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Efficient exploration of cosmology dependence in the EFT of LSS

Cosmology and Nongalactic Astrophysics · Submitted 11 Jun 2016

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

The authors' main claim When applied to cosmologies that are within 3$\sigma$ of the Planck best-fit model, the first method evaluates the power spectrum in a few minutes on a laptop, with results that have 1\% or better precision, while with the Taylor expansion the same quantity is instantly generated with similar precision.

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arXiv ID1606.03633 (version 2)
Pith IDMUMOYYU3, Pith's permanent record of this paper and its review
CitationLeonardo Senatore, Matteo Cataneo, Simon Foreman. "Efficient exploration of cosmology dependence in the EFT of LSS." arXiv:1606.03633 (2016). https://pith.science/paper/MUMOYYU3
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What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.75 · human participants 0.01 · controlled comparison 0.20 · randomized assignment 0.01 · states quantitative result 0.96 · compares with prior results 0.43 · mentions code or data availability 0.97.

The abstract, sentence by sentence

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

The most effective use of data from current and upcoming large scale structure~(LSS) and CMB observations requires the ability to predict the clustering of LSS with very high precision. The Effective Field Theory of Large Scale Structure (EFTofLSS) provides an instrument for performing analytical computations of LSS observables with the required precision in the mildly nonlinear regime. In this paper, we develop efficient implementations of these computations that allow for an exploration of their dependence on cosmological parameters. They are based on two ideas. First, once an observable has been computed with high precision for a reference cosmology, for a new cosmology the same can be easily obtained with comparable precision just by adding the difference in that observable, evaluated with much less precision. Second, most cosmologies of interest are sufficiently close to the Planck best-fit cosmology that observables can be obtained from a Taylor expansion around the reference cosmology. These ideas are implemented for the matter power spectrum at two loops and are released as public codes. When applied to cosmologies that are within 3$\sigma$ of the Planck best-fit model, the first method evaluates the power spectrum in a few minutes on a laptop, with results that have 1\% or better precision, while with the Taylor expansion the same quantity is instantly generated with similar precision. The ideas and codes we present may easily be extended for other applications or higher-precision results.

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 The most effective use of data from current and upcoming large scale structure~(LSS) and CMB observations requires the ability to predict the clustering of LSS with very high precision. background 1.00 0.06 0.03 asserted 1.00
s1 The Effective Field Theory of Large Scale Structure (EFTofLSS) provides an instrument for performing analytical computations of LSS observables with the required precision in the mildly nonlinear regime. background 0.99 0.07 0.03 asserted 1.00
s2 In this paper, we develop efficient implementations of these computations that allow for an exploration of their dependence on cosmological parameters. contribution 1.00 0.95 0.15 asserted 1.00
s3 They are based on two ideas. method 0.90 0.34 0.02 asserted 0.77
s4 First, once an observable has been computed with high precision for a reference cosmology, for a new cosmology the same can be easily obtained with comparable precision just by adding the difference in that observable, evaluated with much less precision. method 0.98 0.59 0.12 asserted 0.94
s5 Second, most cosmologies of interest are sufficiently close to the Planck best-fit cosmology that observables can be obtained from a Taylor expansion around the reference cosmology. method 0.96 0.26 0.07 asserted 0.77
s6 These ideas are implemented for the matter power spectrum at two loops and are released as public codes. contribution 0.92 0.94 0.14 asserted 1.00
s7 When applied to cosmologies that are within 3$\sigma$ of the Planck best-fit model, the first method evaluates the power spectrum in a few minutes on a laptop, with results that have 1\% or better precision, while with the Taylor expansion the same quantity is instantly generated with similar precision. result 1.00 0.94 0.45 asserted 1.00
s8 The ideas and codes we present may easily be extended for other applications or higher-precision results. future work 0.97 0.34 0.12 hedged possibility 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from simulation or computation 0.97.

