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dc.contributor.authorLi, Zefeng
dc.contributor.authorGalbany González, Lluis 
dc.date.accessioned2021-11-17T11:00:24Z
dc.date.available2021-11-17T11:00:24Z
dc.date.issued2021-07-01
dc.identifier.citationLi, Z., Krumholz, M. R., Wisnioski, E., Mendel, J. T., Kewley, L. J., Sánchez, S. F., & Galbany, L. Detection of metallicity correlations in 100 nearby galaxies. Monthly Notices of the Royal Astronomical Society. [ https://doi.org/10.1093/mnras/stab1263]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/71576
dc.descriptionMRK acknowledges support from the Australian Research Council through awards FT180100375 and DP190101258. EW and JTM acknowledge support by the Australian Research Council Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), through project number CE170100013. SFS is grateful for the support of a CONACYT grant CB-285080 and FC-2016-01-1916, and funding from the PAPIIT-DGAPAIN100519 (UNAM) project.LGwas funded by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 839090. LG has also been partially supported by the Spanish grant PGC2018-095317-B-C21 within the European Funds for Regional Development (FEDER)es_ES
dc.description.abstractIn this paper, we analyse the statistics of the 2D gas-phase oxygen abundance distributions of 100 nearby galaxies drawn from the Calar Alto Legacy Integral Field spectroscopy Area survey. After removing the large-scale radial metallicity gradient, we compute the two-point correlation functions of the resulting metallicity fluctuation maps. We detect correlations in the majority of our targets, which we show are significantly in excess of what is expected due to beam-smearing, and are robust against the choice of metallicity diagnostic. We show that the correlation functions are generally well-fit by the predictions of a simple model for stochastic metal injection coupled with diffusion, and from the model we show that, after accounting for the effects of both beam smearing and noise, the galaxies in our sample have characteristic correlation lengths of ∼1 kpc. Correlation lengths increase with both stellar mass and star formation rate, but show no significant variation with Hubble type, barredness, or merging state. We also find no evidence for a theoretically predicted relationship between gas velocity dispersion and correlation length, though this may be due to the small dynamic range in gas velocity dispersion across our sample. Our results suggest that measurements of 2D metallicity correlation functions can be a powerful tool for studying galaxy evolution.es_ES
dc.description.sponsorshipAustralian Research Council Centre of Excellence CE170100013es_ES
dc.description.sponsorshipH2020 Marie Skłodowska-Curie Actions 839090, PGC2018-095317-B-C21es_ES
dc.description.sponsorshipAustralian Research Council DP190101258, FT180100375es_ES
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnología CB-285080, FC-2016-01-1916, PAPIIT-DGAPAIN100519es_ES
dc.description.sponsorshipHorizon 2020es_ES
dc.description.sponsorshipEuropean Regional Development Fundes_ES
dc.language.isoenges_ES
dc.publisherOxford University Presses_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectGalaxy: abundanceses_ES
dc.subjectGalaxies: ISMes_ES
dc.titleDetection of metallicity correlations in 100 nearby galaxieses_ES
dc.typejournal articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/839090es_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1093/mnras/stab1263
dc.type.hasVersionVoRes_ES


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