PLATO Hare-and-Hounds exercise: Asteroseismic model fitting of main-sequence solar-like pulsators
M. S. Cunha, I. W. Roxburgh, V. Aguirre B{\o}rsen-Koch, W. H. Ball, S., Basu, W. J. Chaplin, M.-J. Goupil, B. Nsamba, J. Ong, D. R. Reese, K. Verma,, K. Belkacem, T. Campante, J. Christensen-Dalsgaard, M. T. Clara, S., Deheuvels, M. J. P. F. G. Monteiro, A. Noll, R. M. Ouazzani

TL;DR
This study evaluates the accuracy of asteroseismic property inference for main-sequence solar-like stars using a simulated data exercise, highlighting the effects of different physics assumptions and analysis choices.
Contribution
It presents a hare-and-hounds exercise simulating stellar data to assess the accuracy and biases of asteroseismic inference methods for main-sequence stars.
Findings
Maximum relative errors: 4.32% (mass), 1.33% (radius), 11.25% (age)
Systematic biases linked to physics assumptions, e.g., gravitational settling and helium enrichment
A few frequencies, especially with at least one l=2 mode, suffice for accurate mass and radius estimates.
Abstract
Asteroseismology is a powerful tool to infer fundamental stellar properties. The use of these asteroseismic-inferred properties in a growing number of astrophysical contexts makes it vital to understand their accuracy. Consequently, we performed a hare-and-hounds exercise where the hares simulated data for 6 artificial main-sequence stars and the hounds inferred their properties based on different inference procedures. To mimic a pipeline such as that planned for the PLATO mission, all hounds used the same model grid. Some stars were simulated using the physics adopted in the grid, others a different one. The maximum relative differences found (in absolute value) between the inferred and true values of the mass, radius, and age were 4.32 per cent, 1.33 per cent, and 11.25 per cent, respectively. The largest systematic differences in radius and age were found for a star simulated…
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