scholarly journals ACTION-SPACE CLUSTERING OF TIDAL STREAMS TO INFER THE GALACTIC POTENTIAL

2015 ◽  
Vol 801 (2) ◽  
pp. 98 ◽  
Author(s):  
Robyn E. Sanderson ◽  
Amina Helmi ◽  
David W. Hogg
2013 ◽  
Vol 9 (S298) ◽  
pp. 207-212 ◽  
Author(s):  
Robyn E. Sanderson ◽  
Amina Helmi ◽  
David W. Hogg

AbstractGiven a parametrized model of the Galactic potential, the best-fit parameters can be obtained by maximizing the Kullback-Leibler divergence of the action distribution of a set of stars initially clustered in action space (e.g. stars in tidal streams). This method will allow us to map the Milky Way's gravitational potential by simultaneously fitting multiple tidal streams without requiring stream membership information. With 20 streams of at least 20 stars each, including observational errors consistent with predictions for Gaia, this technique recovers the input potential parameters to a precision of 10-60% and an accuracy of 10%. With all the observed streams in our mock stellar halo (about 40) that fit the error criteria, the precision improves to 10%.


2013 ◽  
Vol 9 (S298) ◽  
pp. 195-200
Author(s):  
Jason L. Sanders ◽  
James Binney

AbstractIn general, a tidal stream is misaligned with the orbit of its progenitor. Here we present the formation of tidal streams in angle-action space to discuss the effect of this misalignment on orbit-fitting algorithms for constraining the Galactic potential. We close by presenting and testing an alternative algorithm which more fully accounts for the dynamics of streams by using the angle-action formalism.


2012 ◽  
Vol 760 (1) ◽  
pp. 2 ◽  
Author(s):  
Jorge Peñarrubia ◽  
Sergey E. Koposov ◽  
Matthew G. Walker

1999 ◽  
Vol 512 (2) ◽  
pp. L109-L112 ◽  
Author(s):  
Kathryn V. Johnston ◽  
HongSheng Zhao ◽  
David N. Spergel ◽  
Lars Hernquist

2021 ◽  
Vol 502 (3) ◽  
pp. 4170-4193
Author(s):  
Stella Reino ◽  
Elena M Rossi ◽  
Robyn E Sanderson ◽  
Elena Sellentin ◽  
Amina Helmi ◽  
...  

ABSTRACT Stream stars removed by tides from their progenitor satellite galaxy or globular cluster act as a group of test particles on neighbouring orbits, probing the gravitational field of the Milky Way. While constraints from individual streams have been shown to be susceptible to biases, combining several streams from orbits with various distances reduces these biases. We fit a common gravitational potential to multiple stellar streams simultaneously by maximizing the clustering of the stream stars in action space. We apply this technique to members of the GD-1, Palomar 5 (Pal 5), Orphan, and Helmi streams, exploiting both the individual and combined data sets. We describe the Galactic potential with a Stäckel model, and vary up to five parameters simultaneously. We find that we can only constrain the enclosed mass, and that the strongest constraints come from the GD-1, Pal 5, and Orphan streams whose combined data set yields $M(\lt 20\, \mathrm{kpc}) = 2.96^{+0.25}_{-0.26} \times 10^{11} \, \mathrm{ M}_{\odot}$. When including the Helmi stream in the data set, the mass uncertainty increases to $M(\lt 20\, \mathrm{kpc}) = 3.12^{+3.21}_{-0.46} \times 10^{11} \, \mathrm{M}_{\odot}$.


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