previous HERMES)
  • g1 is proportional to linear combinations of Dq
    functions (not shown)
  • Sensitive to combinations of flavors ?
    Constrains DS well
  • Requires assumptions about SU(3) flavor symmetry
    and hyperon b decay data
  • Limited Q2 coverage of g1(x,Q2) measurements --
    Unlike F1(x,Q2)

5
The Published HERMES 5-Flavor Dq(x) Extraction
A. Airapetian et al. Phys. Rev., D71012003, 2005
Method 2 Use final state hadrons
? Purity is probability that hadron h came from
quark flavor q. ? Use correlation between struck
quark and observed hadrons to flavor-tag
events ? Extract quark contributions with
semi-inclusive analysis
The semi-inclusive version of A1
6
Generating Purities with Monte Carlo
Fragmentation model tuned by minimizing c2
comparison of unpolarized data and MC
multiplicities
Monte Carlo
  • DIS Generation (LEPTO)
  • Fragmentation (JETSET)
  • Detector Model (GEANT)

PARJ2 Strange Quark Suppression PARJ41
Lund-String a parameter (tension) PARJ42
Lund-String b parameter PARJ45 a correction
parameter for diquarks
Fragmentation model uncertainties estimated
through JETSET tunes that poorly describe
multiplicities in HERMES kinematic domain
7
Extraction Method
We now solve,
where N is the nuclear mixing matrix, by
minimizing,
n-1A is a covariance matrix relating statistical
uncertainties in the bins of A.
8
5-Flavor Dq(x) Extraction
  • Du is positive and Dd is negative. Both are of
    the greatest magnitude in the valence quark
    range.
  • All the sea quark polarizations are consistent
    with zero (c2/ndf 7.4/7, 11.2/7, and 4.3/7 for
    u, d, and s respectively).
  • Almost equally consistent with GRSV2000 and BB01
    LO Parameterizations.

as it is not well constrained in the fit.
All sea quarks are set to zero for xgt0.3.
9
Comparison with Model Predictions for the Light
Sea Polarization
? But, u-d is highly asymmetric!
The HERMES data favors a symmetric light sea.
10
The Present Isoscalar extraction of Ds
Extract isoscalar combinations of Dq(x)
Asymmetries measured form isoscalar deuteron data
  • Inclusive purities are simple combinations of
    unpolarized PDFs.
  • Kaon purities can be computed from the
    unpolarized K multiplicity assuming only charge
    symmetry in fragmentation.

Excellent agreement -- No MC Dependence
11
Isoscalar method result
DS(x) consistent with zero
but NLO fits of g1(x) suggest a negative 1st
moment for DS(x)!
12
The Future 5-Flavor Dq(x) Extraction Revisited
  • Theres still room for improvement
  • Statistical uncertainties?
  • Not all possible asymmetries were utilized.
    Some may have significant leverage over the sea
    quarks (ks).
  • Systematic uncertainties?
  • The published Monte Carlo related systematic
    uncertainty was hopefully conservative.
  • Confirm rigorously
  • Potentially reduce!

13
Comparison of Uncertainties of Old and New
Asymmetries
2-4GeV deuterium gives additional pions and kaons
Additional asymmetries available
  • Published
  • New

14
Correlating MC tune and Dq(x) systematic
uncertainty
68 Contour
1. Scan c2 surface around best Monte Carlo tune.
Fit with quadratic Polynomial.
Best MC Tune
  • 2. Find 68 contour. Two factors
  • Height of 68 of d-dimensional Gaussian
    Distribution.
  • The height of c2 minimum to accommodate model
    imperfection. PDG does something like this.

c2
c2minC
c2min
parj b
parj a
3. Compute Dq(x) along contour Use Hessian
method to sample along uncorrelated parameter
directions. CTEQ does something like this.
15
The real thing
  • Scan the c2 surface around the best Monte Carlo
    tune.
  • Correlations are quite clear between parameters
  • Generate and diagonalize the matrix of 2nd
    derivatives to find linear combinations that are
    uncorrelated

Jetset/Lund c2 surface in Fragmentation Parameter
Basis
  • Blue ellipses represent 68 contour
  • Colored lines represent uncorrelated parameter
    directions

16
MC Multiplicities
  • Black dots are generated at the best Monte Carlo
    tune.
  • Colored dots are generated at the 68 contour in
    the uncorrelated parameter directions
  • 9 Hessian vectors
  • ? 18 parameter sets to include

So, where are the new Dq(x) uncertainties?! Resul
ts not yet released, but should be greatly
reduced (gt50 in some bins).
17
Concluding Remarks
  • New Isoscalar Extraction of Ds(x)
  • Excellent confirmation of Monte Carlo based
    5-flavor extraction
  • Suggests exciting new physics for Ds(x) in the
    xlt0.02 range
  • New 5-Flavor extraction
  • Takes full advantage of the HERMES longitudinal
    target data statistical power by incorporating
    many new asymmetries.
  • Addresses (and will reduce considerably!) Monte
    Carlo related systematic uncertainties in a
    rigorous way.
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