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Spatially-resolved SFR in nearby disk galaxies using IFS data

机译:附近的磁盘星系中的空间分辨SFR使用IFS数据

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Exploring the spatial distribution of the star formation rate(SFR)in nearby galaxies is essential to understand their evolution through cosmic time. With this aim in mind, we use a representative sample that contains a variety of morphological types, the CALIFA Integral Field Spectroscopy(IFS)sample. Previous to this work, we have verified that our extinction-corrected Ha measurements successfully reproduce the values derived from other SFR tracers such as Hα_(obs) + IR or UV_(obs) + IR(Catalán-Torrecilla et al. 2015). Now, we go one step further applying 2-dimensional photometric decompositions(Méndez-Abreu et al.(2008), Méndez-Abreu et al.(2014))over these datacubes. This method allows us to obtain the amount of SFR in the central part(bulge or nuclear source), the bar and the disk, separately. First, we determine the light coming from each component as the ratio between the luminosity in every component(bulge, bar or disk)and the total luminosity of the galaxy. Then, for each galaxy we multiply the IFS datacubes by these previous factors to recover the luminosity in each component. Finally, we derive the spectrum associated to each galaxy component integrating the spatial information in the weighted datacube using an elliptical aperture covering the whole galaxy. 2D photometric decomposition applied over 3D datacubes will give us a more detailed understanding of the role that disks play in more massive galaxies. Knowing if the disks in more massive SF galaxies have on average a lower or higher level of star formation activity and how these results are affected by the presence of nuclear bars are still open questions that we can now solve. We describe the behavior of these components in the SFR vs. stellar mass diagram. In particular, we highlight the role of the disks and their contribution to both the integrated SFR for the whole galaxy and the SFR in the disk at different stellar masses in the SFR vs. stellar mass diagram together with their relative positi
机译:探索附近星系的恒星形成率(SFR)的空间分布有必要了解通过宇宙时间的演化。有了这个目标记住,我们使用包含各种形态类型中,卡利积分场光谱(IFS)样品的代表性样品。在此之前的工作中,我们已经验证了我们的消光校正哈测量成功再现来自其他SFR示踪剂得出的值,如Hα_(OBS)+ IR或UV_(OBS)+ IR(加泰罗尼亚托雷西利亚等人2015年)。现在,我们再进一步将2维光度分解(门德斯 - 阿布雷乌等人(2008),门德斯 - 阿布雷乌等人(2014))对这些datacubes。该方法允许我们获得SFR的在中心部分的量(隆起或核源),杆和盘,分别。首先,我们确定来自每个分量作为亮度之间中的每个组件和星系的总亮度之比(凸起,杆或磁盘)来的光。然后,对于每个星系我们乘的IFS datacubes这些以前因素来恢复每个组件的亮度。最后,我们得出关联到每个星系部件集成使用椭圆孔覆盖整个星系在加权数据立方体的空间信息的频谱。 2D光度分解应用在3D datacubes会给我们带来一个更详细的角色的理解是磁盘在更大规模的星系玩。知道,如果在更大规模的SF星系盘平均有恒星形成活动的更低或更高的水平,如何将这些结果由核酒吧存在的影响仍然是开放的问题,我们现在可以解决。我们描述了SFR与恒星质量图,这些组件的行为。尤其是,我们强调的磁盘在不同的恒星质量在SFR与恒星质量图中的作用及其二者的结合SFR贡献了整个星系和SFR在磁盘中的相对POSITI在一起

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