Gaia Universe model snapshot - A statistical analysis of the expected contents of the Gaia catalogue

By Annie Robin, X. Luri, C. Reyl'e, Yago Isasi Parache, E. Grux, Sergi Blanco-Cuaresma, Frédéric Arenou, C. Babusiaux, M. Belcheva, R. Drimmel and 10 more. 2012

138 citations recorded by the source corpus.

Context. This study has been developed in the framework of the computational simulations that are executed for the preparation of the ESA Gaia astrometric mission. Aims. We focus on describing the objects and characteristics that Gaia will potentially observe without taking into consideration instrumental effects (detection efficiency, observing errors). Methods. The theoretical Universe model prepared for the Gaia simulation has been statistically analysed at a given time. Ingredients of the model are described, with the greatest emplasis on the stellar content, the double and multiple stars, and variability. Results. In this simulation the errors have not yet been included. Hence we estimated the number of objects and their theoretical photometric, astrometric and spectroscopic characteristics if they are perfectly detected. We show that Gaia will be able to potentially observe 1.1 billion of stars (single or part of multiple star systems) of which about 2% are variable stars and 3% have one or two exoplanets. At the extragalactic level, observations will be potentially composed of several millions of galaxies, half a million to 1 million quasars and about 50 000 supernovae that will occur during the five years of the mission.

Subfields: Astronomy and Astrophysics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/23b9616b6c3a0bb51f73f619c8fde8cffb6dbf7e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

In Instrumentation

Citations in the corpus

Impacts of a flaring star-forming disc and stellar radial mixing on the vertical metallicity gradient (2016, background): “The European Space Agency (ESA)’s Gaia mission will soon provide us the 6D (or 5D for faint stars) phase space distribution of hundreds of million of giant stars which cover a large volume of the Galactic discs (Robin et al. 2012).”
Estimating Distances from Parallaxes (2015, methodology): “Using a published simulation of what Gaia is expected to observe (Robin et al. 2012) together with the first post-launch estimates of Gaia’s end-of-mission, sky-averaged parallax accuracy (de Bruijne et al. 2015), I have calculated the fraction of stars with expected fractional parallax errors…”
The Milky Way’s stellar disk (2013, background): “…into a consistent—if not always dynamically consistent—stellar-populations-based model that can be used to simulate the expected content of new surveys (e.g., Robin et al. 2012), test Disk analyses on realistic mock data, and provide fiducial or background models for the interpretation of new data.”
Gaia Data Release 2 (2018, methodology): “used in this paper The data used in this paper is from a Gaia Universe Model Snapshot (GUMS) simulation (Robin et al. 2012), together with the Gaia-like uncertainties and an estimation of the observable data.”
Gaia-2MASS 3D maps of Galactic interstellar dust within 3 kpc (2019, methodology): “…profiles and their derivatives, i.e. reddening or extinction per unit distance, were built by Marshall et al. (2006), Chen et al. (2013) and Schultheis et al. (2014) based on the Besançon model of stellar population synthesis (Robin et al. 2012) and 2MASS, GLIMPSE and VVV photometry, respectively.”
Clusters and mirages: cataloguing stellar aggregates in the Milky Way (2019, methodology): “Figure C.1 shows the CMD of a synthetic field population obtained from the Gaia Universe Snapshot Model (GUMS, Robin et al. 2012).”