ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:1611.014] AIMS: Asteroseismic Inference on a Massive Scale

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.

Code site:
http://lesia.obspm.fr/perso/daniel-reese/spaceinn/aims/index.html https://github.com/benrendle/AIMS
Used in:
https://ui.adsabs.harvard.edu/abs/2017EPJWC.16005010N
Described in:
https://ui.adsabs.harvard.edu/abs/2019MNRAS.484..771R
Bibcode:
2016ascl.soft11014R

Views: 2586

ascl:1611.014
Add this shield to your page
Copy the above HTML to add this shield to your code's website.