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The mock data in this section are designed to mimic cold/hot streams in the Milky Way halo and the halo star population. Key questions are:
(1) What can we learn about the gravitational potential from such cold streams or halo stars? (2) Can we find clear evidence for triaxiality? (3) Can we find any evidence for granularity or substructure in the potential?
If posting new tests, please try to approximately follow the template set out for the “spherical collisionless tests” here. Also please add your challenge to the table in the next section.
Key working group coordinators: Robyn Sanderson, Andreas Küpper, Andreea Font
In order to ensure the Gaia archive meets the need of the community we are looking for feedback from the future archive users. Some feedback has already been collected through the GREAT network and is listed on the following website. Further input is encouraged. http://great.ast.cam.ac.uk/Greatwiki/GaiaDataAccess
This is part of the GENIUS project set up to maximise the impact of Gaia through providing more advanced tools with the archive i.e. data mining tools and interactive visualization. A small introduction to the project can be found here https://gaia.am.ub.es/Twiki/pub/GENIUS/ReferenceDocuments/GENIUS-Distribution.pdf
For any further information please feel free to send me an email (cosign AT strw.leidenuniv.nl), and I can try and help or pass the information on to the relevant people.
Challenge: How many tidal stellar streams will be detected by Gaia? Use a series of N-body simulations of Milky Way-type galaxies to predict the number and properties of streams to be detected by Gaia in the stellar halo.
Simulations available: Robyn Sanderson's halo of streams, NEW (Aug/2015) Error-convolved Gaia- mock catalogues for K giants and RR Lyrae stars from the Aquarius haloes and haloes from LJMU's Gas-dynamical simulations.
Methods: Great circle method (Cecilia Mateu). Please add your methods here, and add a detailed description on the Methods page.
Here we provide some catalogues of streams identified in an automated search of the Aquarius A2 error-convolved mock catalogue using the great circle + proper motion version of the mGC3 method (nGC3, Mateu et al. in prep). These could be used as inputs for the ‘Determining the Potential’ Challenges to explore the effect of errors, biases, incompleteness and contamination.
The catalogues provided correspond to five peaks identified in nGC3 pole count maps, labeled IDpole*. Each file has all the stars associated to each pole detection and so contains stars from the identified stream as well as contaminants from other progenitors. The five detections have different levels of purity ranging from ~70% down to ~10%, and the streams have different morphologies from great-circles to shells. The available files are:
The catalogue files are named AqA2KIII.nGC3.IDpole#.IDstream#.dat, where IDpole refers to the label assigned to each peak detected in the pole count map. IDstream is the progenitor ID for the stream that best corresponds to the IDpole detection. The structure of the catalogues is the following:
For a detailed description of how these catalogues were produced, please see go to the Error-convolved mock catalogue of individual halo stellar tracers. The file AqA2KIII.nGC3.IDpole.log is a log that contains IDstream, IDpole and purity. Purity is the fraction of stars in IDpole that come from the progenitor IDstream. Frec is the fraction of stars from the progenitor IDstream that lie in IDpole.
The figures below show X-Z (left) and X-Y (middle) plots for each of the 5 streams, as well as their corresponding nGC3 pole-count map (right).
Below are listed a number of different challenges posed by various groups. These explore various ways of complicating the problem. Here we organize the different challenges based on four characteristics: the type of potential (“Easy” = spherical, “Medium” = axisymmetric or triaxial, “Complex” = from a dark matter cosmological simulation), whether Gaia uncertainties are included, whether self-gravity of the disrupting satellites is included, and the number of streams in the sample. Links in the first column take you to the full description further down the page.
|Spherical Halo||Easy||no, yes||no||1, 20, 153||http://arxiv.org/abs/1404.6534|
|Evolving and static streams||Easy + time evol.||yes||no||15||http://arxiv.org/abs/1401.5797; Buist et al. (in prep)|
|Sagittarius stream||Medium||no, yes||yes||1||Law & Majewski, 2010, ApJ, 714, 229; Price-Whelan et al. (2014)|
|Pal 5||Medium||no, yes||yes||1||Küpper et al., in prep.|
|Via Lactea||Complex||no||yes||4||Diemand et al., 2008, Nature, 454, 735; Bonaca et al. (2014)|
|Aquarius||Complex||no, yes||yes||10, full halo||Cooper et al, 2010; Lowing et al., 2014.; Wang et al, in prep, Mateu et al. in prep|
|Gas-dynamical sims||Complex||no, yes||yes||full halo||Font et al, in prep; Wang et al, in prep., Mateu et al. in prep|
|Progenitor & host DM profile||Medium||no, yes||yes||1 per data set||Errani, Penarrubia & Tormen 2015|
See the challenges page for a detailed description of the Challenges.
Please, post your coordinate converters, etc. here!
Paul McMillan's coordinate converter is one of the many things in his Torus code. See the executable Coord_converter. It's on Github here: https://github.com/PaulMcMillan-Astro/Torus
Andreas Küpper's simple coordinate converter (called coco; in C) can be found here: https://github.com/ahwkuepper/coco
Cecilia Mateu's stream finder, mGC3: https://github.com/cmateu/PyMGC3 [NEW features: pole-count map plotting utilities available]
Merce Romero's Gaia Errors Fortran executable and subroutine (July 23rd, 2015): https://github.com/mromerog/Gaia-errors [NEW feature: simulate errors for any Data Release.]