Cutting corners: Hypersphere sampling as a new standard for cosmological emulators

Fuente: arXiv
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Autores principales: Nygaard, Andreas, Holm, Emil Brinch, Hannestad, Steen, Tram, Thomas
Formato: Preprint
Publicado: 2024
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author Nygaard, Andreas
Holm, Emil Brinch
Hannestad, Steen
Tram, Thomas
author_facet Nygaard, Andreas
Holm, Emil Brinch
Hannestad, Steen
Tram, Thomas
contents Cosmological emulators of observables such as the Cosmic Microwave Background (CMB) spectra and matter power spectra commonly use training data sampled from a Latin hypercube. This method often incurs high computational costs by covering less relevant parts of the parameter space, especially in high dimensions where only a small fraction of the parameter space yields a significant likelihood. In this paper, we introduce hypersphere sampling, which instead concentrates sample points in regions with higher likelihoods, significantly enhancing the efficiency and accuracy of emulators. A novel algorithm for sampling within a high-dimensional hyperellipsoid aligned with axes of correlation in the cosmological parameters is presented. This method focuses the distribution of training data points on areas of the parameter space that are most relevant to the models being tested, thereby avoiding the computational redundancies common in Latin hypercube approaches. Comparative analysis using the \textsc{connect} emulation tool demonstrates that hypersphere sampling can achieve similar or improved emulation precision with more than an order of magnitude fewer data points and thus less computational effort than traditional methods. This was tested for both the $Λ$CDM model and a 5-parameter extension including Early Dark Energy, massive neutrinos, and additional ultra-relativistic degrees of freedom. Our results suggest that hypersphere sampling holds potential as a more efficient approach for cosmological emulation, particularly suitable for complex, high-dimensional models.
format Preprint
id arxiv_https___arxiv_org_abs_2405_01396
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Cutting corners: Hypersphere sampling as a new standard for cosmological emulators
Nygaard, Andreas
Holm, Emil Brinch
Hannestad, Steen
Tram, Thomas
Cosmology and Nongalactic Astrophysics
Instrumentation and Methods for Astrophysics
High Energy Physics - Phenomenology
Cosmological emulators of observables such as the Cosmic Microwave Background (CMB) spectra and matter power spectra commonly use training data sampled from a Latin hypercube. This method often incurs high computational costs by covering less relevant parts of the parameter space, especially in high dimensions where only a small fraction of the parameter space yields a significant likelihood. In this paper, we introduce hypersphere sampling, which instead concentrates sample points in regions with higher likelihoods, significantly enhancing the efficiency and accuracy of emulators. A novel algorithm for sampling within a high-dimensional hyperellipsoid aligned with axes of correlation in the cosmological parameters is presented. This method focuses the distribution of training data points on areas of the parameter space that are most relevant to the models being tested, thereby avoiding the computational redundancies common in Latin hypercube approaches. Comparative analysis using the \textsc{connect} emulation tool demonstrates that hypersphere sampling can achieve similar or improved emulation precision with more than an order of magnitude fewer data points and thus less computational effort than traditional methods. This was tested for both the $Λ$CDM model and a 5-parameter extension including Early Dark Energy, massive neutrinos, and additional ultra-relativistic degrees of freedom. Our results suggest that hypersphere sampling holds potential as a more efficient approach for cosmological emulation, particularly suitable for complex, high-dimensional models.
title Cutting corners: Hypersphere sampling as a new standard for cosmological emulators
topic Cosmology and Nongalactic Astrophysics
Instrumentation and Methods for Astrophysics
High Energy Physics - Phenomenology
url https://arxiv.org/abs/2405.01396