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

Lachaume, R; Rabus, M; Jordán A.

Keywords: data reduction, statistics, long-baseline interferometry

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.

Más información

Título según WOS: Accurate assessment of uncertainties in model fits of interferometric data. The bootstrap method
Título según SCOPUS: An accurate assessment of uncertainties in model fits of interferometric data. The bootstrap method
Título de la Revista: 18TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS
Volumen: 9146
Editorial: SPIE-INT SOC OPTICAL ENGINEERING
Fecha de publicación: 2014
Idioma: English
DOI:

10.1117/12.2057447

Notas: ISI, SCOPUS