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Observational constraints on cosmic strings: Bayesian analysis in a three dimensional parameter space

Astrophysics · Submitted 10 Mar 2004

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Already, varying only three parameters -- the spectral index and the amplitudes of the adiabatic and string contributions -- we find that the upper bound on the cosmic string contribution is of order 10%.

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arXiv IDastro-ph/0403268 (version 3)
Pith IDGKSXLRV5, Pith's permanent record of this paper and its review
CitationIra Wasserman, Levon Pogosian, Mark Wyman. "Observational constraints on cosmic strings: Bayesian analysis in a three dimensional parameter space." arXiv:astro-ph/0403268 (2004). https://pith.science/paper/GKSXLRV5
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,671 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.95 · human participants 0.01 · controlled comparison 0.07 · randomized assignment 0.01 · states quantitative result 0.98 · compares with prior results 0.97 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v3. Results and the main claim are underlined; .

Current data exclude cosmic strings as the primary source of primordial density fluctuations. However, in a wide class of inflationary models, strings can form at later stages of inflation and have potentially detectable observational signatures. We study the constraints from WMAP and SDSS data on the fraction of primordial fluctuations sourced by local cosmic strings. The Bayesian analysis presented in this brief report is restricted to the minimal number of parameters. Yet it is useful for two reasons. It confirms the results of Pogosian et al (2003) using an alternative statistical method. Secondly, it justifies the more costly multi-parameter analysis. Already, varying only three parameters -- the spectral index and the amplitudes of the adiabatic and string contributions -- we find that the upper bound on the cosmic string contribution is of order 10%. We expect that the full multi-parameter study, currently underway, will likely loosen this bound.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Current data exclude cosmic strings as the primary source of primordial density fluctuations. background 0.99 0.12 0.14 asserted 1.00
s1 However, in a wide class of inflationary models, strings can form at later stages of inflation and have potentially detectable observational signatures. background 0.94 0.06 0.04 hedged possibility 0.96
s2 We study the constraints from WMAP and SDSS data on the fraction of primordial fluctuations sourced by local cosmic strings. contribution 0.93 0.89 0.04 asserted 0.80
s3 The Bayesian analysis presented in this brief report is restricted to the minimal number of parameters. limitation 0.95 0.84 0.02 asserted 1.00
s4 Yet it is useful for two reasons. interpretation 0.62 0.27 0.02 asserted 0.94
s5 It confirms the results of Pogosian et al (2003) using an alternative statistical method. interpretation 0.43 0.72 0.06 asserted 1.00
s6 Secondly, it justifies the more costly multi-parameter analysis. interpretation 0.47 0.63 0.04 asserted 0.99
s7 Already, varying only three parameters -- the spectral index and the amplitudes of the adiabatic and string contributions -- we find that the upper bound on the cosmic string contribution is of order 10%. result 1.00 0.96 0.77 asserted 1.00
s8 We expect that the full multi-parameter study, currently underway, will likely loosen this bound. future work 0.93 0.38 0.07 hedged possibility 1.00

What kind of paper the classifier reports this is: empirical study 0.59 · evidence from analysis of existing data 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v3
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Current data exclude cosmic strings as the primary source of primordial density fluctuations. However, in a wide class of inflationary models, strings can form at later stages of inflation and have potentially detectable observational signatures. We study the constraints from WMAP and SDSS data on the fraction of primordial fluctuations sourced by local cosmic strings. The Bayesian analysis presented in this brief report is restricted to the minimal number of parameters. Yet it is useful for two reasons. It confirms the results of Pogosian et al (2003) using an alternative statistical method. Secondly, it justifies the more costly multi-parameter analysis. Already, varying only three parameters -- the spectral index and the amplitudes of the adiabatic and string contributions -- we find that the upper bound on the cosmic string contribution is of order 10%. We expect that the full multi-parameter study, currently underway, will likely loosen this bound.

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References
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9 arXiv papers cite this in 10 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 7 sentences without a confident label

Uses its data or values 2 papers
Cites it as background 1 paper

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