Building a digital twin of a luminous red galaxy spectroscopic survey: galaxy properties and clustering covariance

Hernández‐Aguayo, César; Prada, Francisco; Baugh, C. M.; Klypin, Anatoly

doi:10.1093/mnras/stab434

Cited by 16 publications

(16 citation statements)

References 101 publications

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“…Finally, before concluding this section, it is worthwhile to mention that, at the simulation resolution used here, we can already get the HMF complete down to 10 12.5 h −1 M , as shown in [103,150].…”

Section: Halo Mass Functionsmentioning

confidence: 68%

Fast full $N$-body simulations of generic modified gravity: derivative coupling models

Hernández-Aguayo,

Ruan,

et al. 2021

Preprint

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We present MG-GLAM, a code developed for the very fast production of full N -body cosmological simulations in modified gravity (MG) models. We describe the implementation, numerical tests and first results of a large suite of cosmological simulations for two broad classes of MG models with derivative coupling terms-the Vainshteinand Kmouflage-type models-which respectively features the Vainshtein and Kmouflage screening mechanism. Derived from the parallel particle-mesh code GLAM, MG-GLAM incorporates an efficient multigrid relaxation technique to solve the characteristic nonlinear partial differential equations of these models. For Kmouflage, we have proposed a new algorithm for the relaxation solver, and run the first simulations of the model to understand its cosmological behaviour. In a companion paper, we describe versions of this code developed for conformally-coupled MG models, including several variants of f (R) gravity, the symmetron model and coupled quintessence. Altogether, MG-GLAM has so far implemented the prototypes for most MG models of interest, and is broad and versatile. The code is highly optimised, with a tremendous (over two orders of magnitude) speedup when comparing its running time with earlier N -body codes, while still giving accurate predictions of the matter power spectrum and dark matter halo abundance. MG-GLAM is ideal for the generation of large numbers of MG simulations that can be used in the construction of mock galaxy catalogues and accurate emulators for ongoing and future galaxy surveys.

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Section: Halo Mass Functionsmentioning

confidence: 68%

Fast full $N$-body simulations of generic modified gravity: derivative coupling models

Hernández-Aguayo,

Ruan,

et al. 2021

Preprint

Self Cite

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“…e purpose of optimization through digital twinning is to make the obtained output image similar to the input image R [13]; the edge and texture should be the same as the denoised image Q, and the optimized image should be output, defined as P. e digital twin technology is used to perceive the full element and full state digital information of image texture features [14], to optimize the full element and full state features of actual images, and to construct the digital twin image texture feature model in combination with the three-tier architecture design to realize the image texture feature information management [15]. e overall structure of the image texture feature model based on the digital twin is obtained, as shown in Figure 1.…”

Section: Digital Twin Optimization Of Imagesmentioning

confidence: 99%

Research on Image Texture Feature Extraction Based on Digital Twin

2022

Mathematical Problems in Engineering

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The purpose of image smoothing is to improve the visual effect of the image and improve the clarity of the image, so as to make the image more conducive to computer processing and various feature analysis. Because the current technology fails to smooth the preprocessed image, it leads to the extraction of image texture features. The anti-interference performance is weak. For this reason, an image texture feature extraction technology based on the digital twin is proposed. Similarity analysis is carried out through the internal structure of the image, and the image is smoothed by the semisupervised learning method. On the basis of optimizing the denoised image through digital twinning, detect target feature points in the original image, then remove the abnormal and split feature points, assign the direction of image texture feature points, and build a fuzzy back propagation neural network model. Image texture feature extraction technology is implemented. The experimental results show that, compared with the traditional method, the proposed technique has a strong identification of original image features, and has a strong consistency with original data, and has a strong ability to resist the influence of abnormal data, noise, or redundant feature points.

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“…Also, many copies of the low resolution simulation could be run using an approximate simulation method to generate many realisations of halo samples for error estimation. Examples of both these use cases can be found in Hernández-Aguayo et al (2021). By extending the usable halo catalogue derived from the low resolution run down to lower masses, significant computational resources can be saved.…”

Section: Extending the Resolution Of The Simulated Halo Cataloguementioning

confidence: 99%

Making use of sub-resolution halos in N-body simulations

Armijo,

Baugh,

Padilla

et al. 2021

Preprint

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Conservative mass limits are often imposed on the dark matter halo catalogues extracted from N-body simulations. By comparing simulations with different mass resolutions, at 𝑧 = 0 we find that even for halos resolved by 100 particles, the lower resolution simulation predicts a cumulative halo abundance that is 5 per cent lower than in the higher resolution simulation. We propose a simple weighting scheme to utilise the halos that are usually regarded as being 'sub-resolution'. With the scheme, we are able to use halos which contain only 11 particles to reproduce the clustering measured in the higher resolution simulation to within 5 per cent on scales down to 2ℎ −1 Mpc, thereby extending the useful halo resolution by a factor of ten below the mass at which the mass functions in the two simulations first start to deviate. The performance of the method is slightly worse at higher redshift. Our method allows a simulation to be used to probe a wider parameter space in clustering studies, for example, in a halo occupation distribution analysis. This reduces the cost of generating many simulations to estimate the covariance matrix on measurements or using a larger volume simulation to make large-scale clustering predictions.

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Building a digital twin of a luminous red galaxy spectroscopic survey: galaxy properties and clustering covariance

Cited by 16 publications

References 101 publications

Fast full $N$-body simulations of generic modified gravity: derivative coupling models

Fast full $N$-body simulations of generic modified gravity: derivative coupling models

Research on Image Texture Feature Extraction Based on Digital Twin

Making use of sub-resolution halos in N-body simulations

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