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The COBE Normalization of CMB Anisotropies

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Martin White, Emory F. Bunn

Astrophysics · Submitted 14 Mar 1995

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

The authors' main claim This technique allows an extremely wide range of theories to be accurately normalized to COBE in a very simple and fast way.

how it is stated · asserted 1.00 read the record →

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arXiv IDastro-ph/9503054 (version 3)
Pith IDVBYBO6NH, Pith's permanent record of this paper and its review
CitationEmory F. Bunn, Martin White. "The COBE Normalization of CMB Anisotropies." arXiv:astro-ph/9503054 (1995). https://pith.science/paper/VBYBO6NH
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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-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,833 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.07 · states limitation 0.09 · human participants 0.01 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.17 · compares with prior results 0.16 · mentions code or data availability 0.03.

The abstract, sentence by sentence

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

With the advent of the COBE detection of fluctuations in the Cosmic Microwave Background radiation, the study of inhomogeneous cosmology has entered a new phase. It is now possible to accurately normalize fluctuations on the largest observable scales, in the linear regime. In this paper we present a model-independent method of normalizing theories to the full COBE data. This technique allows an extremely wide range of theories to be accurately normalized to COBE in a very simple and fast way. We give the best fitting normalization and relative peak likelihoods for a range of spectral shapes, and discuss the normalization for several popular theories. Additionally we present both Bayesian and frequentist measures of the goodness of fit of a representative range of theories to the COBE data.

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 With the advent of the COBE detection of fluctuations in the Cosmic Microwave Background radiation, the study of inhomogeneous cosmology has entered a new phase. background 1.00 0.05 0.03 asserted 1.00
s1 It is now possible to accurately normalize fluctuations on the largest observable scales, in the linear regime. background 0.97 0.10 0.06 hedged possibility 0.51
s2 In this paper we present a model-independent method of normalizing theories to the full COBE data. contribution 0.90 0.94 0.31 asserted 1.00
s3 This technique allows an extremely wide range of theories to be accurately normalized to COBE in a very simple and fast way. contribution 0.60 0.75 0.23 asserted 1.00
s4 We give the best fitting normalization and relative peak likelihoods for a range of spectral shapes, and discuss the normalization for several popular theories. result 0.73 0.95 0.22 asserted 1.00
s5 Additionally we present both Bayesian and frequentist measures of the goodness of fit of a representative range of theories to the COBE data. contribution 0.86 0.94 0.09 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from analysis of existing data 0.99.

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  • T body sentences
  • C citations
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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

With the advent of the COBE detection of fluctuations in the Cosmic Microwave Background radiation, the study of inhomogeneous cosmology has entered a new phase. It is now possible to accurately normalize fluctuations on the largest observable scales, in the linear regime. In this paper we present a model-independent method of normalizing theories to the full COBE data. This technique allows an extremely wide range of theories to be accurately normalized to COBE in a very simple and fast way. We give the best fitting normalization and relative peak likelihoods for a range of spectral shapes, and discuss the normalization for several popular theories. Additionally we present both Bayesian and frequentist measures of the goodness of fit of a representative range of theories to the COBE data.

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References
How the literature uses it

3 arXiv papers cite this in 3 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 · 2 sentences without a confident label

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