Goodness-of-fit test for isochrone fitting in the Gaia era. Statistical assessment of the error distribution
G. Valle, M. Dell'Omodarme, E. Tognelli

TL;DR
This paper develops a statistical goodness-of-fit test for stellar isochrone fitting in Gaia data, assessing the error distribution and the detectability of model parameter variations using synthetic and real cluster CMDs.
Contribution
It derives the distribution of the fit statistic for CMDs, validates its assumptions, and evaluates the sensitivity to different stellar model parameters and observational effects.
Findings
The error distribution follows a chi-squared distribution with specific degrees of freedom.
Detectability of model parameter variations depends on photometric accuracy and age.
The goodness-of-fit test remains valid for real cluster data with contamination.
Abstract
[...] This paper presents a rigorous derivation of a goodness-of-fit statistics for colour-magnitude diagrams (CMD). We discuss the reliability of the underlying assumptions and their validity. We derived the distribution of the sum of squared Mahalanobis distances of stellar data and theoretical isochrone for a generic set of data and models. We applied this to the case of synthetic CMDs constructed to mimic real data of open clusters in the GAIA sample. We analysed the capability of distinguishing among different sets of input physics and parameters that were used to compute the stellar models. We generated synthetic clusters from isochrones computed with these perturbed quantities, and we evaluated the goodness-of-fit with respect to the unperturbed isochrone. We show that when magnitudes are available for each of the observational objects and hyperparameters are…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
