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Cosmology and Nongalactic Astrophysics · arXiv:1003.0456 v2 · submitted 1 Mar 2010

Cosmological Parameters Degeneracies and Non-Gaussian Halo Bias

Carmelita Carbone, Olga Mena, Licia Verde

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“Thus the $f_{\rm NL}$ constraint is remarkable robust to cosmological model uncertainties.”

from the abstract · picked out as the main claim by a classifier

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The paper

Abstract

We study the impact of the cosmological parameters uncertainties on the measurements of primordial non-Gaussianity through the large-scale non-Gaussian halo bias effect. While this is not expected to be an issue for the standard LCDM model, it may not be the case for more general models that modify the large-scale shape of the power spectrum. We consider the so-called local non-Gaussianity model and forecasts from planned surveys, alone and combined with a Planck CMB prior. In particular, we consider EUCLID- and LSST-like surveys and forecast the correlations among $f_{\rm NL}$ and the running of the spectral index αs, the dark energy equation of state w, the effective sound speed of dark energy perturbations c2s, the total mass of massive neutrinos Mν = ∑mν, and the number of extra relativistic degrees of freedom Nνrel. Neglecting CMB information on $f_{\rm NL}$ and scales k > 0.03h/Mpc, we find that, if $N_\nu^{\rm rel}$ is assumed to be known, the uncertainty on cosmological parameters increases the error on $f_{\rm NL}$ by 10 to 30% depending on the survey. Thus the $f_{\rm NL}$ constraint is remarkable robust to cosmological model uncertainties. On the other hand, if $N_\nu^{\rm rel}$ is simultaneously constrained from the data, the $f_{\rm NL}$ error increases by $\sim 80%$. Finally, future surveys which provide a large sample of galaxies or galaxy clusters over a volume comparable to the Hubble volume can measure primordial non-Gaussianity of the local form with a marginalized 1–σ error of the order $\Delta f_{\rm NL} \sim 2-5$, after combination with CMB priors for the remaining cosmological parameters. These results are competitive with CMB bispectrum constraints achievable with an ideal CMB experiment.

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

How the main claim is stated: asserted 1.00

What the abstract itself states, as probabilities: claims first 0.02 · states limitation 0.76 · human participants 0.01 · controlled comparison 0.19 · randomized assignment 0.01 · states quantitative result 0.99 · compares with prior results 0.91 · mentions code or data availability 0.02

The abstract, sentence by sentence

This table labels the abstract only (arXiv listing abstract v2). The number is the probability the classifier gave the label.

SentenceRoleThe authors' own workStates the main conclusionStrength
We study the impact of the cosmological parameters uncertainties on the measurements of primordial non-Gaussianity through the large-scale non-Gaussian halo bias effect. contribution 0.98 0.81 0.05 asserted 0.80
While this is not expected to be an issue for the standard LCDM model, it may not be the case for more general models that modify the large-scale shape of the power spectrum. background 0.89 0.07 0.04 hedged possibility 0.96
We consider the so-called local non-Gaussianity model and forecasts from planned surveys, alone and combined with a Planck CMB prior. method 0.90 0.75 0.03 asserted 0.91
In particular, we consider EUCLID- and LSST-like surveys and forecast the correlations among $f_{\rm NL}$ and the running of the spectral index $\alpha_s$, the dark energy equation of state $w$, the effective sound speed of dark energy perturbations $c^2_s$, the total mass of massive neutrinos $M_\nu=\sum m_\nu$, and the number of extra relativistic degrees of freedom $N_\nu^{rel}$. method 0.81 0.80 0.04 asserted 0.90
Neglecting CMB information on $f_{\rm NL}$ and scales $k > 0.03 h$/Mpc, we find that, if $N_\nu^{\rm rel}$ is assumed to be known, the uncertainty on cosmological parameters increases the error on $f_{\rm NL}$ by 10 to 30% depending on the survey. result 1.00 0.95 0.16 asserted 1.00
Thus the $f_{\rm NL}$ constraint is remarkable robust to cosmological model uncertainties. interpretation 0.89 0.80 0.34 asserted 1.00
On the other hand, if $N_\nu^{\rm rel}$ is simultaneously constrained from the data, the $f_{\rm NL}$ error increases by $\sim 80%$. result 1.00 0.91 0.14 asserted 1.00
Finally, future surveys which provide a large sample of galaxies or galaxy clusters over a volume comparable to the Hubble volume can measure primordial non-Gaussianity of the local form with a marginalized 1--$\sigma$ error of the order $\Delta f_{\rm NL} \sim 2-5$, after combination with CMB priors for the remaining cosmological parameters. result 1.00 0.86 0.34 asserted 0.76
These results are competitive with CMB bispectrum constraints achievable with an ideal CMB experiment. interpretation 0.87 0.70 0.16 asserted 0.97

What kind of paper the classifier reports this is: simulation study 0.59 · evidence from simulation or computation 0.97

What was examined, and what was not

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  • arXiv listing abstract v2

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How the labels were made

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 7,318 input tokens, $0.0003 reported.

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. This record as JSON

Cited by 12 Pith papers
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18 arXiv papers cite this in 28 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 · 22 sentences without a confident label

Builds on it 1 paper
Uses its data or values 1 paper
  • Future full-sky galaxy surveys might achieve an accuracy of $Δf^local_NL ∼1-5$ (68% CL) [ref] and Planck is expected to achieve $Δτ^local_NL ∼560$ (95% CL) [ref] .

    Optimizing future experimental probes of inflation · Non-Gaussianity · 0.83

Cites it as support 1 paper
Cites it as background 3 papers

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