Fitting functions on the cheap: The relative nonlinear matter power spectrum

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Fitting functions on the cheap : The relative nonlinear matter power spectrum. / Hannestad, Steen; Wong, Yvonne Y.Y.

In: Journal of Cosmology and Astroparticle Physics, Vol. 2020, No. 3, 028, 03.2020.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Hannestad, S & Wong, YYY 2020, 'Fitting functions on the cheap: The relative nonlinear matter power spectrum', Journal of Cosmology and Astroparticle Physics, vol. 2020, no. 3, 028. https://doi.org/10.1088/1475-7516/2020/03/028

APA

Hannestad, S., & Wong, Y. Y. Y. (2020). Fitting functions on the cheap: The relative nonlinear matter power spectrum. Journal of Cosmology and Astroparticle Physics, 2020(3), [028]. https://doi.org/10.1088/1475-7516/2020/03/028

CBE

Hannestad S, Wong YYY. 2020. Fitting functions on the cheap: The relative nonlinear matter power spectrum. Journal of Cosmology and Astroparticle Physics. 2020(3):Article 028. https://doi.org/10.1088/1475-7516/2020/03/028

MLA

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Hannestad, Steen ; Wong, Yvonne Y.Y. / Fitting functions on the cheap : The relative nonlinear matter power spectrum. In: Journal of Cosmology and Astroparticle Physics. 2020 ; Vol. 2020, No. 3.

Bibtex

@article{c52dc9693e004da382956bdd1df312f0,
title = "Fitting functions on the cheap: The relative nonlinear matter power spectrum",
abstract = "We propose an alternative approach to the construction of fitting functions to the nonlinear matter power spectrum extracted from N-body simulations based on the relative matter power spectrum δ(k,a), defined as the fractional deviation in the absolute matter power spectrum produced by a target cosmology away from a reference ΛCDM prediction. From the computational perspective, δ(k,a) is fairly insensitive to the specifics of the simulation settings, and numerical convergence at the 1%-level can be readily achieved without the need for huge computing capacity. Furthermore, with the wCDM class of models tested, δ(k,a) exhibits several interesting properties that enable a piece-wise construction of the full fitting function, whereby component fitting functions are sought for single-parameter variations and then multiplied together to form the final product. Then, to obtain 1%-accurate absolute power spectrum predictions for any target cosmology only requires that the community as a whole invests in producing one single ultra-precise reference ΛCDM absolute power spectrum, to be combined with the fitting function to produce the desired result. To illustrate the power of this approach, we have constructed the fitting function {\scshape RelFit} using only five relatively inexpensive wCDM simulations (box length L=256 h-1 Mpc, N=10243 particles, initialised at zi=49). In a 6-parameter space spanning {ωm, As,ns,w,ωb, h}, the output relative power spectra of RELFIT are consistent with the predictions of the {\scshape CosmicEmu} emulator to 1% or better for a wide range of cosmologies up to 0k 1/Mpc. Thus, our approach could provide an inexpensive and democratically accessible route to fulfilling the 1%-level accuracy demands of the upcoming generation of large-scale structure probes, especially in the exploration of {"}non-standard{"} or {"}exotic{"} cosmologies on nonlinear scales.",
author = "Steen Hannestad and Wong, {Yvonne Y.Y.}",
year = "2020",
month = mar,
doi = "10.1088/1475-7516/2020/03/028",
language = "English",
volume = "2020",
journal = "Journal of Cosmology and Astroparticle Physics",
issn = "1475-7516",
publisher = "IOP Publishing",
number = "3",

}

RIS

TY - JOUR

T1 - Fitting functions on the cheap

T2 - The relative nonlinear matter power spectrum

AU - Hannestad, Steen

AU - Wong, Yvonne Y.Y.

PY - 2020/3

Y1 - 2020/3

N2 - We propose an alternative approach to the construction of fitting functions to the nonlinear matter power spectrum extracted from N-body simulations based on the relative matter power spectrum δ(k,a), defined as the fractional deviation in the absolute matter power spectrum produced by a target cosmology away from a reference ΛCDM prediction. From the computational perspective, δ(k,a) is fairly insensitive to the specifics of the simulation settings, and numerical convergence at the 1%-level can be readily achieved without the need for huge computing capacity. Furthermore, with the wCDM class of models tested, δ(k,a) exhibits several interesting properties that enable a piece-wise construction of the full fitting function, whereby component fitting functions are sought for single-parameter variations and then multiplied together to form the final product. Then, to obtain 1%-accurate absolute power spectrum predictions for any target cosmology only requires that the community as a whole invests in producing one single ultra-precise reference ΛCDM absolute power spectrum, to be combined with the fitting function to produce the desired result. To illustrate the power of this approach, we have constructed the fitting function {\scshape RelFit} using only five relatively inexpensive wCDM simulations (box length L=256 h-1 Mpc, N=10243 particles, initialised at zi=49). In a 6-parameter space spanning {ωm, As,ns,w,ωb, h}, the output relative power spectra of RELFIT are consistent with the predictions of the {\scshape CosmicEmu} emulator to 1% or better for a wide range of cosmologies up to 0k 1/Mpc. Thus, our approach could provide an inexpensive and democratically accessible route to fulfilling the 1%-level accuracy demands of the upcoming generation of large-scale structure probes, especially in the exploration of "non-standard" or "exotic" cosmologies on nonlinear scales.

AB - We propose an alternative approach to the construction of fitting functions to the nonlinear matter power spectrum extracted from N-body simulations based on the relative matter power spectrum δ(k,a), defined as the fractional deviation in the absolute matter power spectrum produced by a target cosmology away from a reference ΛCDM prediction. From the computational perspective, δ(k,a) is fairly insensitive to the specifics of the simulation settings, and numerical convergence at the 1%-level can be readily achieved without the need for huge computing capacity. Furthermore, with the wCDM class of models tested, δ(k,a) exhibits several interesting properties that enable a piece-wise construction of the full fitting function, whereby component fitting functions are sought for single-parameter variations and then multiplied together to form the final product. Then, to obtain 1%-accurate absolute power spectrum predictions for any target cosmology only requires that the community as a whole invests in producing one single ultra-precise reference ΛCDM absolute power spectrum, to be combined with the fitting function to produce the desired result. To illustrate the power of this approach, we have constructed the fitting function {\scshape RelFit} using only five relatively inexpensive wCDM simulations (box length L=256 h-1 Mpc, N=10243 particles, initialised at zi=49). In a 6-parameter space spanning {ωm, As,ns,w,ωb, h}, the output relative power spectra of RELFIT are consistent with the predictions of the {\scshape CosmicEmu} emulator to 1% or better for a wide range of cosmologies up to 0k 1/Mpc. Thus, our approach could provide an inexpensive and democratically accessible route to fulfilling the 1%-level accuracy demands of the upcoming generation of large-scale structure probes, especially in the exploration of "non-standard" or "exotic" cosmologies on nonlinear scales.

UR - http://www.scopus.com/inward/record.url?scp=85084213129&partnerID=8YFLogxK

U2 - 10.1088/1475-7516/2020/03/028

DO - 10.1088/1475-7516/2020/03/028

M3 - Journal article

AN - SCOPUS:85084213129

VL - 2020

JO - Journal of Cosmology and Astroparticle Physics

JF - Journal of Cosmology and Astroparticle Physics

SN - 1475-7516

IS - 3

M1 - 028

ER -