Morfometryka

# Morfometryka -- A New Way of Establishing Morphological Classification of Galaxies

## Fabricio Ferrari, Reinaldo Ramos de Carvalho, Marina Trevisan

Abstract:

We present an extended morphometric system to automatically classify galaxies from astronomical images. The new system includes the original and modified versions of the CASGM coefficients (Concentration $C_1$, Asymmetry $A_3$, and Smoothness $S_3$), and the new parameters entropy, $H$, and spirality $\sigma_\psi$. The new parameters $A_3$, $S_3$ and $H$ are better to discriminate galaxy classes than $A_1$, $S_1$ and $G$, respectively. The new parameter $\sigma_\psi$ captures the amount of non-radial pattern on the image and is almost linearly dependent on T-type. Using a sample of spiral and elliptical galaxies from the Galaxy Zoo project as a training set, we employed the Linear Discriminant Analysis (LDA) technique to classify \citet[4478 galaxies]{EFIGI}, \citet[14123 galaxies]{NA} and SDSS Legacy (779,235 galaxies) samples. The cross-validation test shows that we can achieve an accuracy of more than 90\% with our classification scheme. Therefore, we are able to define a plane in the morphometric parameter space that separates the elliptical and spiral classes with a mismatch between classes smaller than 10\%. We use the distance to this plane as a morphometric index (M$_{\rm i}$) and we show that it follows the human based T-type index very closely. We calculate morphometric index M$_{\rm i}$ for $\sim$780k galaxies from SDSS Legacy Survey - DR7. We discuss how M$_{\rm i}$ correlates with stellar population parameters obtained using the spectra available from SDSS-DR7.

# Lecture about Morfometryka for LIneA

## in portuguese

 Rio Grande, RS - Brasil 14 Dec 2018, 15h43m your IP: 3.80.85.76 Browser: Unknown

updated Jun 2013, © Fabricio Ferrari
ferrari (at) ferrari pro br