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Paper: |
MADYS: A Unified Framework for Parameter Estimation of Young Stars and Directly-Imaged Planets |
Volume: |
541, ADASS XXXIII |
Page: |
454 |
Authors: |
V. Squicciarini |
DOI: |
10.26624/QXZZ2812 |
Abstract: |
Thanks to the unrivaled astrometric and photometric performances of
Gaia, new impetus has been given to the study of young stars: both from an environmental perspective, as members of comoving star-forming regions, and from an individual perspective, as targets amenable to planet-hunting direct-imaging observations.
In addition to this, direct imaging of giant planets and brown dwarfs thanks to ground-based (e.g., VLT) and space-borne (JWST) instruments is providing the community
with larger and larger samples of young objects that are already paving the way to a
tremendous boost in the understanding of the physics underlying their formation and
atmospheric properties.
In view of the large availability of theoretical evolutionary models, both the stellar
and the planetary field would benefit from a unified framework that allows a straight-forward comparison of physical parameters obtained by different stellar and substellar
models.
To this aim, I created the Manifold Age Determination for Young Stars (MADYS),
a flexible Python tool for parameter determination of young stellar and substellar objects based on isochronal fitting of observed photometry. MADYS is equipped with
automatic modules handling ADQL queries of input list of stars, the computation of
interstellar extinction, the estimate of photometric quality and, finally, the computation
of astrophysical parameters and the graphical representation of posterior distributions
within the parameter space. More than 250 photometric filters and 20 models are currently available in MADYS, allowing a self-consistent and straightforward comparison
of the results obtained by different evolutionary models. |
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