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

Astronomy and Astrophysics - France
doi 10.1051/0004-6361/201833501
Full Text
Abstract

Available in full text

Date
Authors
Publisher

EDP Sciences

Related search

The Kinematics and Surface Mass Density in the Solar Neighbourhood Using TGASxRAVE

Proceedings of the International Astronomical Union
AstrophysicsAstronomyPlanetary ScienceSpace
2017English

Galaxy Morphologies in the Era of Big-Data Surveys

Proceedings of the International Astronomical Union
AstrophysicsAstronomyPlanetary ScienceSpace
2015English

BIG-DATA and the Challenges for Statistical Inference and Economics Teaching and Learning

Multidisciplinary Journal for Education, Social and Technological Sciences
2017English

Simultaneous Inversion of Multiple Microseismic Data for Event Locations and Velocity Model With Bayesian Inference

2016English

Can Big Data Solve the Fundamental Problem of Causal Inference?

PS - Political Science and Politics
SociologyPolitical Science
2014English

Fast Phylogenetic Inference From Typing Data

Algorithms for Molecular Biology
Computational TheoryApplied MathematicsStructural BiologyMolecular BiologyMathematics
2018English

Possible Density Dependent Local Variations in the IMF

Proceedings of the International Astronomical Union
AstrophysicsAstronomyPlanetary ScienceSpace
2015English

Observational Constraints for the Chemical Evolution of the Solar Neighbourhood

International Astronomical Union Colloquium
1977English

The Geneva-Copenhagen Survey of the Solar Neighbourhood

Astronomy and Astrophysics
AstrophysicsAstronomyPlanetary ScienceSpace
2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy