Resumen de Estudio sistemático de vientos galácticos en el universo local
Carlos Alberto López-Cobá
In this thesis, I address the incidence of kiloparsec–scale outflows at low redshiftgalaxies(z <0.1). For this purpose, I adopt the integral field spectroscopytechnique, to study the spatially resolved properties of the detected outflows,their host galaxies, and comparison samples of galaxies that do not host outflows.Two large IFS galaxy samples were adopted to develop this study. Onesample is statistically well defined, and it is suitable to derive representativeproperties of these objects in the Local Universe. The other sample was designedfrom the scratch, and constitutes a major effort to compile a large sample ofgalaxies with the most exquisite quality data, to unreveal with unprecedenteddetail the ionization processes in nearby galaxies. This last sample comprisesthe major galaxy compilation observed with the actual most sophisticated IFSspectrograph, MUSE.Much more than 60 million individual spectra were analyzed in this study,requiring an exhaustive and vast time-consuming procedure for the analysis ofthe stellar and ionized content of individual spectra, as well as the derivationof the isophotal parameters of the sample. The final set comprises more than1500 galaxies, with spatially resolved information recorded in two-dimensionalmaps, for both the stellar and gas components.The study of outflows was focused to the warm phase (T∼104K) accessible viathe most prominent optical emission–lines. Given the large differences betweenthe two galaxy samples, two different approaches were used to unreveal thepresence of outflows trying to overcome biases toward galaxies were its presenceis considered ubiquitous.Regardless of the sample, I found that only a small fraction(<10%)ofgalaxies host galactic outflows. The global properties of outflow host–galaxiesdo not seem to be different from those of normal star-forming galaxies. Thissuggests that outflows could be a transitory phenomena, and its detection isdetermined mostly by its evolving time scale.
