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NEXUS: tracing the cosmic web connection
We introduce the NEXUS algorithm for the identification of cosmic web environments: clusters, filaments, walls and voids. This is a multiscale and automatic morphological analysis tool that identifies all the cosmic structures in a scale free way, without preference for a certain size or shape. We d...
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Published in: | Monthly notices of the Royal Astronomical Society 2013-02, Vol.429 (2), p.1286-1308 |
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creator | Cautun, Marius van de Weygaert, Rien Jones, Bernard J. T. |
description | We introduce the NEXUS algorithm for the identification of cosmic web environments: clusters, filaments, walls and voids. This is a multiscale and automatic morphological analysis tool that identifies all the cosmic structures in a scale free way, without preference for a certain size or shape. We develop the NEXUS method to incorporate the density, tidal field, velocity divergence and velocity shear as tracers of the cosmic web. We also present the NEXUS+ procedure which, taking advantage of a novel filtering of the density in logarithmic space, is very successful at identifying the filament and wall environments in a robust and natural way.
To assess the algorithms we apply them to an N-body simulation. We find that all methods correctly identify the most prominent filaments and walls, while there are differences in the detection of the more tenuous structures. In general, the structures traced by the density and tidal fields are clumpier and more rugged than those present in the velocity divergence and velocity shear fields. We find that the NEXUS+ method captures much better the filamentary and wall networks and is successful in detecting even the fainter structures. We also confirm the efficiency of our methods by examining the dark matter particle and halo distributions. |
doi_str_mv | 10.1093/mnras/sts416 |
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To assess the algorithms we apply them to an N-body simulation. We find that all methods correctly identify the most prominent filaments and walls, while there are differences in the detection of the more tenuous structures. In general, the structures traced by the density and tidal fields are clumpier and more rugged than those present in the velocity divergence and velocity shear fields. We find that the NEXUS+ method captures much better the filamentary and wall networks and is successful in detecting even the fainter structures. We also confirm the efficiency of our methods by examining the dark matter particle and halo distributions.</description><identifier>ISSN: 0035-8711</identifier><identifier>EISSN: 1365-2966</identifier><identifier>DOI: 10.1093/mnras/sts416</identifier><language>eng</language><publisher>London: Oxford University Press</publisher><subject>Algorithms ; Astronomy ; Dark matter ; Morphology ; Simulation ; Velocity</subject><ispartof>Monthly notices of the Royal Astronomical Society, 2013-02, Vol.429 (2), p.1286-1308</ispartof><rights>2012 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society 2012</rights><rights>Copyright Oxford University Press, UK Feb 21, 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c333t-364a21b9c02bdbec68a05ad104f365bd32663a18f04170596dfad357052364733</citedby><cites>FETCH-LOGICAL-c333t-364a21b9c02bdbec68a05ad104f365bd32663a18f04170596dfad357052364733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1604,27924,27925</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/mnras/sts416$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc></links><search><creatorcontrib>Cautun, Marius</creatorcontrib><creatorcontrib>van de Weygaert, Rien</creatorcontrib><creatorcontrib>Jones, Bernard J. T.</creatorcontrib><title>NEXUS: tracing the cosmic web connection</title><title>Monthly notices of the Royal Astronomical Society</title><addtitle>Mon. Not. R. Astron. Soc</addtitle><description>We introduce the NEXUS algorithm for the identification of cosmic web environments: clusters, filaments, walls and voids. This is a multiscale and automatic morphological analysis tool that identifies all the cosmic structures in a scale free way, without preference for a certain size or shape. We develop the NEXUS method to incorporate the density, tidal field, velocity divergence and velocity shear as tracers of the cosmic web. We also present the NEXUS+ procedure which, taking advantage of a novel filtering of the density in logarithmic space, is very successful at identifying the filament and wall environments in a robust and natural way.
To assess the algorithms we apply them to an N-body simulation. We find that all methods correctly identify the most prominent filaments and walls, while there are differences in the detection of the more tenuous structures. In general, the structures traced by the density and tidal fields are clumpier and more rugged than those present in the velocity divergence and velocity shear fields. We find that the NEXUS+ method captures much better the filamentary and wall networks and is successful in detecting even the fainter structures. We also confirm the efficiency of our methods by examining the dark matter particle and halo distributions.</description><subject>Algorithms</subject><subject>Astronomy</subject><subject>Dark matter</subject><subject>Morphology</subject><subject>Simulation</subject><subject>Velocity</subject><issn>0035-8711</issn><issn>1365-2966</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kD1PwzAQhi0EEqGw8QMiMcBA6NmXOAkbqsqHVMEAldgsx3EgFbWD7Qj132MIM9O9w3P3nh5CTilcUahxvjVO-rkPPqd8jyQUeZGxmvN9kgBgkVUlpYfkyPsNAOTIeEIuHpev6-frNDipevOWhnedKuu3vUq_dBOjMVqF3ppjctDJD69P_uaMrG-XL4v7bPV097C4WWUKEUOGPJeMNrUC1rSNVrySUMiWQt7Fb5o2lnKUtOogpyUUNW872WIRI4urJeKMnE13B2c_R-2D2NjRmVgpKBbIeclZGanLiVLOeu90JwbXb6XbCQrix4X4dSEmFxE_n3A7Dv-T3_jBXo4</recordid><startdate>20130221</startdate><enddate>20130221</enddate><creator>Cautun, Marius</creator><creator>van de Weygaert, Rien</creator><creator>Jones, Bernard J. T.</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20130221</creationdate><title>NEXUS: tracing the cosmic web connection</title><author>Cautun, Marius ; van de Weygaert, Rien ; Jones, Bernard J. T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-364a21b9c02bdbec68a05ad104f365bd32663a18f04170596dfad357052364733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Astronomy</topic><topic>Dark matter</topic><topic>Morphology</topic><topic>Simulation</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cautun, Marius</creatorcontrib><creatorcontrib>van de Weygaert, Rien</creatorcontrib><creatorcontrib>Jones, Bernard J. T.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Monthly notices of the Royal Astronomical Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cautun, Marius</au><au>van de Weygaert, Rien</au><au>Jones, Bernard J. T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>NEXUS: tracing the cosmic web connection</atitle><jtitle>Monthly notices of the Royal Astronomical Society</jtitle><stitle>Mon. Not. R. Astron. Soc</stitle><date>2013-02-21</date><risdate>2013</risdate><volume>429</volume><issue>2</issue><spage>1286</spage><epage>1308</epage><pages>1286-1308</pages><issn>0035-8711</issn><eissn>1365-2966</eissn><abstract>We introduce the NEXUS algorithm for the identification of cosmic web environments: clusters, filaments, walls and voids. This is a multiscale and automatic morphological analysis tool that identifies all the cosmic structures in a scale free way, without preference for a certain size or shape. We develop the NEXUS method to incorporate the density, tidal field, velocity divergence and velocity shear as tracers of the cosmic web. We also present the NEXUS+ procedure which, taking advantage of a novel filtering of the density in logarithmic space, is very successful at identifying the filament and wall environments in a robust and natural way.
To assess the algorithms we apply them to an N-body simulation. We find that all methods correctly identify the most prominent filaments and walls, while there are differences in the detection of the more tenuous structures. In general, the structures traced by the density and tidal fields are clumpier and more rugged than those present in the velocity divergence and velocity shear fields. We find that the NEXUS+ method captures much better the filamentary and wall networks and is successful in detecting even the fainter structures. We also confirm the efficiency of our methods by examining the dark matter particle and halo distributions.</abstract><cop>London</cop><pub>Oxford University Press</pub><doi>10.1093/mnras/sts416</doi><tpages>23</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Astronomy Dark matter Morphology Simulation Velocity |
title | NEXUS: tracing the cosmic web connection |
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