An accurate assessment of uncertainties in model fits of interferometric data. The bootstrap method

R. Lachaume, M. Rabus, A. Jordán

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We propose a method to overcome the usual limitation of data reduction pipelines and of the Optical Interferometry FITS format: the absence of correlated and non Gaussian errors. To do so, we use a bootstrap method that allows to sample the probability density function of the interferometric observables. We have applied the method to the accurate assessment of uncertainties on the stellar diameters of under-resolved stars.

Original languageEnglish
Title of host publicationOptical and Infrared Interferometry IV
EditorsJayadev K. Rajagopal, Michelle J. Creech-Eakman, Fabien Malbet
PublisherSPIE
ISBN (Electronic)9780819496140
DOIs
StatePublished - 2014
Externally publishedYes
EventOptical and Infrared Interferometry IV - Montreal, Canada
Duration: 23 Jun 201427 Jun 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9146
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptical and Infrared Interferometry IV
Country/TerritoryCanada
CityMontreal
Period23/06/1427/06/14

Keywords

  • data reduction
  • long-baseline interferometry
  • statistics

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