SU(2) Flavor Asymmetry of the Proton Sea in Chiral Effective Theory View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-02-17

AUTHORS

J. R. McKenney, Nobuo Sato, W. Melnitchouk, Chueng-Ryong Ji

ABSTRACT

We refine the computation of the d̄ − ū flavor asymmetry in the proton sea with a complementary effort to reveal the dynamics of pion exchange in high-energy processes. In particular, we discuss the efficacy of pion exchange models to simultaneously describe leading neutron electroproduction at HERA along with the d̄ − ū flavor asymmetry in the proton. A detailed χ2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\chi^{2}}$$\end{document} analysis of the ZEUS and H1 data, when combined with constraints on the pion flux from Drell-Yan data, allows regions of applicability of one-pion exchange to be delineated. Based on the fit results, we also address a possible estimate for leading proton structure functions in upcoming tagged deep-inelastic scattering experiments at Jefferson Lab on the deuteron with forward protons. More... »

PAGES

593-599

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00601-016-1047-7

DOI

http://dx.doi.org/10.1007/s00601-016-1047-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036500030


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of North Carolina, 27599, Chapel Hill, NC, USA", 
          "id": "http://www.grid.ac/institutes/grid.410711.2", 
          "name": [
            "University of North Carolina, 27599, Chapel Hill, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McKenney", 
        "givenName": "J. R.", 
        "id": "sg:person.015262126623.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015262126623.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jefferson Lab, Newport News, 23606, Virginia, USA", 
          "id": "http://www.grid.ac/institutes/grid.450315.6", 
          "name": [
            "Jefferson Lab, Newport News, 23606, Virginia, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sato", 
        "givenName": "Nobuo", 
        "id": "sg:person.07355706714.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07355706714.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jefferson Lab, Newport News, 23606, Virginia, USA", 
          "id": "http://www.grid.ac/institutes/grid.450315.6", 
          "name": [
            "Jefferson Lab, Newport News, 23606, Virginia, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Melnitchouk", 
        "givenName": "W.", 
        "id": "sg:person.0616701250.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616701250.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "North Carolina State University, 27695, Raleigh, NC, USA", 
          "id": "http://www.grid.ac/institutes/grid.40803.3f", 
          "name": [
            "North Carolina State University, 27695, Raleigh, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ji", 
        "givenName": "Chueng-Ryong", 
        "id": "sg:person.0621263742.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621263742.60"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00601-015-0949-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003031521", 
          "https://doi.org/10.1007/s00601-015-0949-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01550244", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004098555", 
          "https://doi.org/10.1007/bf01550244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1140/epjc/s10052-010-1369-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022082138", 
          "https://doi.org/10.1140/epjc/s10052-010-1369-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01573728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015317069", 
          "https://doi.org/10.1007/bf01573728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/0-306-47073-x_2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005644745", 
          "https://doi.org/10.1007/0-306-47073-x_2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1140/epjc/s2004-01666-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044475802", 
          "https://doi.org/10.1140/epjc/s2004-01666-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1140/epja/i2003-10006-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047270835", 
          "https://doi.org/10.1140/epja/i2003-10006-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-02-17", 
    "datePublishedReg": "2016-02-17", 
    "description": "We refine the computation of the d\u0304 \u2212 \u016b flavor asymmetry in the proton sea with a complementary effort to reveal the dynamics of pion exchange in high-energy processes. In particular, we discuss the efficacy of pion exchange models to simultaneously describe leading neutron electroproduction at HERA along with the d\u0304 \u2212 \u016b flavor asymmetry in the proton. A detailed \u03c72\\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$${\\chi^{2}}$$\\end{document} analysis of the ZEUS and H1 data, when combined with constraints on the pion flux from Drell-Yan data, allows regions of applicability of one-pion exchange to be delineated. Based on the fit results, we also address a possible estimate for leading proton structure functions in upcoming tagged deep-inelastic scattering experiments at Jefferson Lab on the deuteron with forward protons.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00601-016-1047-7", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136823", 
        "issn": [
          "0177-7963", 
          "1432-5411"
        ], 
        "name": "Few-Body Systems", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "57"
      }
    ], 
    "keywords": [
      "flavor asymmetry", 
      "deep inelastic scattering experiments", 
      "high-energy processes", 
      "proton sea", 
      "Drell-Yan data", 
      "proton structure function", 
      "one-pion exchange", 
      "pion exchange model", 
      "scattering experiment", 
      "chiral effective theory", 
      "Jefferson Lab", 
      "pion exchange", 
      "region of applicability", 
      "effective theory", 
      "structure functions", 
      "forward protons", 
      "pion flux", 
      "H1 data", 
      "protons", 
      "fit results", 
      "exchange model", 
      "asymmetry", 
      "deuterons", 
      "HERA", 
      "electroproduction", 
      "flux", 
      "dynamics", 
      "theory", 
      "Zeus", 
      "experiments", 
      "exchange", 
      "region", 
      "lab", 
      "computation", 
      "possible estimates", 
      "data", 
      "constraints", 
      "function", 
      "model", 
      "process", 
      "results", 
      "applicability", 
      "estimates", 
      "complementary efforts", 
      "analysis", 
      "efforts", 
      "Sea", 
      "efficacy"
    ], 
    "name": "SU(2) Flavor Asymmetry of the Proton Sea in Chiral Effective Theory", 
    "pagination": "593-599", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036500030"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00601-016-1047-7"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00601-016-1047-7", 
      "https://app.dimensions.ai/details/publication/pub.1036500030"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-10T10:16", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_694.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00601-016-1047-7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00601-016-1047-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00601-016-1047-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00601-016-1047-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00601-016-1047-7'


