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AIMS: Asteroseismic Inference on a Massive Scale

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Ada Coda
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AIMS: Asteroseismic Inference on a Massive Scale

Postby 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.

Site: http://bison.ph.bham.ac.uk/spaceinn/aims/
http://adsabs.harvard.edu/abs/2017EPJWC.16005010N

Bibcode: 2016ascl.soft11014R

Preferred citation method: “This article made use of AIMS, a software for fitting stellar pulsation data, developed in the context of the SPACEINN network, funded by the European Commission’s Seventh Framework Programme.”

ID: ascl:1611.014
Last edited by Ada Coda on Sun May 06, 2018 7:35 am, edited 1 time in total.
Reason: Updated code entry.

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