scholarly journals New method for extracting neutron structure functions from nuclear data

2009 ◽  
Vol 79 (3) ◽  
Author(s):  
Yonatan Kahn ◽  
W. Melnitchouk ◽  
S. A. Kulagin
2006 ◽  
Vol 21 (01) ◽  
pp. 23-40 ◽  
Author(s):  
L. FRANKFURT ◽  
V. GUZEY ◽  
M. STRIKMAN

We review predictions of the theory of leading twist nuclear shadowing for inclusive unpolarized and polarized deuteron structure functions [Formula: see text], [Formula: see text] and [Formula: see text] and for the tagged deuteron structure function [Formula: see text]. We analyze the possibility to extract the neutron structure function [Formula: see text] from electron–deuteron data and demonstrate that an account of leading twist nuclear shadowing leads to large corrections for the extraction of [Formula: see text] from the future deuteron collider data both in the inclusive and in the tagged structure function modes. We suggest several strategies to address the extraction of [Formula: see text] and to measure at the same time the effect of nuclear shadowing via the measurement of the distortion of the proton spectator spectrum in the semi-inclusive eD → e′NX process. We address the issue of the final state interactions in the eD → e′NX process and examine how they affect the extraction of [Formula: see text].


1994 ◽  
Vol 348 (3) ◽  
pp. 211-215 ◽  
Author(s):  
A. Yu. Umnikov ◽  
F. C. Khanna ◽  
L. P. Kaptari

1982 ◽  
Vol 117 (3-4) ◽  
pp. 262-266 ◽  
Author(s):  
D. Allasia ◽  
C. Angelini ◽  
A. Argento ◽  
M. Baldo-Ceolin ◽  
S. Barlag ◽  
...  

2009 ◽  
Author(s):  
Yonatan Kahn ◽  
Jian-Ping Chen ◽  
Karl Slifer ◽  
Wally Melnitchouk

2021 ◽  
Vol 51 (5) ◽  
pp. 1375-1393
Author(s):  
Han Wang ◽  
Oliver Bühler

AbstractWe present a new method to estimate second-order horizontal velocity structure functions, as well as their Helmholtz decomposition into rotational and divergent components, from sparse data collected along Lagrangian observations. The novelty compared to existing methods is that we allow for anisotropic statistics in the velocity field and also in the collection of the Lagrangian data. Specifically, we assume only stationarity and spatial homogeneity of the data and that the cross covariance between the rotational and divergent flow components is either zero or a function of the separation distance only. No further assumptions are made and the anisotropy of the underlying flow components can be arbitrarily strong. We demonstrate our new method by testing it against synthetic data and applying it to the Lagrangian Submesoscale Experiment (LASER) dataset. We also identify an improved statistical angle-weighting technique that generally increases the accuracy of structure function estimations in the presence of anisotropy.


1990 ◽  
Vol 42 (11) ◽  
pp. 3621-3636 ◽  
Author(s):  
R. P. Bickerstaff ◽  
J. T. Londergan

1985 ◽  
Vol 28 (3) ◽  
pp. 321-333 ◽  
Author(s):  
D. Allasia ◽  
C. Angelini ◽  
A. Baldini ◽  
L. Bertanza ◽  
A. Bigi ◽  
...  

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