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N. Vale-Asari

Researcher at Universidade Federal de Santa Catarina

Publications -  4
Citations -  251

N. Vale-Asari is an academic researcher from Universidade Federal de Santa Catarina. The author has contributed to research in topics: Stellar mass & Stellar population. The author has an hindex of 2, co-authored 3 publications receiving 236 citations.

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The CALIFA survey across the Hubble sequence: Spatially resolved stellar population properties in galaxies

TL;DR: In this article, the authors apply the fossil record method based on spectral synthesis techniques to recover the following physical properties for each spatial resolution element in the target galaxies: the stellar mass surface density (μ_*), stellar extinction (A_V), lightweighted and mass-weighted ages (L, M), and mass weighted metallicity (M).
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The CALIFA survey across the Hubble sequence: Spatially resolved stellar population properties in galaxies

TL;DR: In this paper, the radial structure of stellar population properties of galaxies in the nearby universe, based on 300 galaxies from the CALIFA survey, was analyzed. And the spectral synthesis techniques were applied to recover the stellar mass surface density, stellar extinction, light and mass-weighted ages, and massweighted metallicity, for each spatial resolution element in the target galaxies.
Posted Content

The CALIFA survey across the Hubble sequence: How galaxies grow their bulges and disks

TL;DR: In this paper, the radial structure of the stellar population properties of 300 galaxies in the nearby universe, observed with integral field spectroscopy in the CALIFA survey, was characterized in detail.
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A machine learning approach to galactic emission-line region classification

TL;DR: In this article , the applicability of supervised machine learning techniques to systematically classify emission-line regions from the ratios of certain emission lines was studied using the Million Mexican Model database, which contains information from grids of photoionization models using cloudy, and from shock models.