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Large--Scale Angular Correlations in CDM Models

Astrophysics · Submitted 23 Feb 1993

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

The authors' main claim Such models are therefore in principle capable of reconciling the lack of large--scale power of the CDM spectrum with the observed clustering of APM galaxies.

how it is stated · hedged possibility 0.98 read the record →

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arXiv IDastro-ph/9302012 (version 1)
Pith IDTXMWMKLB, Pith's permanent record of this paper and its review
CitationA.Messina, F.Lucchin, L.Moscardini, P.Coles, S.Borgani, S.Matarrese. "Large--Scale Angular Correlations in CDM Models." arXiv:astro-ph/9302012 (1993). https://pith.science/paper/TXMWMKLB
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What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.25 · human participants 0.01 · controlled comparison 0.32 · randomized assignment 0.01 · states quantitative result 0.09 · compares with prior results 0.92 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We generate artificial Lick maps using $N$--body simulations and compare the angular correlation function, $w(\vartheta)$, measured from the simulations with the APM correlation. For the Gaussian CDM model, neither the standard biassed model nor a more evolved model (as suggested by the COBE data), reproduce the correlations on large angular scales. We come to a similar conclusion about CDM models with positively skewed initial fluctuation distributions. In contrast, models with initially negatively skewed fluctuations produce a $w(\vartheta)$ that declines much more gently on large scales. Such models are therefore in principle capable of reconciling the lack of large--scale power of the CDM spectrum with the observed clustering of APM galaxies.

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 We generate artificial Lick maps using $N$--body simulations and compare the angular correlation function, $w(\vartheta)$, measured from the simulations with the APM correlation. method 0.94 0.95 0.03 asserted 0.96
s1 For the Gaussian CDM model, neither the standard biassed model nor a more evolved model (as suggested by the COBE data), reproduce the correlations on large angular scales. result 1.00 0.83 0.26 asserted 1.00
s2 We come to a similar conclusion about CDM models with positively skewed initial fluctuation distributions. result 1.00 0.82 0.09 asserted 1.00
s3 In contrast, models with initially negatively skewed fluctuations produce a $w(\vartheta)$ that declines much more gently on large scales. result 1.00 0.85 0.21 asserted 1.00
s4 Such models are therefore in principle capable of reconciling the lack of large--scale power of the CDM spectrum with the observed clustering of APM galaxies. interpretation 1.00 0.66 0.71 hedged possibility 0.98

What kind of paper the classifier reports this is: simulation study 1.00 · evidence from simulation or computation 1.00.

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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

We generate artificial Lick maps using $N$--body simulations and compare the angular correlation function, $w(\vartheta)$, measured from the simulations with the APM correlation. For the Gaussian CDM model, neither the standard biassed model nor a more evolved model (as suggested by the COBE data), reproduce the correlations on large angular scales. We come to a similar conclusion about CDM models with positively skewed initial fluctuation distributions. In contrast, models with initially negatively skewed fluctuations produce a $w(\vartheta)$ that declines much more gently on large scales. Such models are therefore in principle capable of reconciling the lack of large--scale power of the CDM spectrum with the observed clustering of APM galaxies.

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