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Self-consistent modelling of our Galaxy with Gaia data

Published online by Cambridge University Press:  07 March 2018

James Binney*
Affiliation:
Rudolf Peierls Centre for Theoretical Physics, University of Oxford, 1 Keble Road, Oxford OX1 3NP, UK email: binney@thphys.ox.ac.uk
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Abstract

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Galaxy models are fundamental to exploiting surveys of our Galaxy. There is now a significant body of work on axisymmetric models. A model can be defined by giving the DF of each major class of stars and of dark matter. Then the self-consistent gravitational potential is determined. Other modelling techniques are briefly considered before an overview of some early work on non-axisymmetric models.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2018 

References

Akin, Y., et al., 2016, 456, 538Google Scholar
Aumer, M., Binney, J., & Schönrich, R., 2016, MNRAS, 459, 3326 Google Scholar
Aumer, M. & Binney, J., 2017, MNRAS accepted (arXiv1705.09240)Google Scholar
Erkal, D., Belokurov, V, Bovy, J., & Sanders, J. L., 2016, MNRAS, 457, 3817 Google Scholar
Arnold, V. I., 1978, Mathematical methods of classical mechanics, Berlin: Springer CrossRefGoogle Scholar
Binney, J., 2010, MNRAS, 401, 2318 Google Scholar
Binney, J., 2012a, MNRAS, 426, 1324 Google Scholar
Binney, J., 2012b, MNRAS, 426, 1328 CrossRefGoogle Scholar
Binney, J., 2014, MNRAS, 440, 787 Google Scholar
Binney, J., 2016, MNRAS, 462, 2792 Google Scholar
Binney, J., Burnett, et al., 2014, MNRAS, 439, 1231 Google Scholar
Binney, J. & McMillan, P. J., 2011, MNRAS, 413, 1889 Google Scholar
Binney, J. & McMillan, P. J., 2016, MNRAS, 456, 1982 CrossRefGoogle Scholar
Binney, J. & Piffl, T., 2015, MNRAS, 454, 3653 Google Scholar
Binney, J & Wong, L. K., 2017, MNRAS, 467, 2446 Google Scholar
Das, P. & Binney, J., 2016, MNRAS, 460, 1725 Google Scholar
Das, P., Williams, A., & Binney, J., 2016, MNRAS, 463, 3169 CrossRefGoogle Scholar
Bovy, J. & Rix, H.-W., 2013, ApJ, 779, 115 Google Scholar
Cole, D. & Binney, J., 2017, MNRAS, 465, 798 Google Scholar
Dehnen, W., 2000, AJ, 119, 800 Google Scholar
de Lorenzi, F., Debattista, V. P., Gerhard, O., & Sambhus, N., 2007, MNRAS, 376, 71 Google Scholar
Gilmore, G. & Reid, N., 1983, MNRAS, 202, 1025 Google Scholar
Holmberg, J., Nordström, B. & Anderson, J., 2007, A&A, 475, 519 Google Scholar
Jeffreson, S. M. R., 14 others, 2017, MNRAS,submittedGoogle Scholar
Juric, M. et al., 2008, ApJ, 673, 864 Google Scholar
Kaasalainen, M., 1994, MNRAS, 268, 1041 Google Scholar
Monari, G., Famaey, B., & Siebert, A., 2016, MNRAS, 457, 2569 CrossRefGoogle Scholar
Navarro, J., Frenk, C. S., & White, S. D. M., 1997, ApJ, 490, 493 Google Scholar
Nordström, B. et al., 2004, A&A, 418, 989 Google Scholar
Piffl, T. et al., 2014, MNRAS, 445, 3133 Google Scholar
Piffl, T., Penoyre, Z., & Binney, J., 2015, MNRAS, 451, 639 Google Scholar
Portail, M., Gerhard, O., Wegg, C & Ness, M., 2017, MNRAS, 465, 1621 Google Scholar
Posti, L., Binney, J., Nipoti, C., & Ciotti, L., 2015, MNRAS, 447, 3060 CrossRefGoogle Scholar
Sanders, J. L. & Binney, J., 2015, MNRAS, 447, 2479 Google Scholar
Sanders, J. L. & Binney, J., 2016, MNRAS, 457, 2107 CrossRefGoogle Scholar
Schönrich, R., Binney, J., & Dehnen, W., 2010, MNRAS, 403, 1829 Google Scholar
Schwarzschil, M., 1979, ApJ, 232, 236 Google Scholar
Sumi, T. & Penny, M. T., 2016, ApJ, 827, 139 CrossRefGoogle Scholar
Syer, D. & Tremaine, S., 1996, MNRAS, 282, 223 Google Scholar