Towards a new classification of galaxies: principal component analysis of CALIFA circular velocity curves
Veselina Kalinova, Dario Colombo, Erik Rosolowsky, Rahul Kannan,, Llu\'is Galbany, Rub\'en Garc\'ia-Benito, Rosa Gonz\'alez Delgado, Sebastian, F. S\'anchez, Tom\'as Ruiz-Lara, Jairo M\'endez-Abreu, Cristina, Catal\'an-Torrecilla, Laura S\'anchez-Menguiano, Adriana de

TL;DR
This paper introduces a new galaxy classification system based on principal component analysis of circular velocity curves from CALIFA data, revealing four distinct classes linked to galaxy properties and evolution.
Contribution
The study applies PCA and k-means clustering to classify galaxies by CVC shapes, offering an objective alternative to morphological classification with insights into galaxy evolution.
Findings
Identified four CVC classes: SR, FL, RP, SP.
Classes correlate with galaxy mass, type, and evolutionary stage.
Circular curve classification links more closely to galaxy evolution than morphology.
Abstract
We present a galaxy classification system for 238 (E1-Sdm) CALIFA (Calar Alto Legacy Integral Field Area) galaxies based on the shapes and amplitudes of their circular velocity curves (CVCs). We infer the CVCs from the de-projected surface brightness of the galaxies, after scaling by a constant mass-to-light ratio based on stellar dynamics - solving axisymmetric Jeans equations via fitting the second velocity moment of the stellar kinematics. We use principal component analysis (PCA) applied to the CVC shapes to find characteristic features and use a -means classifier to separate circular curves into classes. This objective classification method identifies four different classes, which we name slow-rising (SR), flat (FL), round-peaked (RP) and sharp-peaked (SP) circular curves. SR are typical for low-mass, late-type (Sb-Sdm), young, faint,…
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