Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

earth and planetary sciences

SDSS-IV MaNGA: Stellar angular momentum of about 2300 galaxies: Unveiling the bimodality of massive galaxy properties

Monthly Notices of the Royal Astronomical Society, Volume 477, No. 4, Year 2018

We measure λRe, a proxy for galaxy specific stellar angular momentum within one effective radius, and the ellipticity, ϵ, for about 2300 galaxies of all morphological types observed with integral field spectroscopy as part of the Mapping Nearby Galaxies at Apache Point Observatory survey, the largest such sample to date.We use the (λRe, ϵ) diagram to separate early-type galaxies into fast and slow rotators. We also visually classify each galaxy according to its optical morphology and two-dimensional stellar velocity field. Comparing these classifications to quantitative λRe measurements reveals tight relationships between angular momentum and galaxy structure. In order to account for atmospheric seeing, we use realistic models of galaxy kinematics to derive a general approximate analytic correction for λRe . Thanks to the size of the sample and the large number of massive galaxies, we unambiguously detect a clear bimodality in the (λRe, ϵ) diagram which may result from fundamental differences in galaxy assembly history. There is a sharp secondary density peak inside the region of the diagram with low λRe and ϵ < 0.4, previously suggested as the definition for slow rotators. Most of these galaxies are visually classified as non-regular rotators and have high velocity dispersion. The intrinsic bimodality must be stronger, as it tends to be smoothed by noise and inclination. The large sample of slow rotators allows us for the first time to unveil a secondary peak at ±90° in their distribution of the misalignments between the photometric and kinematic position angles. We confirm that genuine slow rotators start appearing aboveM= 2 × 1011M⊙ where a significant number of high-mass fast rotators also exist. © The Author(s) 2018.
Statistics
Citations: 105
Authors: 16
Affiliations: 17
Identifiers
Study Design
Cross Sectional Study
Study Approach
Quantitative