 

This table displays all metadata directly associated to this object as RDF triples.

161 TRIPLES      22 PREDICATES      80 URIs      65 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00601-016-1047-7 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author Nb0d4607e658c4b1daa5b06fc141e6e11
4 schema:citation sg:pub.10.1007/0-306-47073-x_2
5 sg:pub.10.1007/bf01550244
6 sg:pub.10.1007/bf01573728
7 sg:pub.10.1007/s00601-015-0949-0
8 sg:pub.10.1140/epja/i2003-10006-6
9 sg:pub.10.1140/epjc/s10052-010-1369-4
10 sg:pub.10.1140/epjc/s2004-01666-y
11 schema:datePublished 2016-02-17
12 schema:datePublishedReg 2016-02-17
13 schema:description We refine the computation of the d̄ − ū flavor asymmetry in the proton sea with a complementary effort to reveal the dynamics of pion exchange in high-energy processes. In particular, we discuss the efficacy of pion exchange models to simultaneously describe leading neutron electroproduction at HERA along with the d̄ − ū flavor asymmetry in the proton. A detailed χ2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\chi^{2}}$$\end{document} analysis of the ZEUS and H1 data, when combined with constraints on the pion flux from Drell-Yan data, allows regions of applicability of one-pion exchange to be delineated. Based on the fit results, we also address a possible estimate for leading proton structure functions in upcoming tagged deep-inelastic scattering experiments at Jefferson Lab on the deuteron with forward protons.
14 schema:genre article
15 schema:inLanguage en
16 schema:isAccessibleForFree false
17 schema:isPartOf N8add7ca7b74645e0b5ca93b271905320
18 Nd6b27833bf324980aadac4cd9fa83a9c
19 sg:journal.1136823
20 schema:keywords Drell-Yan data
21 H1 data
22 HERA
23 Jefferson Lab
24 Sea
25 Zeus
26 analysis
27 applicability
28 asymmetry
29 chiral effective theory
30 complementary efforts
31 computation
32 constraints
33 data
34 deep inelastic scattering experiments
35 deuterons
36 dynamics
37 effective theory
38 efficacy
39 efforts
40 electroproduction
41 estimates
42 exchange
43 exchange model
44 experiments
45 fit results
46 flavor asymmetry
47 flux
48 forward protons
49 function
50 high-energy processes
51 lab
52 model
53 one-pion exchange
54 pion exchange
55 pion exchange model
56 pion flux
57 possible estimates
58 process
59 proton sea
60 proton structure function
61 protons
62 region
63 region of applicability
64 results
65 scattering experiment
66 structure functions
67 theory
68 schema:name SU(2) Flavor Asymmetry of the Proton Sea in Chiral Effective Theory
69 schema:pagination 593-599
70 schema:productId N1388d0f85b9d43f7a025d1d2862811d8
71 N7af26f88bd0c497aa7720cd100ac3f25
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036500030
73 https://doi.org/10.1007/s00601-016-1047-7
74 schema:sdDatePublished 2022-05-10T10:16
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher N5a4db819ca6f4edebb09c8f02738fa6b
77 schema:url https://doi.org/10.1007/s00601-016-1047-7
78 sgo:license sg:explorer/license/
79 sgo:sdDataset articles
80 rdf:type schema:ScholarlyArticle
81 N1388d0f85b9d43f7a025d1d2862811d8 schema:name dimensions_id
82 schema:value pub.1036500030
83 rdf:type schema:PropertyValue
84 N5a4db819ca6f4edebb09c8f02738fa6b schema:name Springer Nature - SN SciGraph project
85 rdf:type schema:Organization
86 N7af26f88bd0c497aa7720cd100ac3f25 schema:name doi
87 schema:value 10.1007/s00601-016-1047-7
88 rdf:type schema:PropertyValue
89 N8add7ca7b74645e0b5ca93b271905320 schema:volumeNumber 57
90 rdf:type schema:PublicationVolume
91 N8f62aa11f5ec4087ba02438cd7c079d1 rdf:first sg:person.0616701250.62
92 rdf:rest Ne5501a0fa8664a958e5d447b78928f1f
93 Nac94621914f247659e733ddd9caa2301 rdf:first sg:person.07355706714.69
94 rdf:rest N8f62aa11f5ec4087ba02438cd7c079d1
95 Nb0d4607e658c4b1daa5b06fc141e6e11 rdf:first sg:person.015262126623.44
96 rdf:rest Nac94621914f247659e733ddd9caa2301
97 Nd6b27833bf324980aadac4cd9fa83a9c schema:issueNumber 7
98 rdf:type schema:PublicationIssue
99 Ne5501a0fa8664a958e5d447b78928f1f rdf:first sg:person.0621263742.60
100 rdf:rest rdf:nil
101 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
102 schema:name Physical Sciences
103 rdf:type schema:DefinedTerm
104 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
105 schema:name Other Physical Sciences
106 rdf:type schema:DefinedTerm
107 sg:journal.1136823 schema:issn 0177-7963
108 1432-5411
109 schema:name Few-Body Systems
110 schema:publisher Springer Nature
111 rdf:type schema:Periodical
112 sg:person.015262126623.44 schema:affiliation grid-institutes:grid.410711.2
113 schema:familyName McKenney
114 schema:givenName J. R.
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015262126623.44
116 rdf:type schema:Person
117 sg:person.0616701250.62 schema:affiliation grid-institutes:grid.450315.6
118 schema:familyName Melnitchouk
119 schema:givenName W.
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616701250.62
121 rdf:type schema:Person
122 sg:person.0621263742.60 schema:affiliation grid-institutes:grid.40803.3f
123 schema:familyName Ji
124 schema:givenName Chueng-Ryong
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621263742.60
126 rdf:type schema:Person
127 sg:person.07355706714.69 schema:affiliation grid-institutes:grid.450315.6
128 schema:familyName Sato
129 schema:givenName Nobuo
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07355706714.69
131 rdf:type schema:Person
132 sg:pub.10.1007/0-306-47073-x_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005644745
133 https://doi.org/10.1007/0-306-47073-x_2
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/bf01550244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004098555
136 https://doi.org/10.1007/bf01550244
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/bf01573728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015317069
139 https://doi.org/10.1007/bf01573728
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s00601-015-0949-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003031521
142 https://doi.org/10.1007/s00601-015-0949-0
143 rdf:type schema:CreativeWork
144 sg:pub.10.1140/epja/i2003-10006-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047270835
145 https://doi.org/10.1140/epja/i2003-10006-6
146 rdf:type schema:CreativeWork
147 sg:pub.10.1140/epjc/s10052-010-1369-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022082138
148 https://doi.org/10.1140/epjc/s10052-010-1369-4
149 rdf:type schema:CreativeWork
150 sg:pub.10.1140/epjc/s2004-01666-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1044475802
151 https://doi.org/10.1140/epjc/s2004-01666-y
152 rdf:type schema:CreativeWork
153 grid-institutes:grid.40803.3f schema:alternateName North Carolina State University, 27695, Raleigh, NC, USA
154 schema:name North Carolina State University, 27695, Raleigh, NC, USA
155 rdf:type schema:Organization
156 grid-institutes:grid.410711.2 schema:alternateName University of North Carolina, 27599, Chapel Hill, NC, USA
157 schema:name University of North Carolina, 27599, Chapel Hill, NC, USA
158 rdf:type schema:Organization
159 grid-institutes:grid.450315.6 schema:alternateName Jefferson Lab, Newport News, 23606, Virginia, USA
160 schema:name Jefferson Lab, Newport News, 23606, Virginia, USA
161 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...