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dc.date.accessioned 2019-11-22T12:49:45Z
dc.date.available 2019-11-22T12:49:45Z
dc.date.issued 2015
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/85934
dc.description.abstract We present a new technique for modelling submillimetre galaxies (SMGs): the 'Count Matching' approach. Using light cones drawn from a semi-analytic model of galaxy formation, we choose physical galaxy properties given by the model as proxies for their submillimetre luminosities, assuming a monotonic relationship. As recent interferometric observations of the Extended Chandra Deep Field-South show that the brightest sources detected by single-dish telescopes are comprised by emission from multiple fainter sources, we assign the submillimetre fluxes so that the combined Large APEX BOlometer CAmera (LABOCA) plus bright-end Atacama Large Millimeter/submillimeter Array observed number counts for this field are reproduced. After turning the model catalogues given by the proxies into submillimetre maps, we perform a source extraction to include the effects of the observational process on the recovered counts and galaxy properties. We find that for all proxies, there are lines of sight giving counts consistent with those derived from LABOCA observations, even for input sources with randomized positions in the simulated map. Comparing the recovered redshift, stellar mass and host halo mass distributions for model SMGs with observational data, we find that the best among the proposed proxies is that in which the submillimetre luminosity increases monotonically with the product between dust mass and star formation rate (SFR). This proxy naturally reproduces a positive trend between SFR and bolometric IR luminosity. The majority of components of blended sources are spatially unassociated. en
dc.format.extent 2291-2311 es
dc.language en es
dc.subject Early Universe es
dc.subject Galaxies: evolution es
dc.subject Galaxies: formation es
dc.subject Submillimetre: galaxies es
dc.title Properties of submillimetre galaxies in a semi-analytic model using the ‘Count Matching’ approach: application to the ECDF-S en
dc.type Articulo es
sedici.identifier.other doi:10.1093/mnras/stu2237 es
sedici.identifier.other eid:2-s2.0-84985007031 es
sedici.identifier.issn 0035-8711 es
sedici.creator.person Muñoz Arancibia, Alejandra M. es
sedici.creator.person Navarrete, Felipe P. es
sedici.creator.person Padilla, Nelson D. es
sedici.creator.person Cora, Sofía Alejandra es
sedici.creator.person Gawiser, Eric es
sedici.creator.person Kurczynski, Peter es
sedici.creator.person Ruiz, Andrés N. es
sedici.subject.materias Ciencias Astronómicas es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Astrofísica de La Plata es
sedici.subtype Articulo 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. 446, no. 3 es
sedici.rights.sherpa * Color: green * Pre-print del autor: can * Post-print del autor: can * Versión de editor/PDF:can * Condiciones: >>Pre-print can only be posted prior to acceptance >>Pre-print on author's personal website, employer website, free public server or pre-prints in subject area >>Pre-print must be accompanied by set statement (see link) >>Pre-print set statement must be amended upon publication (see policy) >>Publisher's version/PDF may be used >>Author's Post-print on Institutional repositories or Central repositories >>Publisher's version/PDF on Institutional repositories or Central repositories, with all rights reserved (see policy) >>Published source must be acknowledged >>Must link to publisher version >>Set phrase to accompany archived copy (see policy) * Link a Sherpa: http://sherpa.ac.uk/romeo/issn/0035-8711/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)