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Fisher matrix for multiple tracers: model independent constraints on the redshift distortion parameter

Cosmology and Nongalactic Astrophysics · Submitted 1 Apr 2019

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

The authors' main claim We show how to obtain constraints on $\beta=f/b$, the ratio of the matter growth rate and the bias that quantifies the linear redshift-space distortions, that are independent of the cosmological model, using multiple tracers of large-scale structure.

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arXiv ID1904.00673 (version 2)
Pith IDIRKX7PKP, Pith's permanent record of this paper and its review
CitationL. Raul Abramo, Luca Amendola. "Fisher matrix for multiple tracers: model independent constraints on the redshift distortion parameter." arXiv:1904.00673 (2019). https://pith.science/paper/IRKX7PKP
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,473 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.32 · human participants 0.01 · controlled comparison 0.07 · randomized assignment 0.01 · states quantitative result 0.18 · compares with prior results 0.74 · mentions code or data availability 0.02.

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arXiv listing abstract v2. Results and the main claim are underlined; .

We show how to obtain constraints on $\beta=f/b$, the ratio of the matter growth rate and the bias that quantifies the linear redshift-space distortions, that are independent of the cosmological model, using multiple tracers of large-scale structure. For a single tracer the uncertainties on $\beta$ are constrained by the uncertainties in the amplitude and shape of the power spectrum, which is limited by cosmic variance. However, for two or more tracers this limit does not apply, since taking the ratio of power spectra cosmic variance cancels out, and in the linear (Kaiser) approximation one measures directly the quantity $(1+ \beta_1 \mu^2)^2/(1+ \beta_2 \mu^2)^2$, where $\mu$ is the angle of a given mode with the line of sight. We provide analytic formulae for the Fisher matrix for one and two tracers, and quantify the signal-to-noise ratio needed to make effective use of the multiple-tracer technique. We also forecast the errors on $\beta$ for a survey like Euclid.

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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 show how to obtain constraints on $\beta=f/b$, the ratio of the matter growth rate and the bias that quantifies the linear redshift-space distortions, that are independent of the cosmological model, using multiple tracers of large-scale structure. contribution 1.00 0.93 0.82 asserted 1.00
s1 For a single tracer the uncertainties on $\beta$ are constrained by the uncertainties in the amplitude and shape of the power spectrum, which is limited by cosmic variance. background 0.98 0.10 0.04 asserted 1.00
s2 However, for two or more tracers this limit does not apply, since taking the ratio of power spectra cosmic variance cancels out, and in the linear (Kaiser) approximation one measures directly the quantity $(1+ \beta_1 \mu^2)^2/(1+ \beta_2 \mu^2)^2$, where $\mu$ is the angle of a given mode with the line of sight. method 0.74 0.25 0.36 asserted 1.00
s3 We provide analytic formulae for the Fisher matrix for one and two tracers, and quantify the signal-to-noise ratio needed to make effective use of the multiple-tracer technique. contribution 0.93 0.96 0.12 asserted 1.00
s4 We also forecast the errors on $\beta$ for a survey like Euclid. contribution 0.72 0.91 0.08 asserted 0.84

What kind of paper the classifier reports this is: method or tool 0.51 · evidence from proof or derivation 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 show how to obtain constraints on $\beta=f/b$, the ratio of the matter growth rate and the bias that quantifies the linear redshift-space distortions, that are independent of the cosmological model, using multiple tracers of large-scale structure. For a single tracer the uncertainties on $\beta$ are constrained by the uncertainties in the amplitude and shape of the power spectrum, which is limited by cosmic variance. However, for two or more tracers this limit does not apply, since taking the ratio of power spectra cosmic variance cancels out, and in the linear (Kaiser) approximation one measures directly the quantity $(1+ \beta_1 \mu^2)^2/(1+ \beta_2 \mu^2)^2$, where $\mu$ is the angle of a given mode with the line of sight. We provide analytic formulae for the Fisher matrix for one and two tracers, and quantify the signal-to-noise ratio needed to make effective use of the multiple-tracer technique. We also forecast the errors on $\beta$ for a survey like Euclid.

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2 arXiv papers cite this in 2 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

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  • Considerable effort has been applied to exploit information from multiple tracers with the goal of measuring RSD, including: improving power spectrum estimators [ref] ; exploring the parameter space to better constrain the growth rate [ref] ; and adding further velocity corrections [ref] .

    Constraining the growth rate by combining multiple future surveys · Introduction · 0.87

What it cites · 3 sentences without a confident label

Cites as background 1 paper
  • This quantity enters the linear galaxy power spectrum in the so-called Kaiser term [ref] , which converts the real-space spectrum $P^(x)(k) = b^2 P_m (k)$ ($P_m$ is the matter power spectrum) into its observed, redshift-space version, $P^(z)(k,μ) = (1+ βμ^2)^2 P^(x) (k)$, where the angle of the Fourier mode $k⃗$ with the line of sight $r̂$ is encoded in $μ= r̂ ·k̂$ — [ref] , see [ref] for a review.

    Linear Redshift Distortions: A Review · Introduction · 0.98

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