Astrostatistics - General purpose¶

• APEMoST
  • a general purpose MCMC sampler for Parameter estimation and Model comparison using Bayesian inference
  • Easy-to-use, fast, parallelized.
  • MCMC with parallel tempering. Calculates marginals and model evidence.
  • Download, documentation and more information at http://apemost.sf.net/
• PyAPEMoST
  • Python bridge allowing models written in Python
  • Visualization of marginals, correlation plots; Watching the progress of APEMoST.
  • Download, documentation and more information at http://johannesbuchner.github.com/PyMultiNest/
• PyMultiNest
  • Python bridge and visualization for MultiNest, allowing models written in Python
  • Visualization of marginals, correlation plots; Watching the progress of MultiNest.
  • MultiNest is a Monte Carlo algorithm for calculating the evidence of a model (for model comparison in the Bayesian framework).
  • Download, documentation and more information at http://johannesbuchner.github.com/PyMultiNest/
• PyMultiNest tutorial
  • Tutorial to PyMultiNest for Monte Carlo Methods school

Applied Astrostatistics and Astrophysics¶

• Selected talks:

  • Ringberg meeting 2013
  • Statistics conference 2014
  • obscured AGN workshop 2014

• Bayesian X-ray spectral analysis – squeeze the most information out of your counts: http://arxiv.org/abs/1402.0004

  • Applying Bayesian inference using nested sampling for better parameter estimation, and for general-purpose model comparison.
  • Software available at https://github.com/JohannesBuchner/BXA for Sherpa and PyXspec.
  • Studying the torus properties of high-redshift AGN (same paper)

• A multi-frequency study of the luminosity function of AGN (Current PhD project)

  • Studying the properties of high-z (z=0.5-3) AGN: Geometry of the obscurer, origin and relation of the spectral components.
  • Studying the volume density of AGN as a function of luminosity, distance and obscuration. This problem is hard due to strong selection biases.
  • Studying the influences of selection bias, incomplete or false redshift information on understanding the evolution AGN, particurly obscured (X-ray) AGN.

• Bayesian association of X-ray, infrared and optical sources in catalogues.

• Redshift information from AGN X-ray spectra (side project in collaboration with Mara Salvato)

• Master thesis: Dynamic scheduling and planning parallel observations on large Radio Telescope Arrays with the Square Kilometre Array in mind

• Bachelor thesis: Stellar pulsation in solar-type stars – Evidence for higher-order pulsations in noisy data.

  For more projects and experience, see my Curriculum Vitae.

For the software, see Code Repositories