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The paper
Original abstract

The most effective use of data from current and upcoming large scale structure~(LSS) and CMB observations requires the ability to predict the clustering of LSS with very high precision. The Effective Field Theory of Large Scale Structure (EFTofLSS) provides an instrument for performing analytical computations of LSS observables with the required precision in the mildly nonlinear regime. In this paper, we develop efficient implementations of these computations that allow for an exploration of their dependence on cosmological parameters. They are based on two ideas. First, once an observable has been computed with high precision for a reference cosmology, for a new cosmology the same can be easily obtained with comparable precision just by adding the difference in that observable, evaluated with much less precision. Second, most cosmologies of interest are sufficiently close to the Planck best-fit cosmology that observables can be obtained from a Taylor expansion around the reference cosmology. These ideas are implemented for the matter power spectrum at two loops and are released as public codes. When applied to cosmologies that are within 3$\sigma$ of the Planck best-fit model, the first method evaluates the power spectrum in a few minutes on a laptop, with results that have 1\% or better precision, while with the Taylor expansion the same quantity is instantly generated with similar precision. The ideas and codes we present may easily be extended for other applications or higher-precision results.

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References
How the literature uses it

30 arXiv papers cite this in 48 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 · 15 sentences without a confident label

Uses its method or tool 6 papers
Compares with it 2 papers
Cites it as background 22 papers
  • This very objective, restricted to the context of analytic predictions, is approached by the research program called the Effective Field Theory of Large-Scale Structure (EFTofLSS) [ref] : the idea is to study LSS in the mildly non-linear regime by correctly describing the effect of ultraviolet (UV) modes on long-wavelength observables.

    Baryonic effects in the Effective Field Theory of Large-Scale Structure and an analytic recipe for lensing in CMB-S4 · Introduction · 0.83

  • While in the last couple of decades numerical simulations have been the main tool to predict the clustering of large scale structures, in the last few years the advent of the so-called Effective Field Theory of Large Scale Structures (EFTofLSS) [ref] has allowed the development of an analytic approach that is able to predict the Large Scale Structure (LSS) correlation functions with exquisite precision in the so-called mildly non-linear regime, where density fluctuations are still safely smaller than one [ref] .

    Very Massive Tracers and Higher Derivative Biases · Introduction and main ideas · 0.90

  • In recent years, a large activity has occurred in this small field, see for example [ref] .

    An effective description of dark matter and dark energy in the mildly non-linear regime · Introduction · 0.83

What it cites · 93 sentences without a confident label

Uses the method or tool of 14 papers
  • In a separate step, the output files from , along with $Ω_m$ and desired redshift, are then used as input for the IR-resummation code [], also released with this work. implements the IR-resummation technique developed in [ref] to incorporate the leading effect of large-scale displacements on the perturbative predictions of the EFTofLSS.

    The IR-resummed Effective Field Theory of Large Scale Structures · ResumEFT · 0.99

  • In a separate step, the output files from , along with $Ω_m$ and desired redshift, are then used as input for the IR-resummation code [], also released with this work. implements the IR-resummation technique developed in [ref] to incorporate the leading effect of large-scale displacements on the perturbative predictions of the EFTofLSS.

    The One-Loop Matter Bispectrum in the Effective Field Theory of Large Scale Structures · ResumEFT · 0.99

  • Similarly to [ref] , in this work we express the EFTofLSS parameters $c_s(1)^2$, $c_1$ in units of $(k_NL/2 hMpc^-1)^2$ and $c_4$ in units of $(k_NL/2 hMpc^-1)^4$, and determine $c_s(2)^2$ by matching the one-loop and two-loop EFTofLSS matter power spectrum at the renormalization scale $k_ren = 0.02$.

    Precision Comparison of the Power Spectrum in the EFTofLSS with Simulations · The two-loop power spectrum · 0.96

Uses data or values from 1 paper
  • More formally, the point $θ$ defines an $nσ$-cosmology if it is contained in a thin shell around the 5-dimensional hyper-ellipsoid defined by [equation] Here, $Σ_5^-1$ represents the inverse of the $5 ×5$ covariance submatrix obtained by selecting the appropriate rows and columns from the covariance matrix for the combination “TT+TE+EE+lowP” in [ref] , giving a reasonable account for the covariances between our 5 chosen parameters when all others are marginalized over [For easy reference, $1σ$ marginalized uncertainties on each parameter from Eq. [ref] are given below: [equation] ]: [equation] In Eq. [ref], $χ_5^2(p)$ is the quantile function for probability $p$ of the chi-squared distribution with 5 degrees of freedom.

    Planck 2015 results. XIII. Cosmological parameters · Tests and performance · 0.95

Compares with 1 paper
Cites as background 29 papers

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