paper

BGM FASt: Besançon Galaxy Model for Big Data. Simultaneous inference of the IMF, SFH and density in the Solar Neighbourhood

arXiv:1809.03511 · doi:10.1051/0004-6361/201833501

Abstract

We develop a new theoretical framework to generate Besançon Galaxy Model fast approximate simulations (BGM FASt) to address fundamental questions of the Galactic structure and evolution performing multi-parameter inference. As a first application of our strategy we simultaneously infer the IMF, the star formation history and the stellar mass density in the Solar Neighbourhood. The BGM FASt strategy is based on a reweighing scheme, that uses a specific pre-sampled simulation, and on the assumption that the distribution function of the generated stars in the Galaxy can be described by an analytical expression. To validate BGM FASt we execute a set of tests. Finally, we use BGM FASt with an approximate Bayesian computation algorithm to obtain the posterior PDF of the inferred parameters, by comparing synthetic versus Tycho-2 colour-magnitude diagrams. Results: The validation shows a very good agreement between BGM FASt and the standard BGM, with BGM FASt being times faster. By analysing Tycho-2 data we obtain a thin disc star formation history decreasing in time and a present rate of . The resulting total stellar mass density in the Solar Neighbourhood is and the local dark matter density is . For the composite IMF we obtain a slope of in the mass range between and . The results of the slope at the high mass range are trustable up to and highly depend on the choice of the extinction map (obtaining and respectively, for two different extinction maps). Systematic uncertainties are not included. Conclusions: The good performance of BGM FASt demonstrates that it is a very valuable tool to perform multi-parameter inference using Gaia data releases.

Accepted for publication by A&A. 30 pages (23 pages of main body and 7 pages of Appendixes) , 15 figures and 4 tables