AIMS: Asteroseismic Inference on a Massive Scale

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Ada Coda
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AIMS: Asteroseismic Inference on a Massive Scale

Post by Ada Coda » Sat Nov 26, 2016 5:16 pm

AIMS: Asteroseismic Inference on a Massive Scale

Abstract: AIMS (Asteroseismic Inference on a Massive Scale) estimates stellar parameters and credible intervals/error bars in a Bayesian manner from a set of seismic frequency data and so-called classic constraints. To achieve reliable parameter estimates and computational efficiency it searches through a grid of pre-computed models using an MCMC algorithm; interpolation within the grid of models is performed by first tessellating the grid using a Delaunay triangulation and then doing a linear barycentric interpolation on matching simplexes. Inputs for the modeling consists of individual frequencies from peak-bagging, which can be complemented with classic spectroscopic constraints.

Credit: Reese, Daniel R.


Bibcode: 2016ascl.soft11014R

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ID: ascl:1611.014
Last edited by Ada Coda on Sun Jan 19, 2020 9:46 pm, edited 1 time in total.
Reason: Updated code entry.

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