Presentation + Paper
26 August 2022 Flexible spectro-interferometric modelling of OIFITS data with PMOIRED
Author Affiliations +
Abstract
Despite image reconstruction becoming more widespread when interpreting OIFITS Data, model fitting in u,v space often remains the best way to interpret data, either because of the sparsity of the data, or because a quantitative measurement needs to be done. PMOIRED, is a flexible Python library to visualize, manipulate and model OIFITS data using simple geometric models. The strength of PMOIRED resides in its capability to combine linearly various simple components to create complex scenes, while linking, constraining, and adding priors to fitted parameters. The code also enables grid search to find global minima, as well as data resampling to better evaluate uncertainties. In addition to analytical functions, arbitrary radial profiles, azimuthal variations or sparse wavelet modelling of spectra are implemented.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antoine Mérand "Flexible spectro-interferometric modelling of OIFITS data with PMOIRED", Proc. SPIE 12183, Optical and Infrared Interferometry and Imaging VIII, 121831N (26 August 2022); https://doi.org/10.1117/12.2626700
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KEYWORDS
Data modeling

Visibility

Stars

Interferometry

Fourier transforms

Binary data

Modeling

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