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Precise Cosmological Constraints from BOSS Galaxy Clustering with a Simulation-Based Emulator of the Wavelet Scattering Transform
by
Yuan, Sihan
, Valogiannis, Georgios
, Dvorkin, Cora
in
Clustering
/ Correlation
/ Emulators
/ Galaxy distribution
/ Multipoles
/ Neural networks
/ Parameters
/ Red shift
/ Scattering
/ Simulation
2024
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Precise Cosmological Constraints from BOSS Galaxy Clustering with a Simulation-Based Emulator of the Wavelet Scattering Transform
by
Yuan, Sihan
, Valogiannis, Georgios
, Dvorkin, Cora
in
Clustering
/ Correlation
/ Emulators
/ Galaxy distribution
/ Multipoles
/ Neural networks
/ Parameters
/ Red shift
/ Scattering
/ Simulation
2024
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Do you wish to request the book?
Precise Cosmological Constraints from BOSS Galaxy Clustering with a Simulation-Based Emulator of the Wavelet Scattering Transform
by
Yuan, Sihan
, Valogiannis, Georgios
, Dvorkin, Cora
in
Clustering
/ Correlation
/ Emulators
/ Galaxy distribution
/ Multipoles
/ Neural networks
/ Parameters
/ Red shift
/ Scattering
/ Simulation
2024
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Precise Cosmological Constraints from BOSS Galaxy Clustering with a Simulation-Based Emulator of the Wavelet Scattering Transform
Paper
Precise Cosmological Constraints from BOSS Galaxy Clustering with a Simulation-Based Emulator of the Wavelet Scattering Transform
2024
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Overview
We perform a reanalysis of the BOSS CMASS DR12 galaxy dataset using a simulation-based emulator for the Wavelet Scattering Transform (WST) coefficients. Moving beyond our previous works, which laid the foundation for the first galaxy clustering application of this estimator, we construct a neural net-based emulator for the cosmological dependence of the WST coefficients and the 2-point correlation function multipoles, trained from the state-of-the-art suite of \\textsc{AbacusSummit} simulations combined with a flexible Halo Occupation Distribution (HOD) galaxy model. In order to confirm the accuracy of our pipeline, we subject it to a series of thorough internal and external mock parameter recovery tests, before applying it to reanalyze the CMASS observations in the redshift range \\(0.46
Publisher
Cornell University Library, arXiv.org
Subject
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