Correlations between stellar dynamics and metallicity in the discs Semi-analytic chemodynamical model of the Milky Way Jan Rybizki (Supervisor: Andreas Just) Astronomisches Rechen-Institut - Zentrum für Astronomie der Universität Heidelberg May 29, 2012
The Milky Way Introduction Getting a picture of our Galaxy Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 2 / 8
The Milky Way Introduction Getting a picture of our Galaxy Kinematics Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 2 / 8
The Milky Way Introduction Getting a picture of our Galaxy Kinematics Chemistry Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 2 / 8
The Milky Way Introduction Getting a picture of our Galaxy Evolution Kinematics Chemistry Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 2 / 8
The existing model Method Local disc model: Just & Jahreiß (2010) Iteration via observational constraints Input Semi-Analytic Model Output Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 3 / 8
The existing model Method Local disc model: Just & Jahreiß (2010) Iteration via observational constraints Input Semi-Analytic Model Output 1 Input star formation history SFR(t) age-velocity dispersion relation σ W (age) metallicities [Fe/H](t) mass distribution initial mass function Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 3 / 8
The existing model Method Local disc model: Just & Jahreiß (2010) Iteration via observational constraints Input Semi-Analytic Model Output 1 Input star formation history SFR(t) age-velocity dispersion relation σ W (age) metallicities [Fe/H](t) mass distribution initial mass function 2 Time evolution solving Poisson equation stellar evolution from population synthesis Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 3 / 8
The existing model Method Local disc model: Just & Jahreiß (2010) Iteration via observational constraints Input Semi-Analytic Model Output 1 Input star formation history SFR(t) age-velocity dispersion relation σ W (age) metallicities [Fe/H](t) mass distribution initial mass function 2 Time evolution solving Poisson equation stellar evolution from population synthesis 3 Output of observables [Fe/H](z) distributions kinematics above the plane vertical density profiles ρ(z, age) Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 3 / 8
The existing model Results Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 4 / 8
The existing model Results Local disc profiles fit F-K dwarf distribution in SDSS very well at b=90 Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 4 / 8
Extending the model Chemical tagging Constraining the star formation history Select tracer elements Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 5 / 8
Extending the model Chemical tagging Constraining the star formation history Select tracer elements Include prescriptions for their chemical enrichment processes Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 5 / 8
Extending the model Chemical tagging Constraining the star formation history Select tracer elements Include prescriptions for their chemical enrichment processes increase constraining observables and overcome degeneracy of SFR (Francois+ 2004) Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 5 / 8
Extending the model Looking at different galactic radii Constraining the Milky Way Assembly history Extend the model to different radii Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 6 / 8
Extending the model Looking at different galactic radii Constraining the Milky Way Assembly history Extend the model to different radii Constrain the star formation history at different radii Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 6 / 8
Extending the model Looking at different galactic radii Constraining the Milky Way Assembly history Extend the model to different radii Constrain the star formation history at different radii Include radial migration Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 6 / 8
Extending the model Looking at different galactic radii Constraining the Milky Way Assembly history Extend the model to different radii Constrain the star formation history at different radii Include radial migration Need suitable observational data RAVE, SEGUE, GCS Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 6 / 8
My personal wish list Conclusion Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 7 / 8
My personal wish list Conclusion Overcome instantaneous recycling approximation Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 7 / 8
Conclusion My personal wish list Overcome instantaneous recycling approximation Omit observational biases (selection function) (Bovy+ 2011) Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 7 / 8
Conclusion My personal wish list Overcome instantaneous recycling approximation Omit observational biases (selection function) Gaia ESO Survey data release before 2014 (Bovy+ 2011) Jan Rybizki (ARI) Kinematics Chemistry May 29, 2012 7 / 8
Thank you for your attention