Determining the neutrino mass hierarchy with INO, T2K, NOvA and reactor experiments View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-04-02

AUTHORS

Anushree Ghosh, Tarak Thakore, Sandhya Choubey

ABSTRACT

The relatively large measured value of θ13 has opened up the possibility of determining the neutrino mass hierarchy through earth matter effects. Amongst the current accelerator-based experiments only NOvA has a long enough baseline to observe earth matter effects. However, NOvA is plagued with uncertainty on the knowledge of the true value of δCP, and this could drastically reduce its sensitivity to the neutrino mass hierarchy. The earth matter effect on atmospheric neutrinos on the other hand is almost independent of δCP. The 50 kton magnetized Iron CALorimeter at the India-based Neutrino Observatory (ICAL@INO) will be observing atmospheric neutrinos. The charge identification capability of this detector gives it an edge over others for mass hierarchy determination through observation of earth matter effects. We study in detail the neutrino mass hierarchy sensitivity of the data from this experiment simulated using the NUANCE based generator developed for ICAL@INO and folded with the detector resolutions and efficiencies obtained by the INO collaboration from a full Geant4-based detector simulation. The data from ICAL@INO is then combined with simulated data from T2K, NOvA, Double Chooz, RENO and Daya Bay experiments and a combined sensitivity study to the mass hierarchy is performed. With 10 years of ICAL@INO data combined with T2K, NOvA and reactor data, one could get about 2.3σ-5.7σ discovery of the neutrino mass hierarchy, depending on the true value of sin2θ23 [0.4-0.6], sin2 2θ13 [0.08-0.12] and δCP [0-2π]. More... »

