Dynamical modelling of the Milky Way
Paul McMillan
L u n d O b s e r v a t
- r
y w . J a m e s B i n n e y , R a l p h S c h ö n r i c h , J a s
- n
S a n d e r s , t h e R A V E C
- l
l a b
- r
a t i
- n
, t h e G a i a C
- l
l a b
- r
a t i
- n
Dynamical modelling of the Milky Way Paul McMillan y r o t a v - - PowerPoint PPT Presentation
Dynamical modelling of the Milky Way Paul McMillan y r o t a v r e s b O , h d c n i r u L n h E c V S A h R p l e a h n R t o i , , t y s a r e r n e d o n b n i a B a l S l s o
Paul McMillan
L u n d O b s e r v a t
y w . J a m e s B i n n e y , R a l p h S c h ö n r i c h , J a s
S a n d e r s , t h e R A V E C
l a b
a t i
, t h e G a i a C
l a b
a t i
Can’t measure the acceleration Can measure positions and velocities
For billions of stars…
Great data needs a great model
Need a model to find gravitational field from the
Stars move, but the distribution (density profile, velocity distribution) stays the same
McMillan & Binney 2008 Binney 2012 Binney & McMillan 2016 Bovy 2015
Action- angle coordinates
Many different techniques. Some mostly Galactic plane (e.g., McMillan 2011, 2017) Some mostly perpendicular (e.g., Garbari et al. 2012) (see Read 2014 for a review)
github.com/PaulMcMillan-Astro/GalPot
Global approach (Piffl et al 2014)
Understanding chemical evolution
Wojno et al 2016 (see also Lee et al 2011) Old – Type-II SN enrichment Younger – Type Ia SN enrichment
Explained by a dynamical model and inside-out formation
(Schönrich & McMillan 2017)
M e t a l l i c i t y g r a d i e n t s
Metal rich gas Metal rich young stars Metal poor gas Metal poor young stars
(Galaxy picture, McMillan priv comm)
Natural explanation for (younger) lower-α stars
From R<R0 From R>R0
t ≈ 0 t = 2 Gyr R [ Fe/H ]
But also: asymmetric drift (high vel. disp. = velocity lag)
[ Fe/H ]
vφ at R0
If low [Fe/H] has higher vel.
because it’s
If two populations have the same mean radius (i.e. there is no radial metallicity gradient) and velocity dispersion
Dehnen (1999) (see also Kushniruk et al 2017) Modelled by: Sellwood 2010, McMillan 2011, 2013, Monari et al 2016
Real data Smooth model
Action-angle coordinates are a toolset for understanding galaxy dynamics We can find the gravitational potential, understand chemical evolution, and the effect of the spirals/bar Data are coming! Thank you!
B l a n k s l i d e
Bensby, Feltzing, Oey 2014
Wojno et al 2016
Gaia data is an incredible
a galaxy
(actually several…)
Need a model to find gravitational field from the
Found in many surveys. From the field of streams… (Belokurov et al 2006) to DES (Shipp et al 2018)
Streams do not follow
(see poster)
Gaia data is an incredible
a galaxy
(actually several…)
Need a model to find gravitational field from the