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- W4289192010 abstract "We develop a new theoretical framework to generate Besanc{c}on 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 $approx 10^4$ times faster. By analysing Tycho-2 data we obtain a thin disc star formation history decreasing in time and a present rate of $1.2 pm 0.2 M_odot/yr$. The resulting total stellar mass density in the Solar Neighbourhood is $0.051_{-0.005}^{+0.002} M_odot/pc^3$ and the local dark matter density is $0.012 pm 0.001 M_odot/pc^3$. For the composite IMF we obtain a slope of $alpha_2={2.1}_{-0.3}^{+0.1}$ in the mass range between $0.5 M_odot$ and $1.53M_odot$. The results of the slope at the high mass range are trustable up to $4M_odot$ and highly depend on the choice of the extinction map (obtaining $alpha_3={2.9}_{-0.2}^{+0.2}$ and $alpha_3={3.7}_{-0.2}^{+0.2}$ 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." @default.
- W4289192010 created "2022-08-01" @default.
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- W4289192010 date "2018-12-01" @default.
- W4289192010 modified "2023-10-14" @default.
- W4289192010 title "BGM FASt: Besançon Galaxy Model for big data" @default.
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- W4289192010 doi "https://doi.org/10.1051/0004-6361/201833501" @default.
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