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Analysis of (radio) spectra — Bojan Nikolic web pages (r. 329)

Analysis of (radio) spectra€ґ

The is the main page for code for Bayesian analysis of radio spectra and similar observational data.

Introduction€ґ

Observed radio spectra often consist of few measurements (typically 3–10) with significant errors against which it is tempting to try to fit a number of different models. A Bayesian approach realised using the nested sampling algorithms allows:

  • objective selection between the available models
  • a mechanism to introduce prior information (e.g., constraints on total luminosity, maximum slope of power-law like components, etc)
  • full probability distribution of model parameters, not just a point estimate with symmetric error

Where can I find out more?€ґ

The method is described in the paper Paper I: Method. There are forthcoming papers with application of the approach and the software to ULIRGS, radio-galaxies and near-by galaxies.

Summary of version history€ґ

RNested€ґ

It is recommended to use the R re-implementation, which is detailed at on RNested – Nested Sampling in R & analysis of spectra. page.

Version 1.0€ґ

This is the first version applied to original observations and used to make physical conclusions.

Version 0.1€ґ

This is the first public release of the library, arXiv:0912.2317