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Statistical properties of filaments in the cosmic web

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arxiv 2408.03083 v1 pith:WMUL6ZP7 submitted 2024-08-06 astro-ph.CO astro-ph.GA

Statistical properties of filaments in the cosmic web

classification astro-ph.CO astro-ph.GA
keywords filamentscosmicdensityfilamentincreaselambdalengthsprofiles
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In the context of the cosmological and constrained ELUCID simulation, this study explores the statistical characteristics of filaments within the cosmic web, focussing on aspects such as the distribution of filament lengths and their radial density profiles. Using the classification of the cosmic web environment through the Hessian matrix of the density field, our primary focus is on how cosmic structures react to the two variables $R_{\rm s}$ and $\lambda_{\rm th}$. The findings show that the volume fractions of knots, filaments, sheets, and voids are highly influenced by the threshold parameter $\lambda_{\rm th}$, with only a slight influence from the smoothing length $R_{\rm s}$. The central axis of the cylindrical filament is pinpointed using the medial-axis thinning algorithm of the COWS method. It is observed that median filament lengths tend to increase as the smoothing lengths increase. Analysis of filament length functions at different values of $R_{\rm s}$ indicates a reduction in shorter filaments and an increase in longer filaments as $R_{\rm s}$ increases, peaking around $2.5R_{\rm s}$. The study also shows that the radial density profiles of filaments are markedly affected by the parameters $R_{\rm s}$ and $\lambda_{\rm th}$, showing a valley at approximately $2R_{\rm s}$, with increases in the threshold leading to higher amplitudes of the density profile. Moreover, shorter filaments tend to have denser profiles than their longer counterparts.

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Cited by 1 Pith paper

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  1. Enabling Cosmic Web Analysis at Gigaparsec Scales: A Multi Block Approach for DisPerSE

    astro-ph.GA 2026-07 conditional novelty 7.0

    A circumsphere-filtered, block-wise 'frozen-core' tiling lets DisPerSE map filaments at gigaparsec scales, yielding a 92-million-halo filament catalogue and a mass-connectivity power law A≈0.27-0.32.