Predictions for the detection of Tidal Streams with Gaia using Great Circle Methods
Cecilia Mateu (1,2), Andrew Cooper (3), Andreea S. Font (4), Luis, Aguilar (2), Carlos Frenk (3), Shaun Cole (3), Wenting Wang (3), Ian G., McCarthy (4) ((1) CIDA (2) IA-UNAM, Ensenada (3) ICC Durham (4) Astrophysics, Research Institute, Liverpool)

TL;DR
This study evaluates Gaia's ability to detect tidal streams in the Milky Way halo using the nGC3 method on simulated data, predicting 4-13 streams detectable with high efficiency and analyzing the impact of mission extensions.
Contribution
It introduces and tests the nGC3 great-circle method on realistic Gaia mock catalogues, assessing its effectiveness in detecting tidal streams across different galaxy formation scenarios.
Findings
nGC3 detection boundary depends on stream width and overdensity
4-13 streams expected to be detectable in a typical Milky Way halo
Detection efficiency exceeds 80% within the boundary
Abstract
The Gaia astrometric mission may offer an unprecedented opportunity to discover new tidal streams in the Galactic halo. To test this, we apply nGC3, a great-circle-cell count method that combines position and proper motion data to identify streams, to ten mock Gaia catalogues of K giants and RR Lyrae stars constructed from cosmological simulations of Milky Way analogues. We analyse two sets of simulations, one using a combination of -body and semi-analytical methods which has extremely high resolution, the other using hydro-dynamical methods, which captures the dynamics of baryons, including the formation of an in situ halo. These ten realisations of plausible Galactic merger histories allow us to assess the potential for the recovery of tidal streams in different Milky Way formation scenarios. We include the Gaia~selection function and observational errors in these mock catalogues.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
