Accurate assessment of uncertainties in model fits of interferometric data. The bootstrap method
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: | COMPUTATIONAL OPTICS 2024 |
Volumen: | 9146 |
Editorial: | SPIE-INT SOC OPTICAL ENGINEERING |
Fecha de publicación: | 2014 |
Idioma: | English |
DOI: |
10.1117/12.2057447 |
Notas: | ISI, SCOPUS |