AIMS: Asteroseismic Inference on a Massive Scale

Discussion topics for individual codes
Post Reply
Ada Coda
ASCL Robot
Posts: 1702
Joined: Thu May 08, 2014 5:37 am

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.

Site: https://github.com/benrendle/AIMS
https://ui.adsabs.harvard.edu/abs/2017EPJWC.16005010N

Bibcode: 2016ascl.soft11014R

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2019MNRAS.484..771R

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.

Post Reply