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- W3092335162 abstract "In this work, we identify and analyse the properties of cluster-cluster filaments within a cosmological simulation assuming that they are structures connecting maxima of the density field defined by dark matter halos with masses $M , ge 10^{14}, h^{-1} mathrm{M_{odot}}$. To extract these filaments we develop an identification algorithm based on two standard tools: the Minimal Spanning Tree (MST) and the Friends of Friends (FoF) algorithm. Focusing our analysis on the densest dark matter filaments, we found that the radial density profile, at scales around $1, h^{-1} mathrm{Mpc}$, approximately follow a power-law function with index -2. Without making any assumption about the velocity field, our algorithm finds that the saddle point arises as a natural characteristic of the filamentary structure. In addition, its location along the filament depends on the masses of the halos at the filament ends. We also found that the infall velocities follow a cross-pattern near the saddle point, being perpendicular to the filament spine when approaching from low-density regions, and parallel away from the saddle point towards the ends of the filament. Following theoretical prescriptions, we estimate the linear density from the transverse velocity dispersion, finding a good correspondence with the measured mass per unit length of our filaments. Our results can be applied to observational samples of filaments in order to link the saddle point location and the mass per unit length with measurements obtained from observations such as cluster masses and the velocity dispersion of galaxies." @default.
- W3092335162 created "2020-10-15" @default.
- W3092335162 creator A5002958855 @default.
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- W3092335162 date "2020-10-10" @default.
- W3092335162 modified "2023-10-09" @default.
- W3092335162 title "Detection and analysis of cluster–cluster filaments" @default.
- W3092335162 cites W1607535394 @default.
- W3092335162 cites W1791324803 @default.
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- W3092335162 cites W1904157593 @default.
- W3092335162 cites W1904979880 @default.
- W3092335162 cites W1965680834 @default.
- W3092335162 cites W1969996718 @default.
- W3092335162 cites W1972702913 @default.
- W3092335162 cites W1972826620 @default.
- W3092335162 cites W1982487463 @default.
- W3092335162 cites W1983404401 @default.
- W3092335162 cites W1994387804 @default.
- W3092335162 cites W1997438197 @default.
- W3092335162 cites W2003181186 @default.
- W3092335162 cites W2010972717 @default.
- W3092335162 cites W2016884061 @default.
- W3092335162 cites W2030643638 @default.
- W3092335162 cites W2031008359 @default.
- W3092335162 cites W2045209538 @default.
- W3092335162 cites W2046289288 @default.
- W3092335162 cites W2048355921 @default.
- W3092335162 cites W2060640900 @default.
- W3092335162 cites W2062807652 @default.
- W3092335162 cites W2067392864 @default.
- W3092335162 cites W2068543914 @default.
- W3092335162 cites W2079664792 @default.
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- W3092335162 cites W2108282089 @default.
- W3092335162 cites W2110353258 @default.
- W3092335162 cites W2112261475 @default.
- W3092335162 cites W2124560329 @default.
- W3092335162 cites W2125592652 @default.
- W3092335162 cites W2129504369 @default.
- W3092335162 cites W2133109330 @default.
- W3092335162 cites W2138884492 @default.
- W3092335162 cites W2141063193 @default.
- W3092335162 cites W2150113839 @default.
- W3092335162 cites W2150372924 @default.
- W3092335162 cites W2159036295 @default.
- W3092335162 cites W2221822213 @default.
- W3092335162 cites W2233214391 @default.
- W3092335162 cites W2238749418 @default.
- W3092335162 cites W2241216975 @default.
- W3092335162 cites W2278842685 @default.
- W3092335162 cites W2547206974 @default.
- W3092335162 cites W2592737975 @default.
- W3092335162 cites W2612257175 @default.
- W3092335162 cites W2761954761 @default.
- W3092335162 cites W2798780684 @default.
- W3092335162 cites W2798823683 @default.
- W3092335162 cites W2884710366 @default.
- W3092335162 cites W2897701617 @default.
- W3092335162 cites W2901966404 @default.
- W3092335162 cites W2904718657 @default.
- W3092335162 cites W2910769641 @default.
- W3092335162 cites W2941947491 @default.
- W3092335162 cites W2952482361 @default.
- W3092335162 cites W2955791290 @default.
- W3092335162 cites W2963234811 @default.
- W3092335162 cites W2963426378 @default.
- W3092335162 cites W2977140353 @default.
- W3092335162 cites W2990842135 @default.
- W3092335162 cites W3019945171 @default.
- W3092335162 cites W3098221464 @default.
- W3092335162 cites W3099217496 @default.
- W3092335162 cites W3099436957 @default.
- W3092335162 cites W3100332002 @default.
- W3092335162 cites W3100550749 @default.
- W3092335162 cites W3101200290 @default.
- W3092335162 cites W3101276076 @default.
- W3092335162 cites W3101438471 @default.
- W3092335162 cites W3101486213 @default.
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- W3092335162 cites W3102414847 @default.
- W3092335162 cites W3103270220 @default.
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- W3092335162 cites W3122418791 @default.
- W3092335162 cites W3122470830 @default.
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- W3092335162 doi "https://doi.org/10.1093/mnras/staa3112" @default.
- W3092335162 hasPublicationYear "2020" @default.
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