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dc.date.accessioned 2021-12-15T14:01:51Z
dc.date.available 2021-12-15T14:01:51Z
dc.date.issued 2019
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/129621
dc.description.abstract In order to constraint the limitations of association methods applied to galaxy surveys, we analysed the catalogue of halos at z=0 of a cosmological simulation, trying to reproduce the limitations that an observational survey deal with. We focused in the percolation method, usually called Friends of Friends method, commonly used in literature. The analysis was carried on the dark matter cosmological simulation MDPL2, from the Multidark project. Results point to a large fraction of contaminants for massive halos in high density environments. Thresholds in the association parameters and the subsequent analysis of observational properties can mitigate the occurrence of fake positives. The use of tests for substructures can also be efficient in particular cases. en
dc.format.extent 4875-4889 es
dc.language en es
dc.subject Galaxies: statistics es
dc.subject Galaxies: distances and redshifts es
dc.subject Galaxies: clusters: general es
dc.title Siblings, friends and acquaintances: testing galaxy association methods en
dc.type Articulo es
sedici.identifier.other doi:10.1093/mnras/stz2336 es
sedici.identifier.issn 0035-8711 es
sedici.identifier.issn 1365-2966 es
sedici.creator.person Caso, Juan Pablo es
sedici.creator.person Vega Martínez, Cristian Antonio es
sedici.subject.materias Astronomía es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Astronómicas y Geofísicas es
sedici.subtype Preprint es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Monthly Notices of the Royal Astronomical Society es
sedici.relation.journalVolumeAndIssue vol. 489, no. 4 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)