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Part 1: Document Description
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Citation |
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Title: |
Data release for A search for extremely-high-energy neutrinos and first constraints on the ultra-high-energy cosmic-ray proton fraction with IceCube |
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Identification Number: |
doi:10.7910/DVN/JHK49D |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2025-02-04 |
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Version: |
1 |
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Bibliographic Citation: |
IceCube Collaboration, 2025, "Data release for A search for extremely-high-energy neutrinos and first constraints on the ultra-high-energy cosmic-ray proton fraction with IceCube", https://doi.org/10.7910/DVN/JHK49D, Harvard Dataverse, V1, UNF:6:oHtAd/p/oyQ4kukhRAR9bA== [fileUNF] |
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Citation |
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Title: |
Data release for A search for extremely-high-energy neutrinos and first constraints on the ultra-high-energy cosmic-ray proton fraction with IceCube |
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Identification Number: |
doi:10.7910/DVN/JHK49D |
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Authoring Entity: |
IceCube Collaboration |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
IceCube Collaboration |
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Access Authority: |
Brian Clark |
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Access Authority: |
Maximilian Meier |
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Depositor: |
Clark, Brian |
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Date of Deposit: |
2025-01-07 |
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Holdings Information: |
https://doi.org/10.7910/DVN/JHK49D |
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Study Scope |
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Keywords: |
Astronomy and Astrophysics, Physics, neutrino, cosmic ray |
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Abstract: |
<h1 id="summary">Summary</h1> <p>Title: Data Release for A search for extremely-high-energy neutrinos and first constraints on the ultra-high-energy cosmic-ray proton fraction with IceCube</p> <p>The IceCube observatory analyzed 12.6 years of data in search of extremely-high-energy (EHE) neutrinos above 5 PeV. The resultant limit of the search (Fig 1), and the effective area of the event selection (Fig 7), are provided in this data release.</p> <h1 id="contents">Contents</h1> <ul> <li><p>README file: this file</p> </li> <li><p><code>differential_limit_and_sensitivity.csv</code>: a comma separated value file, giving the observed experimental differential limit, and sensitivity, of the search as a function of neutrino energy. This is the content of Fig 1 in the paper. The first column is the neutrino energy in GeV. The second column is the limit in units of GeV/cm2/s/sr. The third column is the sensitivity in units of GeV/cm2/s/sr.</p> </li> <li><p><code>effective_area.csv</code>: a comma separated value file, giving the effective area of the search as a function of energy. This is the content of Fig 7 in the paper. The first column is the neutrino energy in GeV. The second column is the total effective area of the search, summed across neutrino flavors, and averaged across neutrinos and antineutrinos, in meters-squared. The third column is the effective area of the search for the average of electron neutrino and electron antineutrinos in units of meters-squared. The fourth column is the same as the third, but for muon-flavor neutrinos. The fifth column is the same as the third and fourth, but for tau-flavor neutrinos.</p> </li> <li><p><code>demo.py</code>: a short python script to demonstrate how to read the files. Run like <code>python demo.py</code>. A standard base python installation is sufficient, as the only dependencies are numpy and matplotlib.</p> </li> </ul> <h1 id="contacts">Contacts</h1> <p>For any questions about this data release, please write to analysis@icecube.wisc.edu</p> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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File Description--f10807870 |
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File: differential_limit_and_sensitivity.tab |
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Notes: |
UNF:6:kDVKbz9GDwC8E/8SSnxhOQ== |
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File Description--f10807872 |
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File: effective_area.tab |
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Notes: |
UNF:6:NJXTHgJJaYLuW46Gzjv7ug== |
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List of Variables: |
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Variables |
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f10807870 Location: |
Summary Statistics: Min. 3162000.0; Mean 1.46242982E10; Max. 1.0E11; StDev 3.1573956845330986E10; Valid 10.0 Variable Format: numeric Notes: UNF:6:3tsZvqDUylu0+ecd5fuZRg== |
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f10807870 Location: |
Summary Statistics: Valid 10.0; Min. 5.377E-9; Mean 3.9857199999999995E-8; Max. 2.201E-7; StDev 6.698206012027067E-8; Variable Format: numeric Notes: UNF:6:muFBv91VvJtyQDLbTfipVQ== |
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f10807870 Location: |
Summary Statistics: Mean 3.7985399999999994E-8; StDev 6.687688701753062E-8; Valid 10.0; Max. 2.173E-7; Min. 2.175E-9; Variable Format: numeric Notes: UNF:6:LbjU7RuQlsmm3P2MOq274w== |
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f10807872 Location: |
Summary Statistics: Valid 100.0; Min. 1060000.0; StDev 1.904980538356177E10; Mean 8.6976908E9; Max. 9.46E10 Variable Format: numeric Notes: UNF:6:WjiZeEHCsSx+lueZsMt16A== |
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f10807872 Location: |
Summary Statistics: StDev 10106.849712396332; Min. 1.27; Mean 7688.082800000013; Valid 100.0; Max. 35800.0; Variable Format: numeric Notes: UNF:6:W4ogyWzsYmDVikGvC0PM6A== |
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f10807872 Location: |
Summary Statistics: Min. 0.106; StDev 902.6614753320225; Valid 100.0; Mean 752.0356100000006; Max. 3330.0 Variable Format: numeric Notes: UNF:6:9dMqGxqKl6Zqr2TfiVMcnQ== |
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f10807872 Location: |
Summary Statistics: Min. 1.04; Max. 14500.0; StDev 4064.7947378061995; Mean 3172.2379999999957; Valid 100.0 Variable Format: numeric Notes: UNF:6:M/Qk6MAXMFZswdUI2cJVUQ== |
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f10807872 Location: |
Summary Statistics: Max. 18200.0; StDev 5144.233809681419; Valid 100.0; Mean 3763.3431699999956; Min. 0.131 Variable Format: numeric Notes: UNF:6:vGfpo1IvHGQ3LklyuGIyKw== |
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Label: |
demo.py |
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Notes: |
text/x-python-script |
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Label: |
README.md |
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Notes: |
text/markdown |