Bootstrap resampling as a tool for radio interferometric imaging fidelity assessment

Athol Kemball, Adam Martinsek

Research output: Contribution to journalArticlepeer-review


We report on a numerical evaluation of the statistical bootstrap as a technique for radio interferometric imaging fidelity assessment. The development of a fidelity assessment technique is an important scientific prerequisite for automated pipeline reduction of data from modern radio interferometers. We evaluate the statistical performance of two bootstrap methods, the model-based bootstrap and subsample bootstrap, against a Monte Carlo parametric simulation, using interferometric polarization calibration and imaging as the representative problem under study. We find both statistical resampling techniques to be viable approaches to radio interferometric imaging fidelity assessment that merit further investigation. We also report on the development and implementation of a new self-calibration algorithm for radio interferometric polarimetry, which makes no approximations for the polarization source model.

Original languageEnglish (US)
Pages (from-to)1760-1775
Number of pages16
JournalAstronomical Journal
Issue number3
StatePublished - Mar 2005


  • Methods: statistical
  • Techniques: image processing
  • Techniques: interferometric
  • Techniques: polarimetric

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


Dive into the research topics of 'Bootstrap resampling as a tool for radio interferometric imaging fidelity assessment'. Together they form a unique fingerprint.

Cite this