Revisiting and assessing uncertainties in stellar populations synthesis models
M. Cervino (IAA-Csic), V. Luridiana (IAA-Cisc)

TL;DR
This review critically examines the uncertainties in stellar population synthesis models, analyzing their sources, impacts, and proposing strategies for more reliable and transparent modeling practices.
Contribution
It provides a comprehensive assessment of uncertainties in synthesis models and offers practical strategies to mitigate their effects and improve model reliability.
Findings
Isochrone interpolation is generally reliable at turn-off ages.
Fuel consumption theorem and isochrone synthesis can give inconsistent results.
Derivative quantities like SN-rate are effective bug detectors.
Abstract
In this review we address the uncertainties implicit in evolutionary synthesis model computations. After describing the general structure of synthesis codes, we discuss several source of uncertainties that may affect their results. In particular, we discuss the uncertainties arising in the computation of isochrones from evolutionary tracks; those related to atmosphere models; those that are a consequence of the incompleteness of the input ingredients; and those associated with the computational aspect used in synthesis codes. We also discuss the issue of the inclusion of distributed properties in synthesis models; as a paradigm of this case, we illustrate the difficulties implied by the inclusion of tracks with rotation in synthesis models. Finally, we describe several examples of the statistical approach to population synthesis. We report on the failure of the fuel consumption theorem…
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Taxonomy
TopicsEvolution and Genetic Dynamics · Microbial Metabolic Engineering and Bioproduction · Evolutionary Algorithms and Applications
