We introduce a new, multizone chemical evolution model of the DustPedia galaxy M74, calibrated by means of Markov Chain Monte Carlo methods. We take into account the observed stellar and gas density profiles and use Bayesian analysis to constrain two fundamental parameters characterizing the gas accretion and star formation time-scale, i.e. the infall time-scale tau and the SF efficiency nu, respectively, as a function of galactocentric radius R. Our analysis supports an infall time-scale increasing with R and a star formation efficiency decreasing with R, thus supporting an 'Inside-Out' formation for M74. For both tau and nu, we find a weaker radial dependence than in the Milky Way. We also investigate the dust content of M74, comparing the observed dust density profile with the results of our chemical evolution models. Various prescriptions have been considered for two key parameters, i.e. the typical dust accretion time-scale tau(0) and the mass of gas cleared out of dust by a supernova remnant, M-clear, regulating the dust growth and destruction rate, respectively. Two models with a different current balance between destruction and accretion, i.e. with an equilibrium and a dominion of accretion over destruction, can equally reproduce the observed dust profile of M74. This outlines the degeneracy between these parameters in shaping the interstellar dust content in galaxies. Our methods will be extended to more DustPedia galaxies to shed more light on the relative roles of dust production and destruction.

A Bayesian chemical evolution model of the DustPedia Galaxy M74 / Francesco Calura; Marco Palla; Laura Morselli; Emanuele Spitoni; Viviana Casasola; Kuldeep Verma; Andrea Enia; Massimo Meneghetti; Simone Bianchi; Francesca Pozzi; Carlotta Gruppioni. - In: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. - ISSN 0035-8711. - STAMPA. - 523:2(2023), pp. 2351-2368. [10.1093/mnras/stad1316]

A Bayesian chemical evolution model of the DustPedia Galaxy M74

Andrea Enia;Francesca Pozzi;
2023

Abstract

We introduce a new, multizone chemical evolution model of the DustPedia galaxy M74, calibrated by means of Markov Chain Monte Carlo methods. We take into account the observed stellar and gas density profiles and use Bayesian analysis to constrain two fundamental parameters characterizing the gas accretion and star formation time-scale, i.e. the infall time-scale tau and the SF efficiency nu, respectively, as a function of galactocentric radius R. Our analysis supports an infall time-scale increasing with R and a star formation efficiency decreasing with R, thus supporting an 'Inside-Out' formation for M74. For both tau and nu, we find a weaker radial dependence than in the Milky Way. We also investigate the dust content of M74, comparing the observed dust density profile with the results of our chemical evolution models. Various prescriptions have been considered for two key parameters, i.e. the typical dust accretion time-scale tau(0) and the mass of gas cleared out of dust by a supernova remnant, M-clear, regulating the dust growth and destruction rate, respectively. Two models with a different current balance between destruction and accretion, i.e. with an equilibrium and a dominion of accretion over destruction, can equally reproduce the observed dust profile of M74. This outlines the degeneracy between these parameters in shaping the interstellar dust content in galaxies. Our methods will be extended to more DustPedia galaxies to shed more light on the relative roles of dust production and destruction.
2023
A Bayesian chemical evolution model of the DustPedia Galaxy M74 / Francesco Calura; Marco Palla; Laura Morselli; Emanuele Spitoni; Viviana Casasola; Kuldeep Verma; Andrea Enia; Massimo Meneghetti; Simone Bianchi; Francesca Pozzi; Carlotta Gruppioni. - In: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. - ISSN 0035-8711. - STAMPA. - 523:2(2023), pp. 2351-2368. [10.1093/mnras/stad1316]
Francesco Calura; Marco Palla; Laura Morselli; Emanuele Spitoni; Viviana Casasola; Kuldeep Verma; Andrea Enia; Massimo Meneghetti; Simone Bianchi; Francesca Pozzi; Carlotta Gruppioni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/943698
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