PAGES

9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/jhep04(2013)009

DOI

http://dx.doi.org/10.1007/jhep04(2013)009

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024145113


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": "Harish-Chandra Research Institute, Chhatnag Road, Jhunsi, 211 019, Allahabad, India", 
          "id": "http://www.grid.ac/institutes/grid.450311.2", 
          "name": [
            "Harish-Chandra Research Institute, Chhatnag Road, Jhunsi, 211 019, Allahabad, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ghosh", 
        "givenName": "Anushree", 
        "id": "sg:person.010654527035.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010654527035.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tata Institute of Fundamental Research, 1, Homi Bhabha Road, 400 005, Mumbai, India", 
          "id": "http://www.grid.ac/institutes/grid.22401.35", 
          "name": [
            "Tata Institute of Fundamental Research, 1, Homi Bhabha Road, 400 005, Mumbai, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thakore", 
        "givenName": "Tarak", 
        "id": "sg:person.014612450665.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014612450665.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harish-Chandra Research Institute, Chhatnag Road, Jhunsi, 211 019, Allahabad, India", 
          "id": "http://www.grid.ac/institutes/grid.450311.2", 
          "name": [
            "Harish-Chandra Research Institute, Chhatnag Road, Jhunsi, 211 019, Allahabad, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choubey", 
        "givenName": "Sandhya", 
        "id": "sg:person.011432655314.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011432655314.55"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1088/1126-6708/2007/05/077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033998416", 
          "https://doi.org/10.1088/1126-6708/2007/05/077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1088/1126-6708/2007/04/041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006867515", 
          "https://doi.org/10.1088/1126-6708/2007/04/041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/jhep12(2012)123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010826359", 
          "https://doi.org/10.1007/jhep12(2012)123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1140/epjc/s2002-01064-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042198816", 
          "https://doi.org/10.1140/epjc/s2002-01064-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1088/1126-6708/2008/06/072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032744852", 
          "https://doi.org/10.1088/1126-6708/2008/06/072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/jhep05(2011)075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013750890", 
          "https://doi.org/10.1007/jhep05(2011)075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1088/1126-6708/2009/11/044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025020491", 
          "https://doi.org/10.1088/1126-6708/2009/11/044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/jhep02(2013)082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032438139", 
          "https://doi.org/10.1007/jhep02(2013)082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/jhep07(2011)048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047896492", 
          "https://doi.org/10.1007/jhep07(2011)048"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-04-02", 
    "datePublishedReg": "2013-04-02", 
    "description": "The relatively large measured value of \u03b813 has opened up the possibility of determining the neutrino mass hierarchy through earth matter effects. Amongst the current accelerator-based experiments only NOvA has a long enough baseline to observe earth matter effects. However, NOvA is plagued with uncertainty on the knowledge of the true value of \u03b4CP, and this could drastically reduce its sensitivity to the neutrino mass hierarchy. The earth matter effect on atmospheric neutrinos on the other hand is almost independent of \u03b4CP. The 50 kton magnetized Iron CALorimeter at the India-based Neutrino Observatory (ICAL@INO) will be observing atmospheric neutrinos. The charge identification capability of this detector gives it an edge over others for mass hierarchy determination through observation of earth matter effects. We study in detail the neutrino mass hierarchy sensitivity of the data from this experiment simulated using the NUANCE based generator developed for ICAL@INO and folded with the detector resolutions and efficiencies obtained by the INO collaboration from a full Geant4-based detector simulation. The data from ICAL@INO is then combined with simulated data from T2K, NOvA, Double Chooz, RENO and Daya Bay experiments and a combined sensitivity study to the mass hierarchy is performed. With 10 years of ICAL@INO data combined with T2K, NOvA and reactor data, one could get about 2.3\u03c3-5.7\u03c3 discovery of the neutrino mass hierarchy, depending on the true value of sin2\u03b823 [0.4-0.6], sin2 2\u03b813 [0.08-0.12] and \u03b4CP [0-2\u03c0].", 
    "genre": "article", 
    "id": "sg:pub.10.1007/jhep04(2013)009", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1052482", 
        "issn": [
          "1126-6708", 
          "1029-8479"
        ], 
        "name": "Journal of High Energy Physics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2013"
      }
    ], 
    "keywords": [
      "Earth matter effects", 
      "neutrino mass hierarchy", 
      "matter effects", 
      "mass hierarchy", 
      "T2K", 
      "atmospheric neutrinos", 
      "accelerator-based experiments", 
      "charge identification capability", 
      "mass hierarchy sensitivity", 
      "Daya Bay experiment", 
      "mass hierarchy determination", 
      "Neutrino Observatory", 
      "INO collaboration", 
      "hierarchy sensitivity", 
      "sin2 2\u03b813", 
      "detector simulation", 
      "Double Chooz", 
      "detector resolution", 
      "iron calorimeter", 
      "hierarchy determination", 
      "large measured value", 
      "neutrinos", 
      "identification capability", 
      "novae", 
      "reactor experiments", 
      "sin2\u03b823", 
      "Chooz", 
      "Observatory", 
      "\u03b813", 
      "reactor data", 
      "\u0394Cp", 
      "detector", 
      "kton", 
      "experiments", 
      "measured values", 
      "resolution", 
      "calorimeter", 
      "simulated data", 
      "edge", 
      "true value", 
      "simulations", 
      "sensitivity", 
      "sensitivity study", 
      "effect", 
      "detail", 
      "values", 
      "possibility", 
      "efficiency", 
      "determination", 
      "capability", 
      "data", 
      "generator", 
      "uncertainty", 
      "discovery", 
      "Reno", 
      "hierarchy", 
      "iNO", 
      "collaboration", 
      "hand", 
      "study", 
      "knowledge", 
      "years", 
      "baseline", 
      "nuances", 
      "India", 
      "observations"
    ], 
    "name": "Determining the neutrino mass hierarchy with INO, T2K, NOvA and reactor experiments", 
    "pagination": "9", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1024145113"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/jhep04(2013)009"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/jhep04(2013)009", 
      "https://app.dimensions.ai/details/publication/pub.1024145113"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-10T10:05", 
    "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_588.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/jhep04(2013)009"
  }
]
 

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/jhep04(2013)009'

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/jhep04(2013)009'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/jhep04(2013)009'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/jhep04(2013)009'


 

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

177 TRIPLES      22 PREDICATES      100 URIs      83 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/jhep04(2013)009 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author N50b9fb394ca64cb988155439475d75ee
4 schema:citation sg:pub.10.1007/jhep02(2013)082
5 sg:pub.10.1007/jhep05(2011)075
6 sg:pub.10.1007/jhep07(2011)048
7 sg:pub.10.1007/jhep12(2012)123
8 sg:pub.10.1088/1126-6708/2007/04/041
9 sg:pub.10.1088/1126-6708/2007/05/077
10 sg:pub.10.1088/1126-6708/2008/06/072
11 sg:pub.10.1088/1126-6708/2009/11/044
12 sg:pub.10.1140/epjc/s2002-01064-7
13 schema:datePublished 2013-04-02
14 schema:datePublishedReg 2013-04-02
15 schema:description The relatively large measured value of θ13 has opened up the possibility of determining the neutrino mass hierarchy through earth matter effects. Amongst the current accelerator-based experiments only NOvA has a long enough baseline to observe earth matter effects. However, NOvA is plagued with uncertainty on the knowledge of the true value of δCP, and this could drastically reduce its sensitivity to the neutrino mass hierarchy. The earth matter effect on atmospheric neutrinos on the other hand is almost independent of δCP. The 50 kton magnetized Iron CALorimeter at the India-based Neutrino Observatory (ICAL@INO) will be observing atmospheric neutrinos. The charge identification capability of this detector gives it an edge over others for mass hierarchy determination through observation of earth matter effects. We study in detail the neutrino mass hierarchy sensitivity of the data from this experiment simulated using the NUANCE based generator developed for ICAL@INO and folded with the detector resolutions and efficiencies obtained by the INO collaboration from a full Geant4-based detector simulation. The data from ICAL@INO is then combined with simulated data from T2K, NOvA, Double Chooz, RENO and Daya Bay experiments and a combined sensitivity study to the mass hierarchy is performed. With 10 years of ICAL@INO data combined with T2K, NOvA and reactor data, one could get about 2.3σ-5.7σ discovery of the neutrino mass hierarchy, depending on the true value of sin2θ23 [0.4-0.6], sin2 2θ13 [0.08-0.12] and δCP [0-2π].
16 schema:genre article
17 schema:inLanguage en
18 schema:isAccessibleForFree true
19 schema:isPartOf N01da4c99656d49778730171fa2cd16bf
20 Nec349ba911ac4491a0d5652716366a69
21 sg:journal.1052482
22 schema:keywords Chooz
23 Daya Bay experiment
24 Double Chooz
25 Earth matter effects
26 INO collaboration
27 India
28 Neutrino Observatory
29 Observatory
30 Reno
31 T2K
32 accelerator-based experiments
33 atmospheric neutrinos
34 baseline
35 calorimeter
36 capability
37 charge identification capability
38 collaboration
39 data
40 detail
41 detector
42 detector resolution
43 detector simulation
44 determination
45 discovery
46 edge
47 effect
48 efficiency
49 experiments
50 generator
51 hand
52 hierarchy
53 hierarchy determination
54 hierarchy sensitivity
55 iNO
56 identification capability
57 iron calorimeter
58 knowledge
59 kton
60 large measured value
61 mass hierarchy
62 mass hierarchy determination
63 mass hierarchy sensitivity
64 matter effects
65 measured values
66 neutrino mass hierarchy
67 neutrinos
68 novae
69 nuances
70 observations
71 possibility
72 reactor data
73 reactor experiments
74 resolution
75 sensitivity
76 sensitivity study
77 simulated data
78 simulations
79 sin2 2θ13
80 sin2θ23
81 study
82 true value
83 uncertainty
84 values
85 years
86 ΔCp
87 θ13
88 schema:name Determining the neutrino mass hierarchy with INO, T2K, NOvA and reactor experiments
89 schema:pagination 9
90 schema:productId Nca66ae16d70b47b6978d0dcee5446b7c
91 Nde9e41af15704f3c90dc1e36652fb841
92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024145113
93 https://doi.org/10.1007/jhep04(2013)009
94 schema:sdDatePublished 2022-05-10T10:05
95 schema:sdLicense https://scigraph.springernature.com/explorer/license/
96 schema:sdPublisher Nb2f5e302580247df8681edadc8c01b4f
97 schema:url https://doi.org/10.1007/jhep04(2013)009
98 sgo:license sg:explorer/license/
99 sgo:sdDataset articles
100 rdf:type schema:ScholarlyArticle
101 N01da4c99656d49778730171fa2cd16bf schema:issueNumber 4
102 rdf:type schema:PublicationIssue
103 N50b9fb394ca64cb988155439475d75ee rdf:first sg:person.010654527035.62
104 rdf:rest N9cfd5add1ced4e1bb0f73cddb728ba02
105 N9cfd5add1ced4e1bb0f73cddb728ba02 rdf:first sg:person.014612450665.14
106 rdf:rest Nf4f7b446bc624333b6d6c8c55cdb7860
107 Nb2f5e302580247df8681edadc8c01b4f schema:name Springer Nature - SN SciGraph project
108 rdf:type schema:Organization
109 Nca66ae16d70b47b6978d0dcee5446b7c schema:name dimensions_id
110 schema:value pub.1024145113
111 rdf:type schema:PropertyValue
112 Nde9e41af15704f3c90dc1e36652fb841 schema:name doi
113 schema:value 10.1007/jhep04(2013)009
114 rdf:type schema:PropertyValue
115 Nec349ba911ac4491a0d5652716366a69 schema:volumeNumber 2013
116 rdf:type schema:PublicationVolume
117 Nf4f7b446bc624333b6d6c8c55cdb7860 rdf:first sg:person.011432655314.55
118 rdf:rest rdf:nil
119 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
120 schema:name Physical Sciences
121 rdf:type schema:DefinedTerm
122 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
123 schema:name Other Physical Sciences
124 rdf:type schema:DefinedTerm
125 sg:journal.1052482 schema:issn 1029-8479
126 1126-6708
127 schema:name Journal of High Energy Physics
128 schema:publisher Springer Nature
129 rdf:type schema:Periodical
130 sg:person.010654527035.62 schema:affiliation grid-institutes:grid.450311.2
131 schema:familyName Ghosh
132 schema:givenName Anushree
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010654527035.62
134 rdf:type schema:Person
135 sg:person.011432655314.55 schema:affiliation grid-institutes:grid.450311.2
136 schema:familyName Choubey
137 schema:givenName Sandhya
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011432655314.55
139 rdf:type schema:Person
140 sg:person.014612450665.14 schema:affiliation grid-institutes:grid.22401.35
141 schema:familyName Thakore
142 schema:givenName Tarak
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014612450665.14
144 rdf:type schema:Person
145 sg:pub.10.1007/jhep02(2013)082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032438139
146 https://doi.org/10.1007/jhep02(2013)082
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/jhep05(2011)075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013750890
149 https://doi.org/10.1007/jhep05(2011)075
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/jhep07(2011)048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047896492
152 https://doi.org/10.1007/jhep07(2011)048
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/jhep12(2012)123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010826359
155 https://doi.org/10.1007/jhep12(2012)123
156 rdf:type schema:CreativeWork
157 sg:pub.10.1088/1126-6708/2007/04/041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006867515
158 https://doi.org/10.1088/1126-6708/2007/04/041
159 rdf:type schema:CreativeWork
160 sg:pub.10.1088/1126-6708/2007/05/077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033998416
161 https://doi.org/10.1088/1126-6708/2007/05/077
162 rdf:type schema:CreativeWork
163 sg:pub.10.1088/1126-6708/2008/06/072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032744852
164 https://doi.org/10.1088/1126-6708/2008/06/072
165 rdf:type schema:CreativeWork
166 sg:pub.10.1088/1126-6708/2009/11/044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025020491
167 https://doi.org/10.1088/1126-6708/2009/11/044
168 rdf:type schema:CreativeWork
169 sg:pub.10.1140/epjc/s2002-01064-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042198816
170 https://doi.org/10.1140/epjc/s2002-01064-7
171 rdf:type schema:CreativeWork
172 grid-institutes:grid.22401.35 schema:alternateName Tata Institute of Fundamental Research, 1, Homi Bhabha Road, 400 005, Mumbai, India
173 schema:name Tata Institute of Fundamental Research, 1, Homi Bhabha Road, 400 005, Mumbai, India
174 rdf:type schema:Organization
175 grid-institutes:grid.450311.2 schema:alternateName Harish-Chandra Research Institute, Chhatnag Road, Jhunsi, 211 019, Allahabad, India
176 schema:name Harish-Chandra Research Institute, Chhatnag Road, Jhunsi, 211 019, Allahabad, India
177 rdf:type schema:Organization
 




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


...