This repository includes the beta version of MADYS: the Manifold Age Determination for Young Stars, a flexible Python tool for age and mass determination of young stellar and substellar objects. In this first full release, MADYS automatically retrieves and cross-matches photometry from several catalogs, estimates interstellar extinction, and derives age and mass estimates for individual objects through isochronal fitting. Harmonising the heterogeneity of publicly-available isochrone grids, the tool allows to choose amongst 17 models, many of which with customisable astrophysical parameters (for a total of about 120 grids). Note that the grids are not downloaded when installing MADYS. Instructions on how to download them are provided in the ...
Understanding the formation and evolution of our Galaxy requires accurate distances, ages, and chemi...
International audienceWe present the first public version (v0.2) of the open-source and community-de...
We present a new method, using Bayesian estimation, to determine stellar ages and their uncertaintie...
This repository includes the beta version of MADYS: the Manifold Age Determination for Young Stars, ...
The Manifold Age Determination for Young Stars (MADYS) is a flexible Python tool for age and mass de...
Context. The unrivalled astrometric and photometric capabilities of the Gaia mission have given new ...
Complete database of stellar and substellar evolutionary models employed in the Manifold Age Determi...
International audienceContext. Stellar parameters are required in a variety of contexts, ranging fro...
Context. The Gaia Second Data Release provides precise astrometry and photometry for more than 1.3 b...
The ESA's astrometric flagship mission Gaia has added an invaluable wealth of astrometric and photom...
Context. Stellar parameters are required in a variety of contexts, ranging from the characterisation...
We present a catalogue of distances, masses, and ages for ∼3 million stars in the second Gaia data r...
We present a new method, using Bayesian estimation, to determine stellar ages and their uncertaintie...
Understanding the formation and evolution of our Galaxy requires accurate distances, ages, and chemi...
International audienceWe present the first public version (v0.2) of the open-source and community-de...
We present a new method, using Bayesian estimation, to determine stellar ages and their uncertaintie...
This repository includes the beta version of MADYS: the Manifold Age Determination for Young Stars, ...
The Manifold Age Determination for Young Stars (MADYS) is a flexible Python tool for age and mass de...
Context. The unrivalled astrometric and photometric capabilities of the Gaia mission have given new ...
Complete database of stellar and substellar evolutionary models employed in the Manifold Age Determi...
International audienceContext. Stellar parameters are required in a variety of contexts, ranging fro...
Context. The Gaia Second Data Release provides precise astrometry and photometry for more than 1.3 b...
The ESA's astrometric flagship mission Gaia has added an invaluable wealth of astrometric and photom...
Context. Stellar parameters are required in a variety of contexts, ranging from the characterisation...
We present a catalogue of distances, masses, and ages for ∼3 million stars in the second Gaia data r...
We present a new method, using Bayesian estimation, to determine stellar ages and their uncertaintie...
Understanding the formation and evolution of our Galaxy requires accurate distances, ages, and chemi...
International audienceWe present the first public version (v0.2) of the open-source and community-de...
We present a new method, using Bayesian estimation, to determine stellar ages and their uncertaintie...