and halo spin Chris Duckworth, Rita Tojeiro [email protected] 7th October 2019 SDSS-IV Project 0535: https://trac.sdss.org/wiki/MANGA/Projects/kinematic_misalignment_morphology SDSS-IV Paper 0391: https://internal.sdss.org/collaboration/publications/browse/select/id%3D391
which uses a combination of MaNGA and IllustrisTNG (TNG) to comprehensively understand why galaxies have decoupled rotation between stars and gas (kinematic misalignment) • Here we focus on: • Morphological dependence of kinematic misalignment (MaNGA & TNG) • Relationship with angular momentum and gas content at z = 0 (MaNGA & TNG) • Identifying galaxies with stellar rotation but ‘messed up’ gas rotation as potential progenitors of misaligned galaxies (MaNGA) • Relationship with the halo spin back to z = 1 (TNG)
galaxies. 1) Galaxies with aligned rotation between stars and gas (usual expectation from basic TTT) i.e. ΔPA = |PAstars – PAgas | < 30° # = 3378 galaxies
galaxies. 2) Kinematically misaligned galaxies with a difference between rotational axes of stars and gas i.e. ΔPA = |PAstars – PAgas | > 30° # = 420 galaxies
S0-Sas 5.4±0.6% of 1634 Sb-Sds ETG centrals are more likely to be misaligned than ETG satellites! Morphologies from GalaxyZoo; https://www.sdss.org/dr15/data_access/value-added-catalogs/?vac_id=manga-morphologies-from-galaxy-zoo
mass when considering population as a whole but individual trends when broken down by morphology Morphologies from GalaxyZoo; https://www.sdss.org/dr15/data_access/value-added-catalogs/?vac_id=manga-morphologies-from-galaxy-zoo
dust attention from Pipe3D; https://www.sdss.org/dr15/manga/manga-data/manga-pipe3d-value-added-catalog/ Since angular momentum loss and gas loss seem crucial in misalignment are NGRs progenitors of misaligned (i.e before gas is re-accreted)?
similar combination of stellar mass, size and g-r colour 2) Made MaNGA like observation (particle based with co-added noise and PSF of typical MaNGA observations for each subhalo up- to same number of Re as matched MaNGA galaxy 3 Same eyeballing of velocity fields and kinematic classifications IllustrisTNG-100 mock MaNGA sample Example output from a TNG subhalo
feedback in TNG • (Preliminary) Correlates with black hole mass • (Preliminary) Correlates with black hole luminosity (with time lag!) • Currently looking at relationship with energy injection and misalignment • Relationship with mergers for ETGs in TNG / MaNGA • Currently looking at relaxation timescales • Currently looking at merger relationship on individual galaxy basis These projects are not SDSS-IV (currently) but if you are interested feel free to get in